Literatura académica sobre el tema "Multimedia web ontology language"
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Artículos de revistas sobre el tema "Multimedia web ontology language"
Chebotko, Artem, Yu Deng, Shiyong Lu, Farshad Fotouhi y Anthony Aristar. "An Ontology-Based Multimedia Annotator for the Semantic Web of Language Engineering". International Journal on Semantic Web and Information Systems 1, n.º 1 (enero de 2005): 50–67. http://dx.doi.org/10.4018/jswis.2005010104.
Texto completoRinaldi, Antonio M. "Enabling semantic technologies using multimedia ontology". Encyclopedia with Semantic Computing and Robotic Intelligence 01, n.º 01 (marzo de 2017): 1630008. http://dx.doi.org/10.1142/s2425038416300081.
Texto completoAlhawiti, Mohamed y Yasser Abdelhamid. "Collection of Web Multimedia Teaching Resources Using Ontology". International Journal of Information and Education Technology 6, n.º 4 (2016): 269–74. http://dx.doi.org/10.7763/ijiet.2016.v6.698.
Texto completoMannan, J. Mannar, M. Sundarambal y S. Raghul. "SELECTION OF ONTOLOGY FOR WEB SERVICE DESCRIPTION LANGUAGE TO ONTOLOGY WEB LANGUAGE CONVERSION". Journal of Computer Science 10, n.º 1 (1 de enero de 2014): 45–53. http://dx.doi.org/10.3844/jcssp.2014.45.53.
Texto completoSaha, Goutam Kumar. "Web ontology language (OWL) and semantic web". Ubiquity 2007, September (septiembre de 2007): 1. http://dx.doi.org/10.1145/1295289.1295290.
Texto completoJakkilinki, R., N. Sharda y I. Ahmad. "MUDPY ontology: a tool for multimedia project planning, design and development". Journal of Enterprise Information Management 19, n.º 2 (1 de marzo de 2006): 165–74. http://dx.doi.org/10.1108/17410390610645067.
Texto completoMilea, V., F. Frasincar y U. Kaymak. "tOWL: A Temporal Web Ontology Language". IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42, n.º 1 (febrero de 2012): 268–81. http://dx.doi.org/10.1109/tsmcb.2011.2162582.
Texto completoMaduraiMeenachi, N. y M. Sai Baba. "Web Ontology Language Editors for Semantic Web- A Survey". International Journal of Computer Applications 53, n.º 12 (25 de septiembre de 2012): 12–16. http://dx.doi.org/10.5120/8472-2398.
Texto completoUma, R. y K. Muneeswaran. "OMIR: Ontology-Based Multimedia Information Retrieval System for Web Usage Mining". Cybernetics and Systems 48, n.º 4 (13 de marzo de 2017): 393–414. http://dx.doi.org/10.1080/01969722.2017.1285163.
Texto completoThirupathi, Lingala y Venkata Nageswara Rao Padmanabhuni. "Protection Policy Implementation using Web Ontology Language". International Journal of Engineering Trends and Technology 70, n.º 8 (31 de agosto de 2022): 453–62. http://dx.doi.org/10.14445/22315381/ijett-v70i8p246.
Texto completoTesis sobre el tema "Multimedia web ontology language"
Alaca, Aygul Filiz. "Natural Language Query Processing In Ontology Based Multimedia Databases". Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611816/index.pdf.
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connector), spatial (left, right . . . ), temporal (before, after, at least 10 minutes before, 5 minutes after . . . ), object trajectory and directional trajectory (east, west, southeast . . . , left, right, upwards . . . ) queries to the system. Furthermore, the system handles the negative meaning in the user input. When the user enters a natural language (NL) input, it is parsed with the link parser. According to query type, the objects, attributes, spatial relation, temporal relation, trajectory relation, time filter and time information are extracted from the parser output by using predefined rules. After the information extraction, SPARQL queries are generated, and executed against the ontology by using an RDF API. Results are retrieved and they are used to calculate spatial, temporal, and trajectory relations between objects. The results satisfying the required relations are displayed in a tabular format and user can navigate through the multimedia content.
