To see the other types of publications on this topic, follow the link: Semantic technologies.
Dissertations / Theses on the topic 'Semantic technologies'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Semantic technologies.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
Haase, Peter. "Semantic technologies for distributed information systems." Karlsruhe : Univ.-Verl. Karlsruhe, 2006. http://www.uvka.de/univerlag/volltexte/2007/195/.
Full text
2
Palmér, Matthias. "Learning Applications based on Semantic Web Technologies." Doctoral thesis, KTH, Medieteknik och interaktionsdesign, MID, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104446.
Full textAbstract:
The interplay between learning and technology is a growing field that is often referred to as Technology Enhanced Learning (TEL). Within this context, learning applications are software components that are useful for learning purposes, such as textbook replacements, information gathering tools, communication and collaboration tools, knowledge modeling tools, rich lab environments that allows experiments etc. When developing learning applications, the choice of technology depends on many factors. For instance, who and how many the intended end-users are, if there are requirements to support in-application collaboration, platform restrictions, the expertise of the developers, requirements to inter-operate with other systems or applications etc. This thesis provides guidance on a how to develop learning applications based on Semantic Web technology. The focus on Semantic Web technology is due to its basic design that allows expression of knowledge at the web scale. It also allows keeping track of who said what, providing subjective expressions in parallel with more authoritative knowledge sources. The intended readers of this thesis include practitioners such as software architects and developers as well as researchers in TEL and other related fields. The empirical part of the this thesis is the experience from the design and development of two learning applications and two supporting frameworks. The first learning application is the web application Confolio/EntryScape which allows users to collect files and online material into personal and shared portfolios. The second learning application is the desktop application Conzilla, which provides a way to create and navigate a landscape of interconnected concepts. Based upon the experience of design and development as well as on more theoretical considerations outlined in this thesis, three major obstacles have been identified: The first obstacle is: lack of non-expert and user friendly solutions for presenting and editing Semantic Web data that is not hard-coded to use a specific vocabulary. The thesis presents five categories of tools that support editing and presentation of RDF. The thesis also discusses a concrete software solution together with a list of the most important features that have crystallized during six major iterations of development. The second obstacle is: lack of solutions that can handle both private and collaborative management of resources together with related Semantic Web data. The thesis presents five requirements for a reusable read/write RDF framework and a concrete software solution that fulfills these requirements. A list of features that have appeared during four major iterations of development is also presented. The third obstacle is: lack of recommendations for how to build learning applications based on Semantic Web technology. The thesis presents seven recommendations in terms of architectures, technologies, frameworks, and type of application to focus on. In addition, as part of the preparatory work to overcome the three obstacles, the thesis also presents a categorization of applications and a derivation of the relations between standards, technologies and application types.QC 20121105
3
Mepham, Will. "Discrete event calculus using Semantic Web technologies." Thesis, University of South Wales, 2010. https://pure.southwales.ac.uk/en/studentthesis/discrete-event-calculus-using-semantic-web-technologies(4015f132-5817-4646-9b7b-f3f1e8b27cfc).html.
Full textAbstract:
This thesis provides a detailed description of the research undertaken into the creation of a framework that uses Semantic Web languages to implement a recently developed commonsense reasoning formalism called Discrete Event Calculus (DEC). It aims to show to what extent DEC reasoning can be applied to Semantic Web data, using the Semantic Web standards and supporting development environments available for the purpose in 2008, when the research programme commenced. The research aims to provide an accurate and reusable DEC ontology using the languages defined in Semantic Web Standards. To this end, an ontology describing the DEC entities and axioms is defined in OWL and SWRL; this represents the core elements of the DEC formalism, namely its set of logical types and predicates and the relations between them. The ontology is used together with a proof-of-concept DEC resolver software that applies the ontology to an existing rules engine, so that new inferences can be created from a DEC domain. The design and implementation of the combined ontology and software framework are described in detail. The methodological issues involved in reconciling a software model with an ontology model are also discussed and the capabilities of the framework are validated by a series of tests modelled on established AI benchmark scenarios that can be resolved correctly using DEC. The results confirm that the framework will create the appropriate inferences with reference to the benchmark problems, though they also highlight some of current limitations in the framework, notably to do with how it represents changing fluent values. A detailed sample domain ontology is provided, which is based on the domain of turn-based multiplayer online games; this illustrates how the DEC ontology defined in this research could be extended for use with other domains. A further extension of the DEC ontology is proposed, which enables the resolver to represent real-world time values independently of the timepoints defined as part of the formalism. Finally, the strengths and extant boundaries of the chosen approach are discussed and suggestions are provided for improvements that could form the basis of future work.
4
Tous, Liesa Rubén. "Data Integration with XML and Semantic Web Technologies." Doctoral thesis, Universitat Pompeu Fabra, 2006. http://hdl.handle.net/10803/7535.
Full textAbstract:
En general, la integració de múltiples bases de dades heterogènies té com a objectiu oferir una visió unificada sobre un conjunt de dades preexistent. Aquesta tesi contribueix a diferents aspectes del disseny de sistemes de integració de dades moderns en el context de la World Wide Web. Per un costat, la tesi contribueix a la línia de recerca de la Integració Semàntica, que fa referència al problema de reconciliar dades de fonts autònomes mitjançant l'ús d'ontologies i altres eines semàntiques. La tesi suggereix una nova solució a la integració semàntica XML-RDF, i també contribueix al problema de l'Alineació d'Ontologies, definint una mesura de similitud semàntica rigorosa i escalable per grafs etiquetats i dirigits RDF. Per un altre costat, la tesi suggereix una nova solució al problema de traduir una consulta d'un usuari (dirigida a un esquema lògic intermediari), en consultes sobre un conjunt de fonts de dades autònomes, provistes de interfícies web restringides.
En general, la integración de múltiples bases de datos heterogenias tiene como objetivo ofrecer una visión unificada sobre un conjunto de datos preexistente. Esta tesis contribuye a diferentes aspectos del diseño de sistemas de integración de datos modernos en el contexto de la World Wide Web.
Por un lado, la tesis contribuye a la línea de investigación de la Integración Semántica, que hace referencia al problema de reconciliar datos de fuentes autónomas mediante el uso de ontologías i otras herramientas semánticas. La tesis sugiere una nueva solución a la integración semántica XML-RDF, y también contribuye al problema de la Alineación de Ontologías, definiendo una medida de similitud semántica rigurosa i escalable para grafos etiquetados y dirigidos RDF. Por otro lado, la tesis sugiere una nueva solución al problema de traducir una consulta de un usuario (dirigida a un esquema lógico intermediario), en consultas sobre un conjunto de fuentes de datos autónomas, provistas de interfaces web restringidas.
In general, integration of multiple heterogeneous databases aims at giving a unified view over a set of pre-existent data. This thesis contributes to different aspects of the design of modern data integration systems in the context of the World Wide Web.
On one hand, this thesis contributes to the Semantic Integration research trend, which refers to the problem of reconciling data from autonomous sources using ontologies and other semantic-based tools. The thesis suggests a novel solution to XML-RDF semantic integration and also contributes to the problem of Ontology Alignment, defining a rigorous and scalable semantic similarity measure for RDF labelled directed graphs. On the other hand, this thesis suggests a novel solution to the problem of translating a user query (targeting a logical mediated schema), into queries over a set of autonomous data sources provided with restricted web interfaces.
5
Wilmering, Thomas. "Applications of Semantic Web technologies in music production." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/9078.
