Academic literature on the topic 'OWL-Ontology Web Language'

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Journal articles on the topic "OWL-Ontology Web Language"

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Saha, Goutam Kumar. "Web ontology language (OWL) and semantic web." Ubiquity 2007, September (September 2007): 1. http://dx.doi.org/10.1145/1295289.1295290.

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Yang, Yuan. "Discussion on the Software Engineering Data Modeling in OWL." Applied Mechanics and Materials 416-417 (September 2013): 1512–15. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1512.

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Web ontology language, which is discussed usually by people, is abbreviated as OWL. Actually, it specifically refers to the computer Web ontology language, namely a type of computer machine language. OWL is one of the very important components composing semantic Web technology. It is an ontology language that is recently offered by W3C especially for Web language, and its ontology working group makes a description to OWL through a series of documents. OWL is applicable to the description and modeling on the semantic aspects of complex data, and it can establish a flexible semantic model when a lot of complicated structures and rich semantic data are often derived in the development process of software system. All software engineering data systems are managed in modes. OWL, as an ontology language, has been widely valued in the IT industry. However, the development of OWL has been seriously restricted because it is difficult to understand.
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Li, Wei Jun. "Reverse Engineering OWL 2 Ontologies to UML Models." Applied Mechanics and Materials 644-650 (September 2014): 3133–36. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3133.

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The OWL 2 Web Ontology Language is an ontology language for the Semantic Web with formally defined meaning and widely used in knowledge representation. The Unified Modeling Language (UML) can be applied for many of software, knowledge engineering and data modeling. For the sake of reusing the OWL 2 ontologies, we propose a reverse engineering approach of constructing UML models from OWL 2 ontologies. In this paper, we propose formalized definitions of OWL 2 ontologies and UML models, and then propose an approach of formally mapping OWL 2 ontologies to UML models.
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Liu, Chih Hao, and Jason Jen Yen Chen. "Dynamic, Customized Workflow Using BDI Agent and Semantic Web Service." Applied Mechanics and Materials 135-136 (October 2011): 477–83. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.477.

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As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.
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Pan, Wen Lin. "A Formal EXPRESS-to-OWL Mapping Algorithm." Key Engineering Materials 419-420 (October 2009): 689–92. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.689.

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Network-based collaborative product development has become a trend in manufacturing industry, which depends on two key information technology: the Semantic Web and the standard for the exchange of product model data (STEP). EXPRESS is the STEP product data modeling language, and OWL is the standard ontology representing language used in the Semantic Web. Only when the EXPRESS models are converted to OWL models, product information can be exchanged at the Web. The ontology meta-modeling theory was employed to analysis the ontology definition metamodel of EXPRESS and OWL, in order to build up the mapping relationship between them. A formal EXPRESS-to-OWL mapping algorithm is then proposed, represented by abstract syntax.
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Wang, Gang, Jie Lin, Qing Qi Long, and Zhi Juan Hu. "OWL-Based Description for Agent." Advanced Materials Research 217-218 (March 2011): 1218–23. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1218.

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This paper presents a detailed formal specification of agents and their properties and abilities,based on the Web Ontology Language (OWL). It allows an agent to be specified entirely using standard mark-up languages from the Semantic Web community, namely RDF, RDF Schemaand OWL. The basic agent components are identified and their implementation using ontology development tools is described.The description improves consistency, interoperability and maintainability of agent program. Therefore,the design errors in the early development stages could be efficiently detected and avoided.
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Song, Lan, Li Xia Lei, Hong Wang, and Jun Hong Hua. "Research on Ontology-Based Semantic Reasoning." Advanced Materials Research 171-172 (December 2010): 136–39. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.136.

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As a new emerging web, semantic web, has recently drawn considerable attention from both academic and industry field. Nowadays, RDF, RDF Schema, OWL etc. have become commonly used languages in the Semantic Web. This paper describes the ontology language and description logic, shows the relationship of them, and finally presents a reasoning path for transitive closure in an ontology document.
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Jiang, Li Ping. "Designing Family Ontology with the Protégé OWL Plugin." Advanced Materials Research 532-533 (June 2012): 836–40. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.836.

