Literatura académica sobre el tema "Ontologies (artificial intelligence)"
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Artículos de revistas sobre el tema "Ontologies (artificial intelligence)"
Lazarre, Warda, Kaladzavi Guidedi, Samdalle Amaria y Kolyang. "Modular Ontology Design: A State-of-Art of Diseases Ontology Modeling and Possible Issue". Revue d'Intelligence Artificielle 36, n.º 3 (30 de junio de 2022): 497–501. http://dx.doi.org/10.18280/ria.360319.
Texto completoDeagustini, Cristhian Ariel D., Maria Vanina Martinez, Marcelo A. Falappa y Guillermo R. Simari. "Datalog+- Ontology Consolidation". Journal of Artificial Intelligence Research 56 (30 de agosto de 2016): 613–56. http://dx.doi.org/10.1613/jair.5131.
Texto completoZhang, Fu, Jingwei Cheng y Zongmin Ma. "A survey on fuzzy ontologies for the Semantic Web". Knowledge Engineering Review 31, n.º 3 (22 de abril de 2016): 278–321. http://dx.doi.org/10.1017/s0269888916000059.
Texto completoMars, Nicolaas J. I. "Comparison of implemented ontologies". Knowledge Engineering Review 10, n.º 1 (marzo de 1995): 67–68. http://dx.doi.org/10.1017/s026988890000727x.
Texto completoMAYFIELD, JAMES. "Ontologies and text retrieval". Knowledge Engineering Review 17, n.º 1 (marzo de 2002): 71–75. http://dx.doi.org/10.1017/s026988890200036x.
Texto completoAndreasen, Troels y Henrik Bulskov. "Conceptual querying through ontologies". Fuzzy Sets and Systems 160, n.º 15 (agosto de 2009): 2159–72. http://dx.doi.org/10.1016/j.fss.2009.02.019.
Texto completoToro, Carlos, Cesar Sanín, Edward Szczerbicki y Jorge Posada. "REFLEXIVE ONTOLOGIES: ENHANCING ONTOLOGIES WITH SELF-CONTAINED QUERIES". Cybernetics and Systems 39, n.º 2 (19 de febrero de 2008): 171–89. http://dx.doi.org/10.1080/01969720701853467.
Texto completoAlejandro Gómez, Sergio, Carlos Iván Chesñevar y Guillermo Ricardo Simari. "REASONING WITH INCONSISTENT ONTOLOGIES THROUGH ARGUMENTATION". Applied Artificial Intelligence 24, n.º 1-2 (2 de febrero de 2010): 102–48. http://dx.doi.org/10.1080/08839510903448692.
Texto completoBatet, Montserrat, David Sánchez, Aida Valls y Karina Gibert. "Semantic similarity estimation from multiple ontologies". Applied Intelligence 38, n.º 1 (26 de mayo de 2012): 29–44. http://dx.doi.org/10.1007/s10489-012-0355-y.
Texto completoRANGANATHAN, ANAND, ROBERT E. McGRATH, ROY H. CAMPBELL y M. DENNIS MICKUNAS. "Use of ontologies in a pervasive computing environment". Knowledge Engineering Review 18, n.º 3 (septiembre de 2003): 209–20. http://dx.doi.org/10.1017/s0269888904000037.
Texto completoTesis sobre el tema "Ontologies (artificial intelligence)"
Tamma, Valentina A. M. "An ontology model supporting multiple ontologies for knowledge sharing". Thesis, University of Liverpool, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250548.
Texto completoGandon, Fabien. "Distributed artificial intelligence and knowledge management : ontologies and multi-agent systems for a corporate semantic web". Nice, 2002. http://www.theses.fr/2002NICE5773.
Texto completoCe travail concerne les systèmes multi-agents pour la gestion d'un web sémantique d'entreprise basé sur une ontologie. Il a été effectué dans le cadre du projet Européen CoMMA se focalisant sur deux scénarios d'application: l'assistance aux activités de veille technologique et l'aide à l'insertion d'un nouvel employé dans une organisation. Trois aspects ont essentiellement été développés dans ce travail: la conception d'une architecture multi-agents assistant les deux scénarios, et l'approche organisationnelle descendante adoptée pour identifier les sociétés, les rôles et les interactions des agents. La construction de l'ontologie O'CoMMA et la structuration de la mémoire organisationnelle en exploitant les technologies du Web sémantique. La conception et l'implantation (a) des sous-sociétés d'agents chargées de la maintenance des annotations et de l'ontologie et (b) des protocoles supportant ces deux groupes d'agents, en particulier des techniques pour la distribution des annotations et des requêtes entre les agents
Bate, Andrew. "Consequence-based reasoning for SRIQ ontologies". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:6b35e7d0-199c-4db9-ac8a-7f78256e5fb8.
Texto completoMarinica, Claudia. "Association Rule Interactive Post-processing using Rule Schemas and Ontologies - ARIPSO". Phd thesis, Université de Nantes, 2010. http://tel.archives-ouvertes.fr/tel-00912580.
Texto completoMarinica, Claudia. "Association Rule Interactive Post-processing using Rule Schemas and Ontologies : aripso". Phd thesis, Nantes, 2010. https://archive.bu.univ-nantes.fr/pollux/show/show?id=90a57cc4-245f-420d-ac2b-f9ad7929e0f7.
Texto completoThis thesis is concerned with the merging of two active research domains: Knowledge Discovery in Databases - Association Rule Mining technique, and Knowledge Engineering - representation languages of Semantic Web. The usefulness of association rule technique is strongly limited by the huge amount and the low quality of delivered rules. To overcome this drawback, several methods have been proposed in the literature such as itemset concise representations, redundancy reduction, filtering, ranking and post-processing, and most of them are based on data structure. However, rule interestingness strongly depends on user knowledge and goals. In this context, it is crucial to help the user with an efficient technique to reduce the number of rules while keeping interesting ones. This work addresses two main issues: the integration of user knowledge in the discovery process and the interactivity with the user. The first issue requires an accurate and flexible formalism to express user knowledge such as ontologies in the Semantic Web. The second one proposes a more iterative mining process allowing the user to explore the rule space incrementally focusing on interesting rules. The main contributions of this work can be summarized as follows: (i) A model to represent user knowledge. First, we propose to represent user domain knowledge by means of ontologies. Second, we develop a new formalism, called "Rule Schema", which allows the user to define his/her expectations throughout ontology concepts. Last, we suggest the user a set of "mining Operators" to be applied over Rule Schemas. (ii) A new post-processing approach, ARJPSO. Lt allows the user to reduce the volume of the discovered rules by keeping only the interesting rules. ARIPSO is an interactive process integrating user knowledge by means of the proposed model. The interactive loop allows at each step the user to change the provided information and to reiterate the post-processing phase. (iii) The implementation in post-processing of ARJPSO. The developed tool is complete and operational, and it implements all the functionalities described in the approach. An alternative implementation, without post-processing, was proposed (ARLIUS). It consists in an interactive local mining process. (iv) An experimental study analyzing the approach efficiency and the discovered rule quality. For this purpose, we used a large real-life database; for ARJPSO, the experimentation was carried out in complete cooperation with the domain expert. From an input set of nearly 400 thousand rules, for different scenarios, ARIPSO filtered between 3 and 200 rules validated by the expert
Gherasim, Toader. "Détection de problèmes de qualité dans les ontologies construites automatiquement à partir de textes". Phd thesis, Université de Nantes, 2013. http://tel.archives-ouvertes.fr/tel-00982126.
Texto completoFortineau, Virginie. "Contribution à une modélisation ontologique des informations tout au long du cycle de vie du produit". Phd thesis, Ecole nationale supérieure d'arts et métiers - ENSAM, 2013. http://pastel.archives-ouvertes.fr/pastel-01064598.
Texto completoAimé, Xavier. "Gradients de prototypicalité, mesures de similarité et de proximité sémantique : une contribution à l'Ingénierie des Ontologies". Phd thesis, Université de Nantes, 2011. http://tel.archives-ouvertes.fr/tel-00660916.
Texto completoChniti, Amina. "Gestion des dépendances et des interactions entre Ontologies et Règles Métier". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2013. http://tel.archives-ouvertes.fr/tel-00820671.
Texto completoGong, Jian y 龔劍. "Managing uncertainty in schema matchings". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46076116.
Texto completoLibros sobre el tema "Ontologies (artificial intelligence)"
Obrst, Leo Joseph, Terry Janssen y W. Ceusters. Ontologies and semantic technologies for intelligence. Amsterdam, Netherlands: IOS Press, 2010.
Buscar texto completoservice), SpringerLink (Online, ed. On the Mathematics of Modelling, Metamodelling, Ontologies and Modelling Languages. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Buscar texto completoOntology representation: Design patterns and ontologies that make sense. Amsterdam: IOS Press, 2009.
Buscar texto completoFensel, Dieter. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.
Buscar texto completoOntology-driven software development. Heidelberg: Springer, 2013.
Buscar texto completoPan, Jeff Z. Ontology-Driven Software Development. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Buscar texto completoPompeu, Casanovas, Biasiotti Maria Angela, Fernández-Barrera Meritxell y SpringerLink (Online service), eds. Approaches to Legal Ontologies: Theories, Domains, Methodologies. Dordrecht: Springer Science+Business Media B.V., 2011.
Buscar texto completoGargouri, Faiez. Ontology theory, management and design: Advanced tools and models. Hershey, PA: Information Science Reference, 2010.
Buscar texto completoNogueras, Iso Javier, Zarazaga-Soria F. Javier y SpringerLink (Online service), eds. Terminological Ontologies: Design, Management and Practical Applications. Boston, MA: Springer Science+Business Media, LLC, 2010.
Buscar texto completoCasellas, Núria. Legal ontology engineering: Methodologies, modelling trends, and the ontology of professional judicial knowledge. Dordrecht: Springer, 2011.
Buscar texto completoCapítulos de libros sobre el tema "Ontologies (artificial intelligence)"
Voronkov, Andrei. "Inconsistencies in Ontologies". En Logics in Artificial Intelligence, 19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11853886_3.
Texto completoGalitsky, Boris, Dmitry Ilvovsky y Elizaveta Goncharova. "Relying on Discourse Trees to Extract Medical Ontologies from Text". En Artificial Intelligence, 215–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86855-0_15.
Texto completoPeñaloza, Rafael. "Introduction to Probabilistic Ontologies". En Reasoning Web. Declarative Artificial Intelligence, 1–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60067-9_1.
Texto completoCalvanese, Diego. "Query Answering over Description Logic Ontologies". En Logics in Artificial Intelligence, 1–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11558-0_1.
Texto completoPapatheodorou, Christos y Alexandra Vassiliou. "Discovering Ontologies for e-Learning Platforms". En Advances in Artificial Intelligence, 576–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752912_72.
Texto completoBienvenu, Meghyn, Michel Leclère, Marie-Laure Mugnier y Marie-Christine Rousset. "Reasoning with Ontologies". En A Guided Tour of Artificial Intelligence Research, 185–215. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-06164-7_6.
Texto completoDartigues, Christel y Parisa Ghodous. "Product Data Exchange Using Ontologies". En Artificial Intelligence in Design ’02, 617–37. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0795-4_29.
Texto completoKnorr, Matthias. "On Combining Ontologies and Rules". En Reasoning Web. Declarative Artificial Intelligence, 22–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95481-9_2.
Texto completoValls, Aida, Antonio Moreno y Joan Borràs. "Preference Representation with Ontologies". En Multicriteria Decision Aid and Artificial Intelligence, 77–99. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118522516.ch4.
Texto completoEnsan, Faezeh y Weichang Du. "Aspects of Inconsistency Resolution in Modular Ontologies". En Advances in Artificial Intelligence, 84–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68825-9_9.
Texto completoActas de conferencias sobre el tema "Ontologies (artificial intelligence)"
"Ontologies for Authoring, or Authoring Ontologies?" En International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004330503640369.
Texto completoBettahar, Fathia, Claude Moulin y Jean-Paul A. Barthes. "Ontologies supporting eGovernment Services". En 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341274.
Texto completoZhang, S., Y. Sun, Y. Peng y X. Wang. "A Practical Tool for Uncertainty in OWL Ontologies". En Artificial Intelligence and Applications. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-007.
Texto completoBienvenu, Meghyn, Quentin Manière y Michaël Thomazo. "Cardinality Queries over DL-Lite Ontologies". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/248.
Texto completoCeylan, İsmail İlkan, Thomas Lukasiewicz, Rafael Peñaloza y Oana Tifrea-Marciuska. "Query Answering in Ontologies under Preference Rankings". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/131.
Texto completoJakob, Stefan, Alexander Jahl, Harun Baraki y Kurt Geihs. "Generating Commonsense Ontologies with Answer Set Programming". En 13th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010191905380545.
Texto completoAnnane, Amina, Mouna Kamel y Nathalie Aussenac-Gilles. "Comparing Business Process Ontologies for Task Monitoring". En 12th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008978706340643.
Texto completoKorotkiy, Maksym. "On the Effect of Ontologies on Quality of Web Applications". En 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341276.
Texto completoBienvenu, Meghyn, Quentin Manière y Michaël Thomazo. "Answering Counting Queries over DL-Lite Ontologies". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/223.
Texto completoCarral, David, Irina Dragoste y Markus Krötzsch. "Detecting Chase (Non)Termination for Existential Rules with Disjunctions". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/128.
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