Full textAbstract:
The development of tools and services for the realisation of the Semantic Web has been a very active field of research in recent years, with a strong focus on linking existing data. In the field of music information management, Semantic Web technologies may facilitate searching and browsing, and help to reveal relationships with data from other domains. At the same time, many algorithms have been developed to extract low and high-level features, which enable the user to analyse music and audio in detail. The use of semantics in the process of music production however is still a relatively new field of research. With computer systems and music processing applications becoming increasingly powerful and complex in their underlying structure, semantics can help musicians and producers in decision processes, and provide more natural interactions with the systems. Audio effects represent an integral part in modern music production. They modify an input signal and may be applied in order to enhance the perceived quality of a sound or to make more artistic changes to it in the composition process. Employing music information retrieval (MIR) and Semantic Web technologies specifically for the control of audio effects has the potential to be a significant step in their evolution. Detailed descriptions of the use of audio effects in a music production project can additionally facilitate the description of work flows and the reproducibility of production procedures, adding an additional layer of depth to MIR. We substantiate the hypothesis that the collection of audio related metadata during the production process is beneficial, by comparing the results of various feature extraction techniques on audio material before and after the application of audio effects. We develop a formal Semantic Web ontology for the domain of Audio Effects in the context of music production. The ontology enables the creation of detailed metadata about audio effects implementations within the Studio Ontology framework for use in music production projects. The ontology contains inter-linkable classification systems based on different criteria constituting an interdisciplinary classification. Finally, we evaluate the ontology and present several use cases and applications, such as adaptive audio effects using and creating semantic metadata.
6
Opuszko, Marek. "Using Semantic Web Technologies for Classification Analysis in Social Networks." Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-84016.
Full textAbstract:
The Semantic Web enables people and computers to interact and exchange
information. Based on Semantic Web technologies, different machine learning applications have been designed. Particularly to emphasize is the possibility to create complex metadata descriptions for any problem domain, based on pre-defined ontologies. In this paper we evaluate the use of a semantic similarity measure based on pre-defined ontologies as an input for a classification analysis. A link prediction between actors of a social network is performed, which could serve as a recommendation system. We measure the prediction performance based on an ontology-based metadata modeling as well as a feature vector modeling. The findings demonstrate that the prediction accuracy based on ontology-based metadata is comparable to traditional approaches and shows that data mining using ontology-based metadata can be considered as a very promising approach.
7
Nekvasil, Marek. "Evaluation of Semantic Applications for Enterprises." Doctoral thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-77049.
Full textAbstract:
Broader and broader areas of application deployment are covered by semantic technologies recently and in the meantime their scope is increasing constantly. The possibilities of semantic applications are now so vast that they cannot be judged as a single market segment any more. The business skepticism that arises due to the uncertainty of investments in such technologies is only augmented by these differences and picking up on that this thesis concentrates on the aspects that can enable and evaluate not only the economic efficiency of engaging the semantic technologies in a business environment but also the effectiveness of doing so. This work concentrates on the ways of how to prove the differences amongst semantic applications, define their distinct segments based on use-case, and subsequently identify their Critical Success Factors and evaluate them against the real conditions of the applications' deployment with the participation of people involved in their development. Following the results of these interactions this thesis presents an innovative approach that enables to construct models for judging the maturity of enterprises for the deployment of the respective applications including the actual construction of these models for all the identified applications' use-cases segments. Moreover, in a later part of the work the evaluation using these models is demonstrated on AQUA application (outcome of a project the author did personally partake in) along with sketching additional specifics that may help the timely assessment of semantics in certain cases. The results presented in later chapters are supported by the underlying background researches in the fields of Semantic Technologies and IT assessment both of whose state-of-the-art methods are described here. Usability of the current standardized methods (such as those used in COBIT) for assessing semantic applications is also considered with respect to the lack of other best practices in business deployment of semantics.
8
Priebe, Torsten. "Building integrative enterprise knowledge portals with semantic Web technologies." Berlin : Aka, 2005. http://deposit.ddb.de/cgi-bin/dokserv?id=2745741&prov=M&dok_var=1&dok_ext=htm.
Full text
9
Haase, Peter [Verfasser]. "Semantic technologies for distributed information systems / by Peter Haase." Karlsruhe : Univ.-Verl. Karlsruhe, 2007. http://d-nb.info/983197105/34.
Full text
10
Soltren, José Hiram. "Query-based database policy assurance using semantic web technologies." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/60819.
Full textAbstract:
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 133-135).
In this thesis, we present a novel approach to database security which looks at queries instead of the database tables themselves. In doing so, we use a number of Semantic Web technologies to define rules, translate queries, and make assertions about compliance with existing policies. We can ascertain compliance without looking at the contents of the database. Our system can function as a drop-in addition to an existing database system, adding additional functionality in a robust manner. The policies are written in the AIR language, and the reasoners and wrapper scripts in C++ and Python. We discuss the design and implementation of this system in detail.
by José Hiram Soltren.
M.Eng.
11
Vicient, Monllaó Carlos. "Moving towards the semantic web: enabling new technologies through the semantic annotation of social contents." Doctoral thesis, Universitat Rovira i Virgili, 2015. http://hdl.handle.net/10803/285334.
Full textAbstract:
La Web Social ha causat un creixement exponencial dels continguts disponibles deixant enormes quantitats de recursos textuals electrònics que sovint aclaparen els usuaris. Aquest volum d’informació és d’interès per a la comunitat de mineria de dades. Els algorismes de mineria de dades exploten característiques de les entitats per tal de categoritzar-les, agrupar-les o classificar-les segons la seva semblança. Les dades per si mateixes no aporten cap mena de significat: han de ser interpretades per esdevenir informació. Els mètodes tradicionals de mineria de dades no tenen com a objectiu “entendre” el contingut d’un recurs, sinó que extreuen valors numèrics els quals esdevenen models en aplicar-hi càlculs estadístics, que només cobren sentit sota l’anàlisi manual d’un expert. Els darrers anys, motivat per la Web Semàntica, molts investigadors han proposat mètodes semàntics de classificació de dades capaços d’explotar recursos textuals a nivell conceptual. Malgrat això, normalment aquests mètodes depenen de recursos anotats prèviament per poder interpretar semànticament el contingut d’un document. L’ús d’aquests mètodes està estretament relacionat amb l’associació de dades i el seu significat.
Aquest treball es centra en el desenvolupament d’una metodologia genèrica capaç de detectar els trets més rellevants d’un recurs textual descobrint la seva associació semàntica, es a dir, enllaçant-los amb conceptes modelats a una ontologia, i detectant els principals temes de discussió. Els mètodes proposats són no supervisats per evitar el coll d’ampolla generat per l’anotació manual, independents del domini (aplicables a qualsevol àrea de coneixement) i flexibles (capaços d’analitzar recursos heterogenis: documents textuals o documents semi-estructurats com els articles de la Viquipèdia o les publicacions de Twitter). El treball ha estat avaluat en els àmbits turístic i mèdic.
Per tant, aquesta dissertació és un primer pas cap a l'anotació semàntica automàtica de documents necessària per possibilitar el camí cap a la visió de la Web Semàntica.La Web Social ha provocado un crecimiento exponencial de los contenidos disponibles, dejando enormes cantidades de recursos electrónicos que a menudo abruman a los usuarios. Tal volumen de información es de interés para la comunidad de minería de datos. Los algoritmos de minería de datos explotan características de las entidades para categorizarlas, agruparlas o clasificarlas según su semejanza. Los datos por sí mismos no aportan ningún significado: deben ser interpretados para convertirse en información. Los métodos tradicionales no tienen como objetivo "entender" el contenido de un recurso, sino que extraen valores numéricos que se convierten en modelos tras aplicar cálculos estadísticos, los cuales cobran sentido bajo el análisis manual de un experto. Actualmente, motivados por la Web Semántica, muchos investigadores han propuesto métodos semánticos de clasificación de datos capaces de explotar recursos textuales a nivel conceptual. Sin embargo, generalmente estos métodos dependen de recursos anotados previamente para poder interpretar semánticamente el contenido de un documento. El uso de estos métodos está estrechamente relacionado con la asociación de datos y su significado. Este trabajo se centra en el desarrollo de una metodología genérica capaz de detectar los rasgos más relevantes de un recurso textual descubriendo su asociación semántica, es decir, enlazándolos con conceptos modelados en una ontología, y detectando los principales temas de discusión. Los métodos propuestos son no supervisados para evitar el cuello de botella generado por la anotación manual, independientes del dominio (aplicables a cualquier área de conocimiento) y flexibles (capaces de analizar recursos heterogéneos: documentos textuales o documentos semi-estructurados, como artículos de la Wikipedia o publicaciones de Twitter). El trabajo ha sido evaluado en los ámbitos turístico y médico. Esta disertación es un primer paso hacia la anotación semántica automática de documentos necesaria para posibilitar el camino hacia la visión de la Web Semántica.
Social Web technologies have caused an exponential growth of the documents available through the Web, making enormous amounts of textual electronic resources available. Users may be overwhelmed by such amount of contents and, therefore, the automatic analysis and exploitation of all this information is of interest to the data mining community. Data mining algorithms exploit features of the entities in order to characterise, group or classify them according to their resemblance. Data by itself does not carry any meaning; it needs to be interpreted to convey information. Classical data analysis methods did not aim to “understand” the content and the data were treated as meaningless numbers and statistics were calculated on them to build models that were interpreted manually by human domain experts. Nowadays, motivated by the Semantic Web, many researchers have proposed semantic-grounded data classification and clustering methods that are able to exploit textual data at a conceptual level. However, they usually rely on pre-annotated inputs to be able to semantically interpret textual data such as the content of Web pages. The usability of all these methods is related to the linkage between data and its meaning. This work focuses on the development of a general methodology able to detect the most relevant features of a particular textual resource finding out their semantics (associating them to concepts modelled in ontologies) and detecting its main topics. The proposed methods are unsupervised (avoiding the manual annotation bottleneck), domain-independent (applicable to any area of knowledge) and flexible (being able to deal with heterogeneous resources: raw text documents, semi-structured user-generated documents such Wikipedia articles or short and noisy tweets). The methods have been evaluated in different fields (Tourism, Oncology). This work is a first step towards the automatic semantic annotation of documents, needed to pave the way towards the Semantic Web vision.
12
Opuszko, Marek. "Using Semantic Web Technologies for Classification Analysis in Social Networks." Forschungsberichte des Instituts für Wirtschaftsinformatik der Universität Leipzig Heft 8/15. Interuniversitäres Doktorandenseminar Wirtschaftsinformatik der Universitäten Chemnitz, Dresden, Freiberg, Halle-Wittenberg, Jena und Leipzig, 2011. https://ul.qucosa.de/id/qucosa%3A11354.
Full textAbstract:
The Semantic Web enables people and computers to interact and exchange
information. Based on Semantic Web technologies, different machine learning applications have been designed. Particularly to emphasize is the possibility to create complex metadata descriptions for any problem domain, based on pre-defined ontologies. In this paper we evaluate the use of a semantic similarity measure based on pre-defined ontologies as an input for a classification analysis. A link prediction between actors of a social network is performed, which could serve as a recommendation system. We measure the prediction performance based on an ontology-based metadata modeling as well as a feature vector modeling. The findings demonstrate that the prediction accuracy based on ontology-based metadata is comparable to traditional approaches and shows that data mining using ontology-based metadata can be considered as a very promising approach.
13
Bicer, Veli. "Architecture Specification Of Service-oriented Systems Through Semantic Web Technologies." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608692/index.pdf.
Full textAbstract:
This thesis presents a semantic-based modeling approach for describing Service-Oriented Architectures (SOA). Ontologies are utilized as a major representation mechanism for describing various elements available in the architecture. The methodology proposes an architecture specification mechanism to constuct a unified ontology that enables transition from design concerns to the modeling elements. A multi-level modeling is also achieved by employing Model-Driven Engineering (MDE) techniques to describe various models at different stages of the software architecture. This aims to organize service-oriented models within a number of architecture viewpoints in order to provide an architectural perspective for SOA. The use of ontologies for model specification also allows us to make use of ontology mapping to specify the transformation between different models. Additionally, we present a case study to demonstrate the proposed methodology on a real-world healthcare scenario.
14
Saghafi, Arash. "Using semantic web technologies to implement flexible information management systems." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43018.
Full textAbstract:
Two main phenomena have recently become prominent in respect to information management. First, there has been a rapid increase in the number and variety of sources of information on the World Wide Web and in the role of users as content providers. In parallel, there has been an evolution of web technologies to support the creation, storage, and sharing of information. These developments have led to new paradigms such as cloud computing, crowdsourcing, and social collaboration. The second phenomenon is the increasing need of organizations to effectively and efficiently benefit from massive data — termed “big data” (a term also linked recently to cloud computing and to social network data). These two phenomena both indicate new needs and new technological opportunities.
Traditionally, information management has been based on storing data in structured databases, where the structure reflects some expected uses, and managed with (at least some) central control (even for distributed data). These assumptions, however, do not fit the new paradigms, where flexible information management is needed to support different views of multiple users, unknown future uses, no central control, and new unexpected sources.
This thesis explores an approach to information management intended to provide the flexibility to support multiple, varied, and emerging sources where uses of information may not be known in advance. The approach employs three principles. First, data should be stored independent of any pre-conceived “containers” that reflect anticipated uses (classes, tables). Second, reconciliation of meaning of data can be done by abstraction of the properties the data represent. Third, classification can be created as needed depending on the application, based on some usefulness considerations.
The thesis has two objectives. First, suggest how to apply these principles in the implementation of a flexible information management system. Second, demonstrate how semantic web technologies can be used to implement this approach. These technologies include triplestores (storing data in resource description framework), related query languages (SPARQL), and formal ontologies (Web Ontology Language). The thesis describes a prototype implementation, demonstrates it on a case study, and discusses its advantages compared to traditional database systems.
15
Duboc, Jean-Remy. "Dynamic feedback generation in virtual patients using semantic web technologies." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/355540/.
Full textAbstract:
Virtual patients are interactive tools commonly used by medical schools for teaching and learning, and as training tools for the development of clinical reasoning. The feedback delivered to students is a crucial feature in virtual patients. Personalised feedback, in particular, helps students to reflect on their mistakes and to organise their knowledge in order to use it appropriately in a clinical context. However, authoring personalised feedback in virtual patient systems can become a di�cult task, due to the large number of choices available to students and the complex implications of each choice. Additionally, the current technologies used for the design and exchange of virtual patients have limitations in terms of interoperability and data reusability. Semantic web technologies are designed to model complex knowledge in a flexible manner, allowing easy data sharing from multiple sources and automatic data processing. This thesis demonstrates the benefitts of Semantic Web technologies for the design of virtual patients, in particular for the automatic generation of personalised feedback. Seven important types of personalised feedback were identified from the literature, and a preliminary survey showed that students in year 3 to 5 consider two of these types of feedback to be particularly useful: feedback indicating actions that each student should have chosen but neglected, and feedback indicating the diagnoses that each student should have tested and rule out or confi�rmed, given the initial presentation of the patient. SemVP, a Semantic Web-based virtual patient system, was created and evaluated by medical students, using a quantitative survey and qualitative interviews. This study showed that SemVP can generate useful personalised feedback, without the need for a virtual case author to write feedback manually, using a semantic model representing both the virtual patient and each student's actions, and leveraging existing data sources available online.
16
Dehors, Sylvain. "Exploiting semantic web and knowledge management technologies for e-learning." Nice, 2007. http://www.theses.fr/2007NICE4006.