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The growing interest in the Semantic Web and the Web Ontology Language (OWL) will reveal the potential of Description Logics in industrial projects. The rich semantics of OWL provide powerful reasoning capabilities that help build, maintain and query domain models for many purposes. However, before OWL can unfold its full potential, user-friendly tools with a scalable architecture are required. In this paper, we design and edit the family ontology using Protégé OWL Plugin, which is developed by Stanford University.
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Djuric, Dragan. "MDA-based ontology infrastructure." Computer Science and Information Systems 1, no. 1 (2004): 91–116. http://dx.doi.org/10.2298/csis0401091d.

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The paper presents Ontology Definition Metamodel (ODM) and Ontology UML Profile that enables using Model Driven Architecture (MDA) standards in ontological engineering. Other similar metamodels are based on ontology representation languages, such as RDF(S), DAML+OIL, etc. However, none of these other solutions uses the recent W3C effort-The Web Ontology Language (OWL). In our approach, we firstly define the ODM and Ontology UML Profile place in the context of the MDA four-layer architecture and identify the main OWL concepts. Then, we define ODM using Meta-Object Facility (MOF). The relations between similar MOF and OWL concepts are discussed in order to show their differences (e.g. MOF or UML Class and OWL Class). The proposed ODM is used as a starting point for defining Ontology UML profile that enables using the well-known UML notation in ontological engineering more extensively.
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Verhodubs, Olegs, and Janis Grundspenkis. "Algorithm of Ontology Transformation to Concept Map for Usage in Semantic Web Expert System." Applied Computer Systems 14, no. 1 (June 1, 2013): 80–87. http://dx.doi.org/10.2478/acss-2013-0010.

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Abstract The main purpose of this paper is to present an algorithm of OWL (Web Ontology Language) ontology transformation to concept map for subsequent generation of rules and also to evaluate the efficiency of this algorithm. These generated rules are necessary to supplement and even to develop SWES (Semantic Web Expert System) knowledge base. This paper is a continuation of the earlier research of OWL ontology transformation to rules.
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Dissertations / Theses on the topic "OWL-Ontology Web Language"

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Lacy, Lee. "ITERCHANGING DISCRETE EVENT SIMULATIONPROCESS INTERACTION MODELSUSING THE WEB ONTOLOGY LANGUAGE - OWL." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3332.

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Discrete event simulation development requires significant investments in time and resources. Descriptions of discrete event simulation models are associated with world views, including the process interaction orientation. Historically, these models have been encoded using high-level programming languages or special purpose, typically vendor-specific, simulation languages. These approaches complicate simulation model reuse and interchange. The current document-centric World Wide Web is evolving into a Semantic Web that communicates information using ontologies. The Web Ontology Language – OWL, was used to encode a Process Interaction Modeling Ontology for Discrete Event Simulations (PIMODES). The PIMODES ontology was developed using ontology engineering processes. Software was developed to demonstrate the feasibility of interchanging models from commercial simulation packages using PIMODES as an intermediate representation. The purpose of PIMODES is to provide a vendor-neutral open representation to support model interchange. Model interchange enables reuse and provides an opportunity to improve simulation quality, reduce development costs, and reduce development times.
Ph.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Modeling and Simulation
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Tewolde, Noh Teamrat. "Evaluating a Semantic Approach to Address Data Interoperability." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46272.

