Academic literature on the topic 'OWL-Ontology Web Language'
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Journal articles on the topic "OWL-Ontology Web Language"
Saha, Goutam Kumar. "Web ontology language (OWL) and semantic web." Ubiquity 2007, September (September 2007): 1. http://dx.doi.org/10.1145/1295289.1295290.
Full textYang, 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.
Full textLi, 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.
Full textLiu, 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.
Full textPan, 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.
Full textWang, 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.
Full textSong, 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.
Full textJiang, 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.
Full textDjuric, Dragan. "MDA-based ontology infrastructure." Computer Science and Information Systems 1, no. 1 (2004): 91–116. http://dx.doi.org/10.2298/csis0401091d.
Full textVerhodubs, 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.
Full textDissertations / Theses on the topic "OWL-Ontology Web Language"
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.
Full textPh.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Modeling and Simulation
Tewolde, Noh Teamrat. "Evaluating a Semantic Approach to Address Data Interoperability." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46272.
Full textDissertation (MSc)--University of Pretoria, 2014.
tm2015
Computer Science
MSc
Unrestricted
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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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.
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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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.
Sevindik, Mentes Hilal. "Design and Development of a Mineral Exploration Ontology." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/geosciences_theses/49.
Full textHahne, 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.
Full textInternet 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.
Montenegro, Nuno Filipe Santos de Castro. "CityPlan." Doctoral thesis, Universidade de Lisboa. Faculdade de Arquitetura, 2015. http://hdl.handle.net/10400.5/9852.
Full textBroda, 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.
Full textGoncalves, 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.
Full textSazonau, 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.
Full textBooks on the topic "OWL-Ontology Web Language"
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.
Find full textOwl: Representing Information Using the Web Ontology Language. Trafford Publishing, 2005.
Find full textBook chapters on the topic "OWL-Ontology Web Language"
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.
Full textBechhofer, 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.
Full textBechhofer, 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.
Full textSengupta, 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.
Full textBechhofer, 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.
Full textMusen, 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.
Full textYu, 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.
Full textSengupta, 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.
Full textAntoniou, 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.
Full textAntoniou, 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.
Full textConference papers on the topic "OWL-Ontology Web Language"
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.
Full textTRAN, 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.
Full textLee, 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.
Full textZhu, 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.
Full textArabshian, 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.
Full text"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.
Full textNanda, 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.
Full textSadoun, 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.
Full textNoh, 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.
Full textChen, 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.
Full textReports on the topic "OWL-Ontology Web Language"
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.
Full textSycara, 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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