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Статті в журналах з теми "Ontologies (artificial intelligence)"
Lazarre, Warda, Kaladzavi Guidedi, Samdalle Amaria, and Kolyang. "Modular Ontology Design: A State-of-Art of Diseases Ontology Modeling and Possible Issue." Revue d'Intelligence Artificielle 36, no. 3 (June 30, 2022): 497–501. http://dx.doi.org/10.18280/ria.360319.
Повний текст джерелаDeagustini, Cristhian Ariel D., Maria Vanina Martinez, Marcelo A. Falappa, and Guillermo R. Simari. "Datalog+- Ontology Consolidation." Journal of Artificial Intelligence Research 56 (August 30, 2016): 613–56. http://dx.doi.org/10.1613/jair.5131.
Повний текст джерелаZhang, Fu, Jingwei Cheng, and Zongmin Ma. "A survey on fuzzy ontologies for the Semantic Web." Knowledge Engineering Review 31, no. 3 (April 22, 2016): 278–321. http://dx.doi.org/10.1017/s0269888916000059.
Повний текст джерелаMars, Nicolaas J. I. "Comparison of implemented ontologies." Knowledge Engineering Review 10, no. 1 (March 1995): 67–68. http://dx.doi.org/10.1017/s026988890000727x.
Повний текст джерелаMAYFIELD, JAMES. "Ontologies and text retrieval." Knowledge Engineering Review 17, no. 1 (March 2002): 71–75. http://dx.doi.org/10.1017/s026988890200036x.
Повний текст джерелаAndreasen, Troels, and Henrik Bulskov. "Conceptual querying through ontologies." Fuzzy Sets and Systems 160, no. 15 (August 2009): 2159–72. http://dx.doi.org/10.1016/j.fss.2009.02.019.
Повний текст джерелаToro, Carlos, Cesar Sanín, Edward Szczerbicki, and Jorge Posada. "REFLEXIVE ONTOLOGIES: ENHANCING ONTOLOGIES WITH SELF-CONTAINED QUERIES." Cybernetics and Systems 39, no. 2 (February 19, 2008): 171–89. http://dx.doi.org/10.1080/01969720701853467.
Повний текст джерелаAlejandro Gómez, Sergio, Carlos Iván Chesñevar, and Guillermo Ricardo Simari. "REASONING WITH INCONSISTENT ONTOLOGIES THROUGH ARGUMENTATION." Applied Artificial Intelligence 24, no. 1-2 (February 2, 2010): 102–48. http://dx.doi.org/10.1080/08839510903448692.
Повний текст джерелаBatet, Montserrat, David Sánchez, Aida Valls, and Karina Gibert. "Semantic similarity estimation from multiple ontologies." Applied Intelligence 38, no. 1 (May 26, 2012): 29–44. http://dx.doi.org/10.1007/s10489-012-0355-y.
Повний текст джерелаRANGANATHAN, ANAND, ROBERT E. McGRATH, ROY H. CAMPBELL, and M. DENNIS MICKUNAS. "Use of ontologies in a pervasive computing environment." Knowledge Engineering Review 18, no. 3 (September 2003): 209–20. http://dx.doi.org/10.1017/s0269888904000037.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаGandon, Fabien. "Distributed artificial intelligence and knowledge management : ontologies and multi-agent systems for a corporate semantic web." Nice, 2002. http://www.theses.fr/2002NICE5773.
Повний текст джерелаCe 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.
Повний текст джерелаMarinica, 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.
Повний текст джерелаMarinica, 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.
Повний текст джерелаThis 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.
Повний текст джерелаFortineau, 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.
Повний текст джерелаAimé, 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.
Повний текст джерелаChniti, 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.
Повний текст джерелаGong, Jian, and 龔劍. "Managing uncertainty in schema matchings." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46076116.
Повний текст джерелаКниги з теми "Ontologies (artificial intelligence)"
Obrst, Leo Joseph, Terry Janssen, and W. Ceusters. Ontologies and semantic technologies for intelligence. Amsterdam, Netherlands: IOS Press, 2010.
Знайти повний текст джерелаservice), SpringerLink (Online, ed. On the Mathematics of Modelling, Metamodelling, Ontologies and Modelling Languages. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Знайти повний текст джерелаOntology representation: Design patterns and ontologies that make sense. Amsterdam: IOS Press, 2009.
Знайти повний текст джерелаFensel, Dieter. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.
Знайти повний текст джерелаOntology-driven software development. Heidelberg: Springer, 2013.
Знайти повний текст джерелаPan, Jeff Z. Ontology-Driven Software Development. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Знайти повний текст джерелаPompeu, Casanovas, Biasiotti Maria Angela, Fernández-Barrera Meritxell, and SpringerLink (Online service), eds. Approaches to Legal Ontologies: Theories, Domains, Methodologies. Dordