Academic literature on the topic 'Semantic web technologies'

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Journal articles on the topic "Semantic web technologies"

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Ferguson, Jon C. "Semantic Web Technologies." Journal of Electronic Resources in Medical Libraries 4, no. 1-2 (March 15, 2007): 113–25. http://dx.doi.org/10.1300/j383v04n01_11.

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El Guemhioui, Karim, and Steven A. Demurjian. "Semantic Reconciliation of Electronic Health Records Using Semantic Web Technologies." International Journal of Information Technology and Web Engineering 12, no. 2 (April 2017): 26–48. http://dx.doi.org/10.4018/ijitwe.2017040102.

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In this paper, the authors present an approach to reconcile the semantics of distinct medical terms found in personal health records (PHRs - that store data controlled by patients) and electronic medical records (EMRs - that store data controlled by providers) that are utilized to describe the same concept in different systems. The authors present a solution for semantic reconciliation based on RDF and related semantic web technologies. As part of the solution, the authors utilize a centralized repository of ontologies to: uniformly interrogate the medical coding systems in which those terms are defined, extract all of their published synonyms, and save the results as RDF triples. The final step in the process is to employ a reasoner to infer non-explicit synonymy among those terms, hence evidencing the underlying semantics to the PHR and EMR systems for possible further processing.
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Visser, Ubbo. "Semantic Web Reloaded: An Update on the Progress of Semantic Web technologies." KI - Künstliche Intelligenz 30, no. 2 (April 4, 2016): 109–12. http://dx.doi.org/10.1007/s13218-016-0433-0.

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Wiegand, Nancy, Dave Kolas, and Gary Berg-Cross. "Intersecting Semantic Web and Geospatial Technologies." Transactions in GIS 14, no. 2 (April 2010): 93–95. http://dx.doi.org/10.1111/j.1467-9671.2010.01184.x.

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Carmichael, P., and M. Tscholl. "Cases, simulacra, and Semantic Web technologies." Journal of Computer Assisted Learning 29, no. 1 (November 15, 2011): 31–42. http://dx.doi.org/10.1111/j.1365-2729.2011.00459.x.

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Sure, York, and Rudi Studer. "Semantic Web technologies for digital libraries." Library Management 26, no. 4/5 (May 2005): 190–95. http://dx.doi.org/10.1108/01435120510596044.

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Janev, Valentina, and Sanja Vraneš. "Applicability assessment of Semantic Web technologies." Information Processing & Management 47, no. 4 (July 2011): 507–17. http://dx.doi.org/10.1016/j.ipm.2010.11.002.

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Janev, Valentina, and Sanja Vranes. "Semantic Web Technologies: Ready for Adoption?" IT Professional 11, no. 5 (September 2009): 8–16. http://dx.doi.org/10.1109/mitp.2009.107.

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Ludwig, Lars, and David O'Sullivan. "Deploying Decision Support Systems Using Semantic Web Technologies." International Journal of Decision Support System Technology 2, no. 1 (January 2010): 49–59. http://dx.doi.org/10.4018/jdsst.2010101604.

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Decision support systems are deployed in a wide variety of business applications using a variety of core technologies and programming languages. One of the more promising technologies to evolve in recent year has been the semantic web. The semantic web aims to create more intelligent and machine readable web pages and online applications. The technologies, programming languages and methods of the semantic web are now maturing and standards have emerged that allow semantic web technology to be deployed broadly across information technology industry and the programming community in particular. This paper outlines a set of requirements for programmers considering the development of decision support systems using semantic web technology. Current strategies across the research community are surveyed that deploy semantic web applications. From the discussion of these strategies, ten basic requirements are derived. These requirements combine technological, psychological and philosophical research ideas. By crossing traditional research boundaries, a broad perspective on deploying decision support systems that utilize semantic web technologies is created.
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Zhang Wenyu, Yin Jianwei, Cai Ming, Wu Jian, and Lin Lanfen. "Manufacturing Deep Web Service Management: Exploring Semantic Web Technologies." IEEE Industrial Electronics Magazine 6, no. 2 (June 2012): 38–51. http://dx.doi.org/10.1109/mie.2012.2193293.

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Dissertations / Theses on the topic "Semantic web technologies"

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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.

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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

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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.

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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.
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Tous, Liesa Rubén. "Data Integration with XML and Semantic Web Technologies." Doctoral thesis, Universitat Pompeu Fabra, 2006. http://hdl.handle.net/10803/7535.

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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.
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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.

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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.
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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.

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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.
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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.

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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.

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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.
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RAZZAK, FAISAL. "The Role of Semantic Web Technologies in Smart Environments." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506366.

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Today semantic web technologies and Linked Data principles are providing formalism, standards, shared data semantics and data integration for unstructured data over the web. The result is a transformation from theWeb of Interaction to theWeb of Data and actionable information. On the crossroad lies our daily lives, containing plethora of unstructured data which is originating from low cost sensors and appliances to every computational element used in our modern lives, including computers, interactive watches, mobile phones, GPS devices etc. These facts accentuate an opportunity for system designers to combine these islands of data into a large actionable information space which can be utilized by automated and intelligent agents. As a result, this phenomenon is likely to institute a space that is smart enough to provide humans with comfort of living and to build an efficient society. Thus, in this context, the focus of my research has been to propose solutions to the problems in the domains of smart environment and energy management, under the umbrella of ambient intelligence. The potential role of semantic web technologies in these proposed solutions has been analysed and architectures for these solutions were designed, implemented and tested.
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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.

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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.
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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.

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Approved for public release; distribution is unlimited
Recent 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
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Books on the topic "Semantic web technologies"

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Patel, Archana, Narayan C. Debnath, and Bharat Bhushan. Semantic Web Technologies. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003309420.

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Davies, John, Rudi Studer, and Paul Warren, eds. Semantic Web Technologies. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.

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Hendler, James A., John Domingue, and Dieter Fensel. Handbook of semantic web technologies. Heidelberg: Springer, 2011.

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Hitzler, Pascal. Foundations of Semantic Web technologies. Boca Raton, Fla: Chapman & Hall/CRC Press, 2009.

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Markus, Krötzsch, and Rudolph Sebastian Dr, eds. Foundations of Semantic Web technologies. Boca Raton: CRC Press, 2010.

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Du, Weichang, and Faezeh Ensan. Canadian semantic web: Technologies and applications. New York: Springer, 2010.

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Mizoguchi, Riichiro, Darina Dicheva, and Jim E. Greer. Semantic Web technologies for e-learning. Amsterdam: Ios Press, 2009.

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Badr, Youakim, Richard Chbeir, Ajith Abraham, and Aboul-Ella Hassanien, eds. Emergent Web Intelligence: Advanced Semantic Technologies. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-077-9.

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Davies, J. Semantic Web technologies: Trends and research in ontology-based systems. Hoboken, N.J: John Wiley & Sons, 2006.

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Vitvar, Tomás̆. Semantic technologies for E-government. New York: Springer, 2010.

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Book chapters on the topic "Semantic web technologies"

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Ebietomere, Esingbemi P., and Godspower O. Ekuobase. "Semantic Web Technologies." In Semantic Web Technologies, 1–24. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003309420-1.

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DeBellis, Michael. "Semantic Web Technologies." In Semantic Web Technologies, 43–72. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003309420-3.

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Prasad, Jayashree R., Priya M. Shelke, and Rajesh S. Prasad. "Semantic Web Technologies." In Semantic IoT: Theory and Applications, 35–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64619-6_2.

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Chandrashekar, D. V., Syed Md Fazal, Y. Suresh Babu, and A. V. Senthil Kumar. "Semantic Web Technologies." In Data Science with Semantic Technologies, 195–225. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003310785-10.

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Bontcheva, Kalina, John Davies, Alistair Duke, Tim Glover, Nick Kings, and Ian Thurlow. "Semantic Information Access." In Semantic Web Technologies, 139–69. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch8.

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Warren, Paul, Rudi Studer, and John Davies. "Introduction." In Semantic Web Technologies, 1–8. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch1.

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Roman, Dumitru, Jos de Bruijn, Adrian Mocan, Ioan Toma, Holger Lausen, Jacek Kopecky, Christoph Bussler, et al. "Semantic Web Services - Approaches and Perspectives." In Semantic Web Technologies, 191–236. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch10.

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Warren, Paul, Ian Thurlow, and David Alsmeyer. "Applying Semantic Technology to a Digital Library." In Semantic Web Technologies, 237–57. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch11.

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Casanovas, Pompeu, Núria Casellas, Joan-Josep Vallbé, Marta Poblet, V. Richard Benjamins, Mercedes Blázquez, Raúl Peña, and Jesús Contreras. "Semantic Web: A Legal Case Study." In Semantic Web Technologies, 259–80. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch12.

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Duke, Alistair, and Marc Richardson. "A Semantic Service-Oriented Architecture for the Telecommunications Industry." In Semantic Web Technologies, 281–99. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch13.