Full textAbstract:
Ce travail explore le potentiel des technologies du web sémantique et de la gestion des connaissances dans le cadre des systèmes de e-learning, notamment ceux présentant des contenus de cours « en-ligne » de manière facilitée et éventuellement personnalisée, et dans lesquelles le problème de la réutilisation de ressources existantes demeure un problème difficile. Dans ce contexte nous proposons une méthodologie et un système associé (QBLS), inspiré des pratiques en gestion des connaissances et reposant sur des outils et formalismes avancés du web sémantique. Notre proposition repose principalement sur trois points : La réutilisation de ressources pédagogiques existantes au travers d’un processus dit de « sémantisation ». Ce processus vise à contextualiser le contenu par rapport à la conceptualisation et la stratégie pédagogique de l’enseignant. L’exploitation de ressources pédagogiques annotées dans des interfaces web dynamiques. Nous insistons sur l’intérêt des standards du web sémantiques (OWL, RDF, SPARQL) dans une perspective pratique, reposant sur le déploiement du moteur de recherche sémantique Corese. Le suivi et l’analyse de l’activité de l’apprenant. Nos explorons le potentiel des visualisations et inférences à base de graphes pour l’analyse automatique ou manuelle des traces d’activités dans un cours sémantisé. Cette proposition théorique est appuyée par notre implémentation du système QBLS, pour « Question Based Learning System », où des ressources pédagogiques sont réutilisées, annotées et exploitées dans le cadre d’expérimentations en situation réelle menées à l’EPU de Nice Sophia-AntipolisThis work explores the potential applications of semantic web and knowledge management technologies for e-learning systems for accessing courses. It particularly addresses the difficult problem of reusing existing resources. In this scope, we propose a methodology and an associated system (QBLS) relying on cutting-edge semantic web tools and formalisms, that particularly develops three aspects: Reusing existing pedagogical resources through a process called "semantization". Pedagogical content is semi-automatically annotated with ontological concepts, from several points of view (domain, pedagogy, structure). It aims at contextualizing the material with regard to the teacher's conceptualization and pedagogical strategy. Exploiting annotated pedagogical resources in dynamic web interfaces. We show how semantic web technologies efficiently perform inferences based on ontological knowledge to personalize and adapt courses. The interest of semantic web standards (OWL, RDF, SPARQL) is highlighted in a practical perspective, relying on the deployment of the semantic search engine Corese. Tracking learner activity and analysis of this activity. We explore the potential of graphic based visualization and inferences to manually or automatically analyze activity traces on a semantized course. The theoretical proposal is supported by our implementation of the Question Based Learning System where learning resources available on the web are reused, annotated and exploited in real world experiments using semantic web technologies. The practical examples mentioned in this work are illustrated by two experiments conducted at the EPU of Nice Sophia-Antipolis
17
Contessi, Paolo. "Supporting semantic web technologies in the pervasive service ecosystems middleware." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4074/.
Full textAbstract:
Semantic Web technologies are strategic in order to fulfill the openness requirement of Self-Aware Pervasive Service Ecosystems. In fact they provide agents with the ability to cope with distributed data, using RDF to represent information, ontologies to describe relations between concepts from any domain (e.g. equivalence, specialization/extension, and so on) and reasoners to extract implicit knowledge.
The aim of this thesis is to study these technologies and design an extension of a pervasive service ecosystems middleware capable of exploiting semantic power, and deepening performance implications.
18
Niestroj, Michael Georg. "Utilising Semantic Web Technologies for Improved Road Network Information Exchange." Thesis, Curtin University, 2021. http://hdl.handle.net/20.500.11937/88109.
Full textAbstract:
Road asset data harmonisation is a challenge for the Australian road and transport authorities considering their heterogeneous data standards, data formats and tools. Classic data harmonisation techniques require huge databases with many tables, a unified metadata definition and standardised tools to share data with others. In order to find a better way to harmonise heterogeneous road network data, this dissertation uses Semantic Web technologies to investigate fast and efficient road asset data harmonisation.
19
Hagenston, Marty G., and Samuel G. Chance. "Assessing the potential value of semantic Web technologies in support of military operations." Thesis, Monterey, California. Naval Postgraduate School, 2003. http://hdl.handle.net/10945/864.
Full textAbstract:
Approved for public release; distribution is unlimitedRecent military operations have redefined the way modern warfare is waged. In a deliberate effort to achieve and retain information dominance and decision superiority, many innovative technologies have emerged to assist the human war fighter. Unquestionably, these technologies have generated resounding successes on the battlefield, the likes of which have never been seen. With all the success, however, there are still areas for improvement as the potential exists for further reducing already short sensor-to-shooter times. The current World Wide Web (WWW) is largely a human-centric information space where humans exchange and interpret data ([2] Berners-Lee, 1, 1999). The Semantic Web (SWEB) is not a separate Web, but an extension of the current one in which content is given well-defined meaning, better enabling computers and people to work in cooperation (Berners-Lee et al). The result is the availability of the various backgrounds, experiences, and abilities of the contributing communities through the self-describing content populating the SWEB ([2] Berners-Lee, 1999). This thesis assesses current SWEB technologies that promise to make disparate data sources machine interpretable for use in the construction of actionable knowledge with the intent of further reducing sensor-to-shooter times. The adoption of the SWEB will quietly be realized and soon machines will prove to be of greater value to war fighting. When machines are able to interpret and process content before human interaction and analysis begins, their value will be further realized. This off-loading, or delegation, will produce faster sensor-to-shooter times and assist in achieving the speed required to achieve victory on any battlefield.
Lieutenant, United States Navy
Major, United States Army
20
Chance, Samuel G. Hagenston Marty G. "Assessing the potential value of semantic Web technologies in support of military operations /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FChance.pdf.
Full textAbstract:
Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, September 2003.Thesis advisor(s): Alexander Bordetsky, Douglas P. Homer. Includes bibliographical references (p. 255-262). Also available online.
21
Hedayat, Roland. "Semantic Web Technologies in the Quest for Compatible Distributed Health Records." Thesis, Uppsala University, Department of Information Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122645.
Full textAbstract:
There is a proliferation of patient bound Electronic Health Record (EHR) data in systems that are incompatible - challenging the goal of granting authorized access to the accumulated medical history of a patient, whenever requested, and whichever the source, in order to secure a safe treatment.
A common semantic representation is a prerequisite for validating the semantics of one EHR system against another. Therefore, assessing the semantic compatibility between systems implies having a formal method for extracting their semantics, and for validating the consistency of their combined semantics. A guiding hypothesis is that Semantic Web Technologies and Ontology Web Language (OWL) are potential bridging technologies between the EHRs and medical terminologies, and can be used to represent the combined semantics of the systems to be integrated. Furthermore, that automatic reasoners can perform semantic validation of the combined subsystems.
Some experimental steps in this direction are taken, preceded by a discussion on Medical Terminologies, Ontologies, EHR-systems and theirinterrelationships, and a summary overview of Description Logics, the Semantic Web and the Web Ontology Language, OWL.
The OpenEHR reference model is transformed from an XML-schema representation to OWL, and a couple of archetypes are transformed into OWL in a manual procedure. Subsequently, validation runs with a formal reasoner on the transformed results were performed, demonstrating the feasibility of the process.
The problems of EHR semantic interoperability are complex. Awareness of the necessity of applying formal semantic methods when dealing with inherently semantic problems will catalyze the process of solving them.
22
Darr, Timothy, Ronald Fernandes, John Hamilton, Charles Jones, and Annette Weisenseel. "Semantic Web Technologies for T&E Metadata Verification and Validation." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606008.
Full textAbstract:
ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, NevadaThe vision of the semantic web is to unleash the next generation of information sharing and interoperability by encoding meaning into the symbols that are used to describe various computational capabilities within the World Wide Web or other networks. This paper describes the application of semantic web technologies to Test and Evaluation (T&E) metadata verification and validation. Verification is a quality process that is used to evaluate whether or not a product, service, or system complies with a regulation, specification, or conditions imposed at the start of a development phase or which exists in the organization. Validation is the process of establishing documented evidence that provides a high degree of assurance that a product, service, or system accomplishes its intended requirements. While this often involves acceptance and suitability with external customers, automation provides significant assistance to the customers.
23
Fathalla, Said [Verfasser]. "Towards Facilitating Scholarly Communication using Semantic Technologies / Said Mohamed Fathalla Abdelmaged." Bonn : Universitäts- und Landesbibliothek Bonn, 2021. http://d-nb.info/123552440X/34.
Full text
24
Sora, Radu. "Interest-based segmentation of online video platforms' viewers using semantic technologies." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/78157/.