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Semantic approaches have been used to facilitate interoperability in different fields of study. Current literature, however, shows that the semantic approach has not been used to facilitate the interoperability of addresses across domains. Addresses are important reference data used to identify locations and /or delivery points. Interoperability of address data across address or application domains is important because it facilitates the sharing of address data, addressing software and tools which can be used across domains. The aim of this research study has been to evaluate how a semantic (ontologies) approach could be used to facilitate address data interoperability and what the challenges and benefits of the semantic approach are. To realize the hypothesis and answer the research problems, a multi-tier hierarchy of ontology architecture was designed to integrate (across domain) address data with different levels of granularities. Four-tier hierarchy of ontologies was argued to be the optimal architecture for address data interoperability. At the top of the hierarchy was Foundation-Tier that includes vocabularies for location-related information and semantic language rules and concepts. The second tier has address reference ontology (called Base Address Ontology) that was developed to facilitate interoperability across the address domains. Developing optimal address reference ontology was one of the major goals of the research. Different domain ontologies were developed at the third tier of the hierarchy. Domain ontologies extend the vocabulary of the BAO (address reference ontology) with domain specific concepts. At the bottom of the hierarchy are application ontologies that are designed for specific purpose within an address domain or domains. Multiple scenarios of address data usage were considered to answer the research questions from different perspectives. Two interoperable address systems were developed to demonstrate the proof of concepts for the semantic approach. These interoperable environments were created using the UKdata+UPUdata ontology and UKpostal ontology, which illustrate different use cases of ontologies that facilitate interoperability. Ontology reason, inference, and SPARQL query tools were used to share, exchange, and process address data across address domains. Ontology inferences were done to exchange address data attributes between the UK administrative address data and UK postal service address data systems in the UKdata+UPUdata ontology. SPARQL queries were, furthermore, run to extract and process information from different perspective of an address domain and from combined perspectives of two (UK administrative and UK postal) address domains. The second interoperable system (UKpostal ontology) illustrated the use of ontology inference tools to share address data between two address data systems that provide different perspectives of a domain.
Dissertation (MSc)--University of Pretoria, 2014.
tm2015
Computer Science
MSc
Unrestricted
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Santos, Laécio Lima dos. "PR-OWL 2 RL : um formalismo para tratamento de incerteza na web semântica." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/21547.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, Programa de Pós-Graducação em Informática, 2016.
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A Web Semântica (WS) adiciona informações semânticas a Web tradicional, permitindo que os computadores entendam conteúdos antes acessíveis apenas aos humanos. A Ontology Web Language (OWL), linguagem padrão para criação de ontologias na WS, se baseia em lógica descritiva para permitir uma modelagem formal de um domínio de conhecimento. A OWL, no entanto, não possui suporte para tratamento de incerteza, presente em diversas situações, o que motivou o estudo de várias alternativas para tratar este problema. O Probabilistic OWL (PR-OWL) adiciona suporte à incerteza ao OWL utilizando Multi-Entity Bayesian Networks (MEBN), uma linguagem probabilística de primeira ordem. A inferência no MEBN ocorre através da geração de uma rede bayesiana específica de situação (SSBN). O PR-OWL 2 estende a linguagem original oferecendo uma maior integração com o OWL e permitindo a construção de ontologias que mesclam conhecimento determinístico e probabilístico. PR-OWL não permite lidar com domínios que contenham bases assertivas muito grandes. Isto se deve a alta complexidade computacional da lógica descritiva na qual a OWL é baseada e ao fato de que as máquinas de inferência utilizadas nas implementações das versões do PR-OWL requerem que a base assertiva esteja carregada em memória. O presente trabalho propõe o PR-OWL 2 RL, uma versão escalável do PR-OWL baseada no profile OWL 2 RL e em triplestores. O OWL 2 RL permite raciocínio em tempo polinomial para as principais tarefas de inferência. Triplestores permitem armazenar triplas RDF (Resource Description Framework) em bancos de dados otimizados para trabalhar com grafos. Para permitir a geração de SSBN para bases contendo muitas evidências, este trabalho propõe um novo algoritmo, escalável ao instanciar nós de evidência apenas caso eles influenciem o nó objetivo. O plug-in PR-OWL 2 RL para o framework UnBBayes foi desenvolvido para permitir uma avaliação experimental dos algoritmos propostos. O estudo de caso abordado foi o de fraudes em licitações públicas. _______________________________________________________________________________________________ ABSTRACT
Semantic Web (SW) adds semantic information to the traditional Web, allowing computers to understand content before accessible only by human beings. The Web Ontology Language (OWL), main language for building ontologies in SW, allows a formal modeling of a knowledge domain based on description logics. OWL, however, does not support uncertainty. This restriction motivated the creation of several extensions of this language. Probabilistic OWL (PROWL) improves OWL with the ability to treat uncertainty using Multi-Entity Bayesian Networks (MEBN). MEBN is a first-order probabilistic logic. Its inference consists of generating a Situation Specific Bayesian Network (SSBN). PR-OWL 2 extends the PR-OWL offering a better integration with OWL and its underlying logic, allowing the creation of ontologies with deterministic and probabilistic parts. PR-OWL, however, does not deal with very large assertive bases. This is due to the high computational complexity of the description logic of OWL. Another fact is that reasoners used in PR-OWL implementation require that the data be fully load into memory at the time of inference. To address this issue, this work proposes PR-OWL 2 RL, a scalable version of PR-OWL based on OWL 2 RL profile and on triplestores. OWL 2 RL allows reasoning in polynomial time for the main reasoning tasks. Triplestores can store RDF (Resource Description Framework) triples in databases optimized to work with graphs. To allow the generation of SSBNs for databases with large evidence base, this work proposes a new algorithm that is scalable because it instantiates an evidence node only if it influence a target node. A plug-in for the UnBBayes framework was developed to allow an empirical evaluation of the new algorithms proposed. A case study over frauds into procurements was carried on.
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Sanches, Henderson Matsuura. "Onto-mama-nm : um modelo ontológico de tratamento de neoplasia mamária." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/23517.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade Gama, Programa de Pós-Graduação em Engenharia Biomédica, 2017.
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O objetivo desse trabalho foi a construção de um modelo ontológico da Neoplasia Mamária (NM) denominado ONTO-MAMA-NM. Esse modelo é uma ferramenta importante para auxiliar especialistas e estudantes da área da saúde no tratamento do câncer de mama. O modelo ontológico foi criado na linguagem Web Ontology Language (OWL), cuja principal vantagem é a facilidade para expressar significados e semântica e aplicabilidade no processo de informações de forma automatizada. Por se tratar de um modelo aplicado à área médica, o ONTO-MANA-NM procura manter a compatibilidade com os padrões Digital Imaging and Communications in Medicine (DICOM) e Health Level Seven International (HL7), de modo a preservar a interoperabilidade das informações dos pacientes em ambientes hospitalares. Como resultado, obteve-se um detalhamento da ontologia desenvolvida e implementada no software Protégé 5.1 com o apoio da metodologia denominada de Methontology. Foi descrito todo o processo de desenvolvimento, desde a coleta de dados até a validação final do modelo junto aos especialistas. Sendo assim, foi avaliado em duas etapas, isto é, primeiramente pelos especialistas: fisioterapeutas, médicos, residentes e alunos da fisioterapia e medicina do HUB. Ao final do processo da validação do ONTO-MAMANM, informaram que desconheciam a ontologia e não tinham visto nada semelhante referente ao tratamento da NM, obtendo assim o primeiro modelo ontológico do tratamento da NM.
The aim of this work was the development of a Mammary Neoplasia (NM) ontological model called ONTOMAMA- NM. This model is a relevant tool to assist experts and students of the health area in the treatment of breast cancer. The ontological model was implemented in the Web Ontology Language (OWL) language, whose main advantage is the facility to express meanings, semantics and applicability in the information process in an automated way. As a model applied to the medical field, ONTO-MANA-NM seeks to maintain compatibility with the Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven International (HL7) standards, in order to preserve the interoperability of patients information in hospital environments. As a result, it was developed a detailed ontology and implemented in Protégé 5.1 software with the support of the methodology called as Methontology. The final development process was described since the data collection until the final validation of the model with the experts. Thus, it was evaluated in two stages, that is, firstly by the specialists: physiotherapists, physicians, residents and students of physiotherapy and HUB medicine. At the end of the ONTO-MAMA-NM validation process, they reported that they did not know about the ontology and had not seen anything similar regarding NM treatment, thus obtaining the first ontological model of NM treatment.
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Sevindik, Mentes Hilal. "Design and Development of a Mineral Exploration Ontology." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/geosciences_theses/49.