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Conference papers on the topic "Semantic web technologies"

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Kim, Hak, Hong Kim, and Stefan Decker. "Semantic Documentation Using Semantic Web Technologies and Social Web Services." In International Conference on Next Generation Web Services Practices. IEEE, 2006. http://dx.doi.org/10.1109/nwesp.2006.28.

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Armstrong, Timothy J. "Enhancing Object-Oriented Technologies with Semantic Web Technologies." In SIGMOD/PODS'14: International Conference on Management of Data. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2630602.2630608.

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Vanlande, Renaud, and Christophe Nicolle. "Semantic web technologies for facilities management." In 2007 2nd International Conference on Digital Information Management. IEEE, 2007. http://dx.doi.org/10.1109/icdim.2007.4444244.

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"SEMANTIC WEB BROWSING." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001276204000403.

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Dibowski, Henrik, and Klaus Kabitzsch. "Semantic device descriptions based on standard Semantic Web technologies." In 2008 IEEE International Workshop on Factory Communication Systems - (WFCS 2008). IEEE, 2008. http://dx.doi.org/10.1109/wfcs.2008.4638720.

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Gerber, Daniel, Marvin Frommhold, Michael Martin, Sebastian Tramp, and Sören Auer. "Learning semantic web technologies with the web-based SPARQLTrainer." In the 6th International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1839707.1839740.

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Holzinger, Wolfgang, Bernhard Kruepl, and Robert Baumgartner. "Exploiting semantic web technologies to model web form interactions." In Proceeding of the 17th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1367497.1367698.

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Saeed, Abdullah, Namrata Dhanda, Ansh Samuel Rao, and Rajat Verma. "AI-Enabled Semantic Web." In 2024 2nd International Conference on Disruptive Technologies (ICDT). IEEE, 2024. http://dx.doi.org/10.1109/icdt61202.2024.10489028.

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Li Kuang, Jian Wu, Shuiguang Deng, Ying Li, Wei Shi, and Zhaohui Wu. "Exploring semantic technologies in service matchmaking." In Third European Conference on Web Services (ECOWS'05). IEEE, 2005. http://dx.doi.org/10.1109/ecows.2005.14.

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Jirkovsky, Vojtech, and Ivan Jelinek. "Using semantic web technologies for information adaptation." In the 9th International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1500879.1500967.

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Reports on the topic "Semantic web technologies"

1

Sadeh, Norman M. Semantic Web Technologies for Mobile Context-Aware Services. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada449095.

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2

Sabbouh, Marwan, and Joseph K. DeRosa. Using Semantic Web Technologies to Integrate the Enterprise. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada456353.

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Gandon, Fabien L., and Norman M. Sadeh. Semantic Web Technologies to Reconcile Privacy and Context Awareness. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada461135.

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4

Davis, Duane. Semantic Web and Inferencing Technologies for Department of Defense Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada613906.

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Tabinskyy, Yaroslav. VISUAL CONCEPTS OF PHOTO IN THE MEDIA (ON THE EXAMPLE OF «UKRAINER» AND «REPORTERS»). Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11099.

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Abstract:
The article is devoted to the analysis of the main forms of visualization in the media related to photo. The thematic visual concepts are described in accordance with the content of electronic media, which consider the impact of modern technologies on the development of media space. The researches of the Ukrainian and foreign educational institutions concerning the main features of modern photo is classificate. Modifications and new visual forms in the media are singled out. The main objective of the article is to study the visual concepts of modern photo and identify ideological and thematic priorities in photo projects. To achieve the main objective in the article a certain methodology were used. Due to the historical-theoretical description it was possible to substantiate the study of visual concepts. The conceptual-system method was used to study the subject of media photo projects. The main results of the research are the definition of visual concepts of photo on the example of electronic media and the identification of the main thematic features in the process of visual filling of the media space. Based on the study, we can conclude that today the information field needs quality visual content. For successful creation of visual concepts it is necessary to single out thematic features of modern photo and to carry out classifications on ideological and semantic signs. Given the rapid development of digital technologies, the topic of the scientific article we offer is relevant for scientists, journalists, media researchers, visual journalism experts and photojournalists. Modern space is filled with a large number of pictorial materials, which in most cases form specific images, patterns or stereotypes in the mind of the reader (viewer). Also important is the classification of photo used in journalistic publications. That is why there is a need to explore the content and principles of distribution of ideological priorities of photo in the media. The substantiation of scientists about the important place of photography in the modern media space and the future development of visual technologies, which already use artificial intelligence, is relevant.
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