Full textAbstract:
To better connect supply and demand for various products, marketers needed novel ways to segment and target their customers with relevant adverts. Over the last decade, companies that collected a large amount of psychographic and behavioural data about their customers emerged as the pioneers of hyper-targeting. For example, Google can infer people’s interests based on their search queries, Facebook based on their thoughts, and Amazon by analysing their shopping cart history. In this context, the traditional channel used for advertising – the media market – saw its revenues plummeting as it failed to infer viewers’ interests based on the programmes they are watching, and target them with bespoke adverts. In order to propose a methodology for inferring viewers’ interests, this study adopted an interdisciplinary approach by analysing the problem from the viewpoint of three disciplines: Customer Segmentation, Media Market, and Large Knowledge Bases. Critically assessing and integrating the disciplinary insights was required for a deep understanding of: the reasons for which psychographic variables like interests and values are a better predictor for consumer behaviour as opposed to demographic variables; the various types of data collection and analysis methods used in the media industry; as well as the state of the art in terms of detecting concepts from text and linking them to various ontologies for inferring interests. Building on these insights, a methodology was proposed that can fully automate the process of inferring viewers interests by semantically analysing the description of the programmes they watch, and correlating it with data about their viewing history. While the methodology was deemed valid from a theoretical point of view, an extensive empirical validation was also undertaken for a better understanding of its applicability. Programme metadata for 320 programmes from a large broadcaster was analysed together with the viewing history of over 50,000 people during a three-year period. The findings from the validation were eventually used to further refine the methodology and show that is it possible not only to infer individual viewers interests based on the programmes watched, but also to cluster the audience based on their content consumption habits and track the performance of various topics in terms of attracting new viewers. Having an effective way to infer viewers’ interests has various applications for the media market, most notably in the areas of better segmenting and targeting audiences, developing content that matches viewers’ interests, or improving existing recommendation engines.
25
Watugala, Sumudu Weerakoon. "Designing customizable end user applications using semantic technologies to improve information management." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37088.
Full textAbstract:
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2006."May 2006."
Includes bibliographical references (leaves 152-155).
Personalization capabilities in computer applications attempt to better meet the needs of individuals. The more traditional and widespread paradigm in application design is that the user should adapt to the available application. This requires that the individual user's task be sliced and molded to fit the dimensions offered by an inflexible, monolithic application. It is desirable to have an application that can be shaped to fit each individual user's dynamic needs. However, it is important that this is done in an intuitive and unobtrusive way. In this thesis, we design and evaluate a personalizable application developed to aid life science researchers in their work. We designed the application in Haystack, a platform for developing semantic applications and user interfaces. The application gave the user flexibility in personalizing the way in which information is organized and displayed, while giving users access to the tools necessary to perform their tasks. We selected researchers as the user group to focus on because of the inherent necessity in their work for originality and dynamic adaptation. Life sciences research was chosen as the domain due to its potential to benefit from the application of semantic technologies. We tested how users reacted and adapted to this application by conducting a formal user study.
by Sumudu Weerakoon Watugala.
M.Eng.
26
Dotsika, Fefie. "Semantic technologies : from niche to the mainstream of Web 3? : a comprehensive framework for web information modelling and semantic annotation." Thesis, University of Westminster, 2012. https://westminsterresearch.westminster.ac.uk/item/8z712/semantic-technologies-from-niche-to-the-mainstream-of-web-3-a-comprehensive-framework-for-web-information-modelling-and-semantic-annotation.
Full textAbstract:
Context: Web information technologies developed and applied in the last decade have considerably changed the way web applications operate and have revolutionised information management and knowledge discovery. Social technologies, user-generated classification schemes and formal semantics have a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, evaluate its efficiency, identify the challenges involved and propose a comprehensive framework for web information modelling and semantic annotation, which is the thesis’ original contribution to knowledge. The proposed framework assists web information modelling, facilitates semantic annotation and information retrieval, enables system interoperability and enhances information quality. Implications: Semantic technologies coupled with social media and end-user involvement can instigate innovative influence with wide organisational implications that can benefit a considerable range of industries. The scalable and sustainable business models of social computing and the collective intelligence of organisational social media can be resourcefully paired with internal research and knowledge from interoperable information repositories, back-end databases and legacy systems. Semantified information assets can free human resources so that they can be used to better serve business development, support innovation and increase productivity.
27
Karpovič, Jaroslav. "Semantinei paieškai naudojamos ontologijos generavimo pagal duomenų bazės schemą procesas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070118_111316-44846.
Full textAbstract:
Data storing semantic technologies separate it from applications code and gives availability for computers as well as people understand and share semantics in real time. These technologies also enable to add new data source or link between software applications as easy as to draw new link in the model. Unfortunately these technologies are yet not developed and popular as we could notice strong benefits of them in daily life. Introduction of semantic search system is an attempt to show the strong points of semantic technologies. Semantic search is more precise because of its opportunities to narrow handled domain down, it gives more exact result than usual, keyword based search. This advantage is clearly shown when database is very large and is filled with plenty of data. It also gives possibility to retrieve results from multiple distant data sources and form custom or predefined result sets as a central hub for some data domain. Automatic ontology generation based on database schema and metadata is suggested in this work. Such solution ensures that semantic search, which uses generated ontology, serves up-to-date search services even when structure of database is changed.
28
Farrenkopf, Thomas. "Applying semantic technologies to multi-agent models in the context of business simulations." Thesis, Edinburgh Napier University, 2017. http://researchrepository.napier.ac.uk/Output/1033149.
Full textAbstract:
Agent-based simulations are an effective simulation technique that can flexibly be applied to real-world business problems. By integrating such simulations into business games, they become a widely accepted educational instrument in the context of business training. Not only can they be used to train standard behaviour in training scenarios but they can also be used for open experimentation to discover structure in complex contexts (e.g. complex adaptive systems) and to verify behaviours that have been predicted on the basis of theoretical considerations. Traditional modelling techniques are built on mathematical models consisting of differential or difference equations (e.g. the well-known system dynamics approach). However, individual behaviour is not visible in these equations. This problem is addressed by using software agents to simulate individuals and to model their actions in response to external stimuli. To be effective, business training tools have to provide sufficiently realistic models of real-world aspects. Ideally, system effects on a macroscopic level are caused by behaviour of system components on a more microscopic level. For instance, in modelling market mechanisms market participants can explicitly be modelled as agents with individual behaviour and personal goals. Agents can communicate and act on the basis of what they know and which communication acts they perform. The evolution of the market then depends on the actions of the participants directly and not on abstract mathematical expressions. Generally, agent-based modelling is a challenging task, when modelling knowledge and behaviour. With the rise of the so-called semantic web ontologies have become popular, allowing the representation of knowledge using standardised formal languages which can be made available to agents acting in a simulation. However, the combination of agent-based systems with ontologies has not yet been researched sufficiently, because both concepts (web ontology languages and agent oriented programming languages) have been developed independently and the link has not yet been built adequately. Using ontologies as a knowledge base allows access to powerful standardised inference engines that offer leverage for the decision process of the agent. Agents can then determine their actions in accordance with this knowledge. To model agents using ontologies creates a new perspective for multi-agent simulation scenarios as programming details are reduced and a separation of modelling aspects from coding details is promising as business simulation scenarios can be set up with a reduced development effort. This thesis focuses on how ontologies can be integrated utilising the agent framework Jadex. A basic architecture with layered ontologies and its integration into the belief-desire-intention (BDI) agent model is presented. The abstract level of the approach guarantees applicability to different simulation scenarios which can be modelled by creating appropriate ontologies. Examples are based upon the simulation of market mechanisms within the context of different industries. The approach is implemented in the integrated simulation environment AGADE which incorporates agent-based and semantic technologies. Simulations for different scenarios that model typical market scenarios are presented.
29
Haller, Heiko [Verfasser], and R. [Akademischer Betreuer] Studer. "User Interfaces for Personal Knowledge Management with Semantic Technologies / Heiko Haller. Betreuer: R. Studer." Karlsruhe : KIT-Bibliothek, 2011. http://d-nb.info/1014280133/34.