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In this thesis, an ontology for the mineral exploration domain is designed and developed applying the Protégé ontology editor. The MinExOnt ontology includes a formal and explicit representation of the terms describing real objects, activities, and processes in mineral exploration. The stages used for these activities have various vocabularies, which are semantically modeled in this ontology with Web Ontology Language (OWL). The aim of the thesis is to show how ontologies can be designed and developed to help manage and represent geological knowledge. In addition to providing a general workflow for building the ontology, this thesis presents a simple user guide for the used software, including Protégé, used for ontology development, and Knoodl-OntVis, used for OWL visualization.
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Hahne, Fredrik, and Åsa Lindgren. "Från luddig verklighet till strikt formalism : Utveckling av en metod för den semantiska webben." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-477.

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Internet is the world’s largest source of information, and it is expanding every day. It is possible to find all kind of information as long as you know how and where to look for it, but still it is only the words itself that are searched for. We have with this essay tried to find an approach that makes it possible to give the word a meaning or a context.

We have, as a starting point used the Socrates method, which is a method that breaks down texts into its smallest elements and forms activities. We have redone these activities to ontologies by forming general and specific descriptions of the activities. The ontologies are meant to create a common language for as well humans as computers, where meaning and context are built in.

After we have created our ontologies we used Web Ontology Language, OWL, which is the ontology language that is considered being closest to a standard. It has been developed for the semantic web, and that is the ultimate objective of our essay. The semantic web is meant to be an extension of the existing web, and it will include comprehension for computers.

We have become conscious that the semantic web would be a great improvement for both humans and computers, since it will be a lot easier to find the information you are looking for.


Internet är världens största källa till information och det expanderar för varje dag. Det är möjligt att hitta all slags information om man bara vet vart och hur man ska leta, ändå är det bara orden som eftersöks. Vi har med vår uppsats försökt ta fram ett tillvägagångssätt som gör det möjligt att ge orden en betydelse eller ett sammanhang.

Som utgångspunkt har vi använt oss av Sokratesmetoden, vilket är en metod som bryter ner texter till dess minsta beståndsdelar, och bildar aktiviteter. Dessa aktiviteter har vi gjort om till ontologier genom att bilda generella och specifika beskrivningar av aktiviteterna. Ontologier är tänkta att skapa ett gemensamt språk för människor och datorer, där betydelse och sammanhang byggs in.

När vi skapat våra ontologier använde vi oss av Web Ontology Language, OWL, vilket är ett ontologispråk som anses vara närmast en standard. Detta språk har utvecklats för att kunna användas för den semantiska webben, vilken även är slutmålet med vår uppsats. Den semantiska webben är tänkt att utöka den befintliga webben, och ska bygga in förståelse även för datorer.

Vi har insett att den semantiska webben skulle innebära en stor förbättring för såväl människor som datorer, då det skulle bli enklare att hitta eftersökt information.

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Montenegro, Nuno Filipe Santos de Castro. "CityPlan." Doctoral thesis, Universidade de Lisboa. Faculdade de Arquitetura, 2015. http://hdl.handle.net/10400.5/9852.

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Broda, Cynthia Marie. "Ontology and Knowledge Base of Brittle Deformation Microstructures for the San Andreas Fault Observatory at Depth (SAFOD) Core Samples." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/geosciences_theses/26.