Suresh, Raju Vishnu. "Verifying arbitrary safety-related rules using Web Ontology Language". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251652.
Texto completoDetta examensarbete har genomförts för att undersöka möjligheten att verifiera godtyckliga säkerhetsrelaterade regler i samband med tunga fordon som omfattas av ISO 26262 funktionell standard för fordonsäkerhet, med hjälp av semantiska webresoneringsmetoder i länkat dataformat. Syftet är att använda detta vidare som en högt automatiserad metod för funktionell säkerhet för olika fordonskonfigurationer. Det nuvarande systemet med verktyg för att utföra verifieringen innebär manuellt arbete och är svårt att använda på grund av datas storlek och komplexitet. Examensarbetet utfördes inom Scania, där data tillhandahölls av systemsäkerhetsavdelningen. För implementering av verktyget användes länkade data. Arbetets första steg var att kartlägga de befintliga resonerarna och deras tillämpningar på olika problem vid kontrollen av regler baserade på olika jämförelsekriterier och benchmarkresultat. Den andra etappen av projektet var att bestämma ett lämpligt sätt att representera reglerna för att verifiera dem mot tillgängliga data.
Farrar, Scott O. "An ontology for linguistics on the Semantic Web". Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/289879.
Texto completoSengupta, Kunal. "A Language for Inconsistency-Tolerant Ontology Mapping". Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1441044183.
Texto completoLacy, 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.
Texto completoPh.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Modeling and Simulation
Kavalec, Martin. "Ontology Learning and Information Extraction for the Semantic Web". Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-452.
Texto completoTewolde, Noh Teamrat. "Evaluating a Semantic Approach to Address Data Interoperability". Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46272.
Texto completoDissertation (MSc)--University of Pretoria, 2014.
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Computer Science
MSc
Unrestricted
Gao, Yongchun 1977. "The application of Web Ontology Language for information sharing in the dairy industry /". Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97957.
Texto completoSantos, 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.
Johannes, Elisabeth. "DEUTSCH 1, 2, 3!! : an interactive, multimedia, web-based program for the German foreign language classroom". Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/741.
Texto completoLibros sobre el tema "Multimedia web ontology language"
Anupama, Mallik y Ghosh Hiranmay, eds. Multimedia ontology: Representation and applications. Boca Raton, Florida: CRC Press, 2016.
Buscar texto completoSMIL: Adding multimedia to the Web. Indianapolis: Sams, 2002.
Buscar texto completoHTML5 multimedia: Develop and design. Berkeley, Calif: Peachpit Press, 2012.
Buscar texto completoInc, ebrary, ed. TYPO3 4.3 multimedia cookbook: Over 50 great recipes for effectively managing multimedia content to create an organized website in TYPO3. Birmingham [England]: Packt Pub., 2010.
Buscar texto completoHitzler, Pascal. Foundations of Semantic Web technologies. Boca Raton, Fla: Chapman & Hall/CRC Press, 2009.
Buscar texto completoJ, Hinrichs Randy, ed. Web page design: A different multimedia. Mountain View, Calif: SunSoft Press, 1996.
Buscar texto completoLee, Jordan y ebrary Inc, eds. HTML5 multimedia development cookbook: Recipes for practical, real-world HTML5 multimedia-driven development. Olton, Birmingham: Packt Pub., 2011.
Buscar texto completoBluttman, Ken. HTML5 multimedia developer's guide. New York: McGraw-Hill, 2012.
Buscar texto completoC, Leonard David y Dillon Patrick M, eds. Multimedia and the Web from A to Z. 2a ed. Phoenix, AZ: Oryx Press, 1998.
Buscar texto completoBrown, Mandy, ed. HTML5 For Web Designers. New York, USA: A Book Apart, 2010.
Buscar texto completoCapítulos de libros sobre el tema "Multimedia web ontology language"
Hogan, Aidan. "Web Ontology Language". En The Web of Data, 185–322. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51580-5_5.
Texto completoYu, Liyang. "OWL: Web Ontology Language". En A Developer’s Guide to the Semantic Web, 155–239. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15970-1_5.