Full text
30
Tönnies, Sascha [Verfasser], and Wolf-Tilo [Akademischer Betreuer] Balke. "Quality Control using Semantic Technologies in Digital Libraries / Sascha Tönnies ; Betreuer: Wolf-Tilo Balke." Braunschweig : Technische Universität Braunschweig, 2012. http://d-nb.info/1175823627/34.
Full text
31
Schönfisch, Jörg [Verfasser], and Heiner [Akademischer Betreuer] Stuckenschmidt. "Scalable integration of uncertainty reasoning and semantic web technologies / Jörg Schönfisch ; Betreuer: Heiner Stuckenschmidt." Mannheim : Universitätsbibliothek Mannheim, 2018. http://d-nb.info/1172205396/34.
Full text
32
Botla, Purushotham (Purushotham Shriramulu). "Designing personal assistant software for task management using semantic web technologies and knowledge databases." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90684.
Full textAbstract:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 100-102).
Adoption of social network sites and use of smart phones with number of sensors in them has digitized user's activities in real-time. Smart phone applications such as calendar, email, and notes contain lot of user information and provide a view into user's activities, while sensors such as GPS sensor can be used to passively find information about the user. In addition to this user and device data, these devices have access to the Internet that can be leveraged to build powerful applications. Personal assistant software (smart agent) can be used as an interface to the digital world to make the consumption of this information timely and efficient for the user's specific tasks. Goal of the thesis is to design personal assistant software that understands the semantics of the task, is able to decompose the task into multiple tasks within the context of the user and plan these tasks for the user. It will be designed using semantic web technologies and knowledge databases to understand the relations between the tasks. Agent will be integrated with online web-services to harvest the data available on-line with the data available on the device and help the user to manage his or her tasks. Two use cases are covered in this thesis document to explore automation capabilities and planning capabilities of the agent. Design of the agent using the two use cases helped in the design of sub-modules within the agent system, and also highlighted the requirements on external data and knowledge sources.
by Purushotham Botla.
S.M. in Engineering and Management
33
Pargianas, Michael. "Technologies for knowledge management : a case study of the Semantic Web in Rolls-Royce." Thesis, University of Southampton, 2004. https://eprints.soton.ac.uk/45934/.
Full textAbstract:
The Semantic Web (SW) represents the next wave in the evolution of the World Wide Web (WWW). It is a web of interlinked documents containing information that can be processed, understood and reasoned over by machines. The machine is the primary user in this Web. The aim of the Semantic Web is to turn the WWW from what can be described today as a gigantic web of pages, to a global database that will permit a more fine-grained access to the information that resides on the Web. Queries initiated by humans or machines retrieve the information of interest. In this thesis the application of concepts of the Semantic Web is being investigated in the context of product unit cost modelling in Rolls-Royce plc. Parametric cost modelling is one of the approaches used to cost estimation. Parametric models rely on statistical techniques that analyse usually historical data to produce regression equations. During this process numerous assumptions become embedded in the models. Understanding the underlying data and assumptions enables judgements to be made about the suitability and applicability of a given cost model to the task at hand and leads to an understanding of the model in question. Passing knowledge intensive artefacts such as cost models over organisational boundaries requires a shared understanding between providers and consumers, of what the model represents and under which circumstances it can be used. A shared understanding is reached when ambiguity regarding possible alternative interpretations is eliminated. Currently this is achieved by providing cost model documentation to the end users. It is hypothesised that the use of explicit vocabularies a.k.a. ontologies to describe the data used in cost models will enable the effective dissemination of costing knowledge within Rolls-Royce plc, from organisations that possess such expertise to the engineering functions that consume it. A corporate semantic web drawing on its inference capabilities can remove some of the documentation overhead expended by the costing organisations in support of the tasks of producing, validating, disseminating, auditing and maintaining these parametric cost models. Such a semantic web can provide designers with cost models in a manner that reflects the change in availability of design information as the design definition evolves from abstract to concrete. Information resources from the corporate intranet can be integrated with costing data to provide contextual information in support of the statistical analysis and validation stages.
34
Myers, Trina Sharlene. "Applying semantic technologies and artificial intelligence to eco-informatic modelling of coral reef systems." Thesis, James Cook University Queensland, 2009. https://researchonline.jcu.edu.au/14998/.
Full textAbstract:
A “data deluge” is overwhelming many areas of research. Massive amounts of scientific data are being produced that cannot be effectively processed. Remote environmental monitoring (including sensor networks) is being rapidly developed and adopted for collecting real-time data across widely distributed locations. As the volume of raw data increases, it is envisaged that bottlenecks will develop in the data analysis phase of research workflows, because data processing and synthesis procedures still generally involve manual manipulation. Despite the exponential growth in data and the consequential challenges in data management, current e-Research communities are exploring solutions to the “data deluge”. E-Research is the amalgamation of research techniques, data and people with Information Communication Technologies (ICT) to enhance research capabilities. Recent research efforts by the Semantic Web and Knowledge Representation (KR) domains focus on the development of automated data synthesis technologies. A key component in these solutions is the semantic technologies. Semantic technologies involve methods to add contextual information to data through ontologies so logic systems can be applied by the computer to enable automated inference. An ontology explicitly describes concepts in “computer-understandable” terms which allows for automated reasoning and intelligent decision-making by the machine. Automated data analysis and knowledge discovery is desirable because the manual manipulation of data processing and synthesis requires human intervention which will become increasingly more difficult to sustain as the data deluge grows. This dissertation introduces the Semantic Reef project which is an eco-informatics software architecture designed to alleviate data management problems within marine research. The intention was to develop an automated data processing, problem-solving and knowledge discovery system within the scope of e-Research, which will assist in developing our understanding and management of coral reef ecosystems.The Semantic Reef project employs e-Research approaches including semantic technologies and scientific workflows, which together create a platform designed to evaluate complex hypothesis queries and/or provide alerting for unusual events (e.g., coral spawning or bleaching). The Semantic Reef project was built as a KR platform, so researchers can combine disjoint data from different sources into a single Knowledge Base (KB) to pose questions of the data. Scientific workflows access and retrieve remote sensor data and/or data available via the Web to populate the KB. The KB consists of a hierarchy of reusable and usable ontologies that together generically model a coral reef ecosystem in a “computer-understandable” form. The ontologies range from informal through to formal and, when coupled to datasets, derive inferences from data to “ask” the KB questions for semantic correlation, synthesis and analysis. The ontology design leverages the scalable and autonomic characteristics of semantic technologies such as modularity, reuse and the ability to link latent connections in data through complex logic systems. The overall goal of the Semantic Reef project was to enable marine researchers to pose hypotheses about environmental data gathered from in situ observations, and to explore phenomena such as climate change effects on an ecosystem rather than on one component at a time. Currently, in marine research, there has been an explosive increase in the number of questions posed about climate change effects; for example, questions about the origins of phenomena such as coral bleaching on coral reef ecosystems. To be answered, these questions need to be able to assess the cumulative combination of ecological factors and stressors that contribute to the tipping point from a healthy coral to stressed coral due to coral bleaching. The marine biology domain has an urgent need for more efficient investigation of the disparate data streams and data sourc s. The Semantic Reef project, which incorporates the new hypothesis-driven research tools and problem-solving methods, is designed as a proof of concept to resolve this need. The Semantic Reef system has the capacity to pose hypotheses and automate inferences of the available data. The system’s design supports flexibility in theoretic hypothesis design because the researcher is not required to predetermine the exact hypothesis prior to gathering data for import to the KB. Rather, the questions can be as flexible as the researcher requires, and they may evolve as new data becomes available or as ideas grow and/or epiphanies emerge. Then, once phenomena in the data are disclosed through semantic inference, in situ observations can be performed to confirm or negate the theory. The Semantic Reef tool offers marine researchers this flexibility in hypothesis modelling to theorise about a range of scientific conundrums such as the cumulative causal factors that contribute to coral bleaching. This study is the first known example of Semantic Web technologies and scientific workflows combined to integrate data, with the purpose of posing observational hypotheses or inferring alerts in the coral reef domain. As a proof of concept, the Semantic Reef system offers a different approach to the development and execution of observational hypotheses on coral reefs. The system offers adaptability when applying hypotheses and questions of data, specifically in scenarios where the hypothesis is not apparent prior to data collection efforts. The Semantic Reef system cannot overcome the data deluge, but it offers a unique approach to the discovery of new phenomena that, through automation, can alleviate the problems associated with the data analysis phase.