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The quest to answer fundamental questions and solve complex problems is a principal tenet of Earth science. The pursuit of scientific knowledge has generated profuse research, resulting in a plethora of information-rich resources. This phenomenon offers great potential for scientific discovery. However, a deficiency in information connectivity and processing standards has become evident. This deficiency has resulted in a demand for tools to facilitate and process this upsurge in information. This ontology project is an answer to the demand for information processing tools. The primary purpose of this domain-specific ontology and knowledge base is to organize, connect, and correlate research data related to brittle deformation microstructures. This semantically enabled ontology may be queried to return not only asserted information, but inferred knowledge that may not be evident. In addition, its standardized development in OWL-DL (Web Ontology Language-Description Logic) allows the potential for sharing and reuse among other geologic science communities.
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Goncalves, Joao Rafael Landeiro De sousa. "Impact analysis in description logic ontologies." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/impact-analysis-in-description-logic-ontologies(87ee476a-c690-44b5-bd4c-b9afbdf7a0a0).html.

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With the growing popularity of the Web Ontology Language (OWL) as a logic-based ontology language, as well as advancements in the language itself, the need for more sophisticated and up-to-date ontology engineering services increases as well. While, for instance, there is active focus on new reasoners and optimisations, other services fall short of advancing at the same rate (it suffices to compare the number of freely-available reasoners with ontology editors). In particular, very little is understood about how ontologies evolve over time, and how reasoners’ performance varies as the input changes. Given the evolving nature of ontologies, detecting and presenting changes (via a so-called diff) between them is an essential engineering service, especially for version control systems or to support change analysis. In this thesis we address the diff problem for description logic (DL) based ontologies, specifically OWL 2 DL ontologies based on the SROIQ DL. The outcomes are novel algorithms employing both syntactic and semantic techniques to, firstly, detect axiom changes, and what terms had their meaning affected between ontologies, secondly, categorise their impact (for example, determining that an axiom is a stronger version of another), and finally, align changes appropriately, i.e., align source and target of axiom changes (so the stronger axiom with the weaker one, from our example), and axioms with the terms they affect. Subsequently, we present a theory of reasoner performance heterogeneity, based on field observations related to reasoner performance variability phenomena. Our hypothesis is that there exist two kinds of performance behaviour: an ontology/reasoner combination can be performance-homogeneous or performance-heterogeneous. Finally, we verify that performance-heterogeneous reasoner/ontology combinations contain small, performance-degrading sets of axioms, which we call hot spots. We devise a performance hot spot finding technique, and show that hot spots provide a promising basis for engineering efficient reasoners.
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Sazonau, Viachaslau. "General terminology induction in description logics." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/general-terminology-induction-in-description-logics(63142865-d610-4041-84fa-764af1759554).html.

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In computer science, an ontology is a machine-processable representation of knowledge about some domain. Ontologies are encoded in ontology languages, such as the Web Ontology Language (OWL) based on Description Logics (DLs). An ontology is a set of logical statements, called axioms. Some axioms make universal statements, e.g. all fathers are men, while others record data, i.e. facts about specific individuals, e.g. Bob is a father. A set of universal statements is called TBox, as it encodes terminology, i.e. schema-level conceptual relationships, and a set of facts is called ABox, as it encodes instance-level assertions. Ontologies are extensively developed and widely used in domains such as biology and medicine. Manual engineering of a TBox is a difficult task that includes modelling conceptual relationships of the domain and encoding those relationships in the ontology language, e.g. OWL. Hence, it requires the knowledge of domain experts and skills of ontology engineers combined together. In order to assist engineering of TBoxes and potentially automate it, acquisition (or induction) of axioms from data has attracted research attention and is usually called Ontology Learning (OL). This thesis investigates the problem of OL from general principles. We formulate it as General Terminology Induction that aims at acquiring general, expressive TBox axioms (called general terminology) from data. The thesis addresses and investigates in depth two main questions: how to rigorously evaluate the quality of general TBox axioms and how to efficiently construct them. We design an approach for General Terminology Induction and implement it in an algorithm called DL-Miner. We extensively evaluate DL-Miner, compare it with other approaches, and run case studies together with domain experts to gain insight into its potential applications. The thesis should be of interest to ontology developers seeking automated means to facilitate building or enriching ontologies. In addition, as our experiments show, DL-Miner can deliver valuable insights into the data, i.e. can be useful for data analysis and debugging.
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Books on the topic "OWL-Ontology Web Language"

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Summer School on Reasoning Web (6th 2010 Dresden, Germany). Reasoning Web: Semantic technologies for software engineering : 6th International Summer School 2010, Dresden, Germany, August 30 - September 3, 2010 : tutorial lectures. Berlin: Springer, 2010.

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Owl: Representing Information Using the Web Ontology Language. Trafford Publishing, 2005.

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Book chapters on the topic "OWL-Ontology Web Language"

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Sengupta, Kunal, and Pascal Hitzler. "Web Ontology Language (OWL)." In Encyclopedia of Social Network Analysis and Mining, 2374–78. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_113.

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Bechhofer, Sean. "OWL: Web Ontology Language." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1073-2.

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Bechhofer, Sean. "OWL: Web Ontology Language." In Encyclopedia of Database Systems, 2640–41. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1073.

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Sengupta, Kunal, and Pascal Hitzler. "Web Ontology Language (OWL)." In Encyclopedia of Social Network Analysis and Mining, 3355–60. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_113.

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Bechhofer, Sean. "OWL: Web Ontology Language." In Encyclopedia of Database Systems, 2008–9. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1073.

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Musen, Mark A. "Web Ontology Language (OWL)." In Encyclopedia of Systems Biology, 2350–51. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1519.

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Yu, Liyang. "OWL: Web Ontology Language." In A Developer’s Guide to the Semantic Web, 169–263. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43796-4_5.

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Sengupta, Kunal, and Pascal Hitzler. "Web Ontology Language (OWL)." In Encyclopedia of Social Network Analysis and Mining, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_113-1.

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Antoniou, Grigoris, and Frank van Harmelen. "Web Ontology Language: OWL." In Handbook on Ontologies, 91–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92673-3_4.

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Antoniou, Grigoris, and Frank van Harmelen. "Web Ontology Language: OWL." In Handbook on Ontologies, 67–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24750-0_4.

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Conference papers on the topic "OWL-Ontology Web Language"

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Loia, V., C. De Maio, G. Fenza, and S. Senatore. "OWL-FC Ontology Web Language for fuzzy control." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584268.

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TRAN, Vuong Xuan, and Hidekazu TSUJI. "OWL-T: A Task Ontology Language for Automatic Service Composition." In IEEE International Conference on Web Services (ICWS 2007). IEEE, 2007. http://dx.doi.org/10.1109/icws.2007.138.

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Lee, Jae-Hyun, and Hyo-Won Suh. "OWL-Based Product Ontology Architecture and Representation for Sharing Product Knowledge on a Web." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35312.

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A collaborative product development environment requires sharing of product information among its participants. Product knowledge models and international standards have been developed for product information sharing. However, their models have limitations in representing their semantics explicitly, so a computer can not understand their semantics properly. It results in lack of information sharing. Recently, ontology gets attentions for automatic knowledge sharing because it can specify the semantics explicitly and logically. In addition, ontology-related standard language, such as web ontology language (OWL), is also proposed. In this paper, we propose an architecture for an ontology-based product knowledge and a product web ontology language (POWL) based on OWL. The architecture consists of three-level ontologies; meta-, generic and particular product ontology. The meta-product ontology is derived from previous top-level ontologies such as SUMO, DOLCE and Guarino’s ontology. The generic product ontology is developed to provide comprehensive knowledge primitives representing product knowledge. A particular product ontology specify knowledge about a specific product such as car, telephone, ship, etc., and it is defined based on the generic product ontology. Meanwhile, POWL has product knowledge primitives defined in the generic product ontology, and it can be transformed to OWL. So users can define the specific product knowledge based on POWL. We implement the tranformation logic with XSLT and demonstrate a POWL usage with an example.
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Zhu, Qian, and Cui Tao. "Pharmacological class data representation in the Web Ontology Language (OWL)." In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004397.