Texto completoAntoniou, Grigoris y Frank van Harmelen. "Web Ontology Language: OWL". En Handbook on Ontologies, 91–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92673-3_4.
Texto completoAntoniou, Grigoris y Frank van Harmelen. "Web Ontology Language: OWL". En Handbook on Ontologies, 67–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24750-0_4.
Texto completoSengupta, Kunal y Pascal Hitzler. "Web Ontology Language (OWL)". En 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.
Texto completoYu, Liyang. "OWL: Web Ontology Language". En 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.
Texto completoMusen, Mark A. "Web Ontology Language (OWL)". En 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.
Texto completoBechhofer, Sean. "OWL: Web Ontology Language". En Encyclopedia of Database Systems, 2008–9. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1073.
Texto completoSengupta, Kunal y Pascal Hitzler. "Web Ontology Language (OWL)". En 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.
Texto completoBechhofer, Sean. "OWL: Web Ontology Language". En 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.
Texto completoActas de conferencias sobre el tema "Multimedia web ontology language"
Nakamura, Yoshih. "Unskilled User Support for Network Operation Based on Service Composition Using Web Ontology Languages". En 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.193.
Texto completoYu, Qing y Jinlin Wang. "Extending Ontology Language for Semantic Web". En 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). IEEE, 2007. http://dx.doi.org/10.1109/cisw.2007.4425459.
Texto completoCao, Son Thanh, Linh Anh Nguyen y Andrzej Szalas. "WORL: A Web Ontology Rule Language". En 2011 Third International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2011. http://dx.doi.org/10.1109/kse.2011.14.
Texto completoPauwels, P., E. Corry y J. O'Donnell. "Representing SimModel in the Web Ontology Language". En 2014 International Conference on Computing in Civil and Building Engineering. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413616.282.
Texto completoPapaioannou, I. V., D. T. Tsesmetzis, I. G. Roussaki y M. E. Anagnostou. "A QoS ontology language for Web-services". En 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06). IEEE, 2006. http://dx.doi.org/10.1109/aina.2006.51.
Texto completoAdelkhah, Razieh, Mehrnoush Shamsfard y Niloofar Naderian. "The Ontology of Natural Language Processing". En 2019 5th International Conference on Web Research (ICWR). IEEE, 2019. http://dx.doi.org/10.1109/icwr.2019.8765269.
Texto completoPena, Alejandro, Humberto Sossa y Francisco Gutierrez. "Web-Services based Ontology Agent". En The 2nd International Conference on Distributed Frameworks for Multimedia Applications. IEEE, 2006. http://dx.doi.org/10.1109/dfma.2006.296903.
Texto completoKim, Su-Kyoung. "Implementation of Web Ontology for Semantic Web Application". En Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/alpit.2007.90.
Texto completoJianliang, Xu y Ma Xiaowei. "A Web-Based Ontology Evaluation System". En 2008 International Conference on Advanced Language Processing and Web Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/alpit.2008.28.
Texto completoLoia, V., C. De Maio, G. Fenza y S. Senatore. "OWL-FC Ontology Web Language for fuzzy control". En 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584268.
Texto completoInformes sobre el tema "Multimedia web ontology language"
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, agosto de 2006. http://dx.doi.org/10.21236/ada457387.
Texto completoMetcalf, Chris y Grace A. Lewis. Model Problems in Technologies for Interoperability: OWL Web Ontology Language for Services (OWL-S). Fort Belvoir, VA: Defense Technical Information Center, abril de 2006. http://dx.doi.org/10.21236/ada452978.
Texto completoBorgwardt, Stefan, Marco Cerami y Rafael Peñaloza. Subsumption in Finitely Valued Fuzzy EL. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.212.
Texto completoShapovalov, Viktor B., Yevhenii B. Shapovalov, Zhanna I. Bilyk, Artem I. Atamas, Roman A. Tarasenko y Vitaliy V. Tron. Centralized information web-oriented educational environment of Ukraine. [б. в.], septiembre de 2019. http://dx.doi.org/10.31812/123456789/3251.
Texto completoBaader, Franz, Stefan Borgwardt y Barbara Morawska. Constructing SNOMED CT Concepts via Disunification. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.237.
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