35
Caires, Bruno José de Sales Caires. "Transparent access to relational, autonomous and distributed databases using semantic web and service oriented technologies." Master's thesis, Universidade da Madeira, 2007. http://hdl.handle.net/10400.13/128.
Full textAbstract:
With the constant grow of enterprises and the need to share information across
departments and business areas becomes more critical, companies are turning to
integration to provide a method for interconnecting heterogeneous, distributed and autonomous systems. Whether the sales application needs to interface with the
inventory application, the procurement application connect to an auction site, it seems that any application can be made better by integrating it with other applications.
Integration between applications can face several troublesome due the fact that
applications may not have been designed and implemented having integration in
mind. Regarding to integration issues, two tier software systems, composed by the
database tier and by the “front-end” tier (interface), have shown some limitations. As
a solution to overcome the two tier limitations, three tier systems were proposed in the literature. Thus, by adding a middle-tier (referred as middleware) between the database tier and the “front-end” tier (or simply referred application), three main benefits emerge. The first benefit is related with the fact that the division of software systems in three tiers enables increased integration capabilities with other systems.
The second benefit is related with the fact that any modifications to the individual
tiers may be carried out without necessarily affecting the other tiers and integrated
systems and the third benefit, consequence of the others, is related with less
maintenance tasks in software system and in all integrated systems.
Concerning software development in three tiers, this dissertation focus on two
emerging technologies, Semantic Web and Service Oriented Architecture, combined
with middleware. These two technologies blended with middleware, which resulted
in the development of Swoat framework (Service and Semantic Web Oriented
ArchiTecture), lead to the following four synergic advantages: (1) allow the creation of loosely-coupled systems, decoupling the database from “front-end” tiers, therefore
reducing maintenance; (2) the database schema is transparent to “front-end” tiers
which are aware of the information model (or domain model) that describes what
data is accessible; (3) integration with other heterogeneous systems is allowed by
providing services provided by the middleware; (4) the service request by the “frontend” tier focus on ‘what’ data and not on ‘where’ and ‘how’ related issues, reducing this way the application development time by developers.Supervisor: António Jorge Silva Cardoso
36
Ramzan, Asia. "Knowledge engineering with semantic web technologies for decision support systems based on psychological models of expertise." Thesis, Aston University, 2016. http://publications.aston.ac.uk/30081/.
Full textAbstract:
Machines that provide decision support have traditionally used either a representation of human expertise or used mathematical algorithms. Each approach has its own limitations. This study helps to combine both types of decision support system for a single system. However, the focus is on how the machines can formalise and manipulate the human representation of expertise rather than on data processing or machine learning algorithms. It will be based on a system that represents human expertise in a psychological format. The particular decision support system for testing the approach is based on a psychological model of classification that is called the Galatean model of classification. The simple classification problems only require one XML structure to represent each class and the objects to be assigned to it. However, when the classification system is implemented as a decision support system within more complex realworld domains, there may be many variations of the class specification for different types of object to be assigned to the class in different circumstances and by different types of user making the classification decision. All these XML structures will be related to each other in formal ways, based on the original class specification, but managing their relationships and evolution becomes very difficult when the specifications for the XML variants are text-based documents. For dealing with these complexities a knowledge representation needs to be in a format that can be easily understood by human users as well as supporting ongoing knowledge engineering, including evolution and consistency of knowledge. The aim is to explore how semantic web technologies can be employed to help the knowledge engineering process for decision support systems based on human expertise, but deployed in complex domains with variable circumstances. The research evaluated OWL as a suitable vehicle for representing psychological expertise. The task was to see how well it can provide a machine formalism for the knowledge without losing its psychological validity or transparency: that is, the ability of end users to understand the knowledge representation intuitively despite its OWL format. The OWL Galatea model is designed in this study to help in automatic knowledge maintenance, reducing the replication of knowledge with variant uncertainties and support in knowledge engineering processes. The OWL-based approaches used in this model also aid in the adaptive knowledge management. An adaptive assessment questionnaire is an example of it, which is dynamically derived using the users age as the seed for creating the alternative questionnaires. The credibility of the OWL Galatea model is tested by applying it on two extremely different assessment domains (i.e. GRiST and ADVANCE). The conclusions are that OWLbased specifications provide the complementary structures for managing complex knowledge based on human expertise without impeding the end users’ understanding of the knowledgebase. The generic classification model is applicable to many domains and the accompanying OWL specification facilitates its implementations.
37
Wagner, Anna [Verfasser]. "Linked Product Data : Describing Multi-Functional and Parametric Building Products using Semantic Web Technologies / Anna Wagner." Düren : Shaker, 2020. http://d-nb.info/1211931110/34.
Full text
38
Svensson, Terese. "Semantic Segmentation of Iron Ore Pellets with Neural Networks." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74352.
Full textAbstract:
This master’s thesis evaluates five existing Convolutional Neural Network (CNN) models for semantic segmentation of optical microscopy images of iron ore pellets. The models are PSPNet, FC-DenseNet, DeepLabv3+, BiSeNet and GCN. The dataset used for training and evaluation contains 180 microscopy images of iron ore pellets collected from LKAB’s experimental blast furnace in Luleå, Sweden. This thesis also investigates the impact of the dataset size and data augmentation on performance. The best performing CNN model on the task was PSPNet, which had an average accuracy of 91.7% on the dataset. Simple data augmentation techniques, horizontal and vertical flipping, improved the models’ average accuracy performance with 3.4% on average. From the results in this thesis, it was concluded that there are benefits to using CNNs for analysis of iron ore pellets, with time-saving and improved analysis as the two notable areas.
39
Japala, Pradeep. "A Study Of Travel Agent System in Mobile Devices Using Travel Agent System and Semantic Web Technologies." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1129.
Full textAbstract:
The thesis work intends to provide the cost implementation method for the travel products from the travel agency to the mobile devices. Mobile devices are now capable of accessing the internet services as their considerable advancements are achieved in the wireless devices. The mobile devices are capable of searching through the web content for extracting the required data. But as the search engines face the problems due to their searching strategies such as keyword based search, semantic web has come into picture. This thesis work explains how semantic web technologies are integrated in the mobile devices for getting the desired products for optimal price. Semantic web is the suitable for the travel agent system as there is exchange of information. The data from the mobile devices is carried through the agents between the travel agency and the devices. This work intends to provide how the semantic web and the multi-agent systems are helpful for searching the desired products of the user (using mobile devices). The agents in the multi-agent system communicate with each other in the travel agent system through the ontologies which are written in the OWL ontology language
40
Schönteich, Falko [Verfasser], Ansgar [Akademischer Betreuer] Scherp, and Peer [Gutachter] Kröger. "Secure Distributed Information Management Based on Semantic Web Technologies / Falko Schönteich ; Gutachter: Peer Kröger ; Betreuer: Ansgar Scherp." Kiel : Universitätsbibliothek Kiel, 2021. http://d-nb.info/124153778X/34.
Full text
41
Rosina, Peter Christian [Verfasser], and Bernhard [Akademischer Betreuer] Bauer. "Semantic Web Technologies for Method Management: Model, Methodology and Enterprise Architecture Integration / Peter Christian Rosina. Betreuer: Bernhard Bauer." Augsburg : Universität Augsburg, 2016. http://d-nb.info/1094518042/34.
Full text
42
Tous, Ruben. "Data integration with XML and semantic web technologies novel approaches in the design of modern data integration systems." Saarbrücken VDM Verlag Dr. Müller, 2006. http://d-nb.info/991303105/04.
Full text
43
Szilagyi, Ioan. "Technologies sémantiques pour un système actif d’apprentissage." Thesis, Besançon, 2014. http://www.theses.fr/2014BESA1008/document.