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Arabshian, K. "GloServ: global service discovery using the OWL Web ontology language." In IEE Seminar on Intelligent Building Environments. IEE, 2005. http://dx.doi.org/10.1049/ic:20050226.

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"A METHODOLOGY FOR DEVELOPING ONTOLOGIES USING THE ONTOLOGY WEB LANGUAGE (OWL)." In 9th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002352302610268.

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Nanda, Jyotirmaya, Henri J. Thevenot, Timothy W. Simpson, Soundar R. T. Kumara, and Steven B. Shooter. "Exploring Semantic Web Technologies for Product Family Modeling." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57683.

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By sharing product design information across a family of products, companies can increase the flexibility and responsiveness of their product realization process while shortening lead-times and reducing cost. This paper describes a preliminary attempt at using semantic web paradigm, especially the Web Ontology Language (OWL), for product family information management. An overview of the ongoing work with Semantic Web is also presented. Formal product representation using OWL can not only store the structure of the product family but also help in capturing the evolution of different components of the product family. As an illustration, a group of single-use cameras, containing several products from the Kodak single-use camera family, is represented in OWL format. The methodology of ontology development that can support product family design is discussed in detail. Product family design representation using OWL promotes better learning across products and reduced development time, system complexity, and product design lead-time.
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Sadoun, Driss, Satenik Mkhitaryan, Damien Nouvel, and Mathieu Valette. "ReadME generation from an OWL ontology describing NLP tools." In Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web (WebNLG 2016). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-3509.

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Noh, Jung-Do, and Hyo-Won Suh. "Layered Product Knowledge Representation and Reasoning With OWL and SWRL." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49720.

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Traditionally, product development process has required knowledge management techniques to capture information and knowledge about design. In the meantime, the necessity for sharing and exchanging not only product data but also semantics of product data has been arisen because of the use of various software tools and product data models in distributed product development environment. The main focus of this research has been on exploiting implicit engineers’ design knowledge by explicitly expressing and sharing the knowledge through terms representing semantics of product data. In particular, it considers that distributed product design data can be semantically integrated by using ontology on which implicit design knowledge can be captured in the form of IF-THEN rule. Thus, in this paper, we use the Web Ontology Language (OWL), which is a Description Logic based ontology language, to represent product data and the Semantic Web Rule Language (SWRL), which is a rule based ontology language, to express design knowledge for car air purifiers in Prote´ge´. Then, this paper shows how OWL product data model and SWRL design knowledge can support design decision making of car air purifiers by their reasoning. In addition, it also demonstrates how SWRL can complement OWL to build product data model as well.
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Chen, Jiaoyan, Freddy Lécué, Yuxia Geng, Jeff Z. Pan, and Huajun Chen. "Ontology-guided Semantic Composition for Zero-shot Learning." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/87.

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Zero-shot learning (ZSL) is a popular research problem that aims at predicting for those classes that have never appeared in the training stage by utilizing the inter-class relationship with some side information. In this study, we propose to model the compositional and expressive semantics of class labels by an OWL (Web Ontology Language) ontology, and further develop a new ZSL framework with ontology embedding. The effectiveness has been verified by some primary experiments on animal image classification and visual question answering.
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Reports on the topic "OWL-Ontology Web Language"

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Metcalf, Chris, and Grace A. Lewis. Model Problems in Technologies for Interoperability: OWL Web Ontology Language for Services (OWL-S). Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada452978.

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Sycara, Katia P. Semantic Web Services with Web Ontology Language (OWL-S) - Specification of Agent-Services for DARPA Agent Markup Language (DAML). Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada457387.

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