Full textAbstract:
Les méthodes d’apprentissage évoluent et aux modèles classiques d’enseignement viennent s’ajouter de nouveaux paradigmes, dont les systèmes d’information et de communication, notamment le Web, sont une partie essentielle. Afin améliorer la capacité de traitement de l’information de ces systèmes, le Web sémantique définit un modèle de description de ressources (Resource Description Framework – RDF), ainsi qu’un langage pour la définition d’ontologies (Web Ontology Language – OWL). Partant des concepts, des méthodes, des théories d’apprentissage, en suivant une approche systémique, nous avons utilisé les technologies du Web sémantique pour réaliser une plateforme d’apprentissage capable d’enrichir et de personnaliser l’expérience de l’apprenant. Les résultats de nos travaux sont concrétisés dans la proposition d’un prototype pour un Système Actif et Sémantique d’Apprentissage (SASA). Suite à l’identification et la modélisation des entités participant à l’apprentissage, nous avons construit six ontologies, englobant les caractéristiques de ces entités. Elles sont les suivantes : (1) ontologie de l’apprenant, (2) ontologie de l’objet pédagogique, (3) ontologie de l’objectif d’apprentissage, (4) ontologie de l’objet d’évaluation, (5) ontologie de l’objet d’annotation et (6) ontologie du cadre d’enseignement. L’intégration des règles au niveau des ontologies déclarées, cumulée avec les capacités de raisonnement des moteurs d’inférences incorporés au niveau du noyau sémantique du SASA, permettent l’adaptation du contenu d’apprentissage aux particularités des apprenants. L’utilisation des technologies sémantiques facilite l’identification des ressources d’apprentissage existant sur le Web ainsi que l’interprétation et l’agrégation de ces ressources dans le cadre du SASALearning methods keep evolving and new paradigms are added to traditional teaching models where the information and communication systems, particularly the Web, are an essential part. In order to improve the processing capacity of information systems, the Semantic Web defines a model for describing resources (Resource Description Framework - RDF), and a language for defining ontologies (Web Ontology Language – OWL). Based on concepts, methods, learning theories, and following a systemic approach, we have used Semantic Web technologies in order to provide a learning system that is able to enrich and personalize the experience of the learner. As a result of our work we are proposing a prototype for an Active Semantic Learning System (SASA). Following the identification and modeling of entities involved in the learning process, we created the following six ontologies that summarize the characteristics of these entities: (1) learner ontology, (2) learning object ontology, (3) learning objective ontology, (4) evaluation object ontology, (5) annotation object ontology and (6) learning framework ontology. Integrating certain rules in the declared ontologies combined with reasoning capacities of the inference engines embedded in the kernel of the SASA, allow the adaptation of learning content to the characteristics of learners. The use of semantic technologies facilitates the identification of existing learning resources on the web as well as the interpretation and aggregation of these resources within the context of SASA
44
Hengchen, Simon. "When Does it Mean? Detecting Semantic Change in Historical Texts." Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/261377.
Full textAbstract:
Contrary to what has been done to date in the hybrid field of natural language processing (NLP), this doctoral thesis holds that the new approach developed below makes it possible to semi-automatically detect semantic changes in digitised, OCRed, historical corpora. We define the term semi-automatic as “making use of an advanced tool whilst remaining in control of key decisions regarding the processing of the corpus”. If the tool utilised – “topic modelling”, and more precisely the “Latent Dirichlet Allocation” (LDA) – is not unknown in NLP or computational historical semantics, where it is already mobilised to follow a priori selected words and try to detect when these words change meaning, it has never been used, to the best of our knowledge, to detect which words change in a humanistically-relevant way. In other terms, our method does not study a word in context to gather information on this specific word, but the whole context – which we consider a witness to a potential evolution of reality – to gather more contextual information on one or several particular semantic shift candidates. In order to detect these semantic changes, we use the algorithm to create lexical fields: groups of words that together define a subject to which they all relate. By comparing lexical fields over different time periods of the same corpus (that is, by mobilising a diachronic approach), we try to determine whether words appear over time. We support that if a word starts to be used in a certain context at a certain time, it is a likely candidate for semantic change. Of course, the method developed here and illustrated by a case study applies to a certain context: that of digitised, OCRed, historical archives in Dutch. Nevertheless, this doctoral work also describes the advantages and disadvantages of the algorithm and postulates, on the basis of this evaluation, that the method is applicable to other fields, under other conditions. By carrying out a critical evaluation of the tools available and used, this doctoral thesis invites the community to the reproducibility of the method, whilst pointing out obvious limitations of the approach and propositions on how to solve them.Doctorat en Information et communication
info:eu-repo/semantics/nonPublished
45
Karpowitz, Daniel J. "A Dynamic Workflow Framework for Mass Customization Using Web Service and Autonomous Agent Technologies." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1647.pdf.
Full text
46
Martínez-García, Agustina. "Development of self-archiving tools to support archiving, analysis and re-use of qualitative data." Thesis, Liverpool John Moores University, 2013. http://researchonline.ljmu.ac.uk/4486/.
Full textAbstract:
The potential to share and re-use qualitative archived data has garnered much interest in recent years. This increased attention can be attributed mainly to advances in both data documentation standards and digital archiving technologies, which provide users with the ability to archive, share and disseminate qualitative research materials. However, there remain theoretical and epistemological barriers to and implications for the sharing and re-use of qualitative study data. One way to address these issues is by studying research practices (with practitioners’ active involvement), in combination with developing software tools that support digital archiving of qualitative studies. Semantic technologies, combined with metadata standards and documentation schemas have the potential to enhance qualitative data documentation, archiving and analysis. In fact, it has been established that data documentation is one of the key elements that enables data archiving. The use of appropriate standard documentation frameworks is crucial to data archives’ exposure and has a direct impact on the discoverability, search and retrieval of archived data. The technological aspect of this study has been the development of a self-archiving toolkit that makes use of such technologies. The purpose of this work was to allow users, with varying levels of research experience (e.g. from undergraduate student researchers up to more experienced senior researchers) to avail of the benefits offered by qualitative digital archiving. To complement the technological developments undertaken, the present study also explored the practices of different researchers: undergraduate student researchers, researchers involved in teaching research-oriented modules, as well as senior researchers. This exploration focused on the collection, organisation, analysis and presentation of qualitative data and how these relate to and can be supported by digital archiving to enable researchers to organise, disseminate, and visualise research collections.
47
Keppmann, Felix Leif [Verfasser], and R. [Akademischer Betreuer] Studer. "Decentralized Control and Adaptation in Distributed Applications via Web and Semantic Web Technologies / Felix Leif Keppmann ; Betreuer: R. Studer." Karlsruhe : KIT Scientific Publishing, 2020. http://d-nb.info/1207470260/34.
Full text
48
Paulsson, Fredrik. "Modularization of the Learning Architecture : Supporting Learning Theories by Learning Technologies." Doctoral thesis, Stockholm : Datavetenskap och kommunikation, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4712.
Full text
49
Berndl, Emanuel [Verfasser], and Harald [Akademischer Betreuer] Kosch. "Embedding a Multimedia Metadata Model into a Workflow-driven Environment Using Idiomatic Semantic Web Technologies / Emanuel Berndl ; Betreuer: Harald Kosch." Passau : Universität Passau, 2019. http://d-nb.info/1192512022/34.
Full text
50
Aras, Hidir [Verfasser], Rainer [Akademischer Betreuer] Malaka, Rainer [Gutachter] Malaka, and Iryna [Gutachter] Gurevych. "Semantic Interaction in Web-based Retrieval Systems : Adopting Semantic Web Technologies and Social Networking Paradigms for Interacting with Semi-structured Web Data / Hidir Aras ; Gutachter: Rainer Malaka, Iryna Gurevych ; Betreuer: Rainer Malaka." Bremen : Staats- und Universitätsbibliothek Bremen, 2017. http://d-nb.info/1151636428/34.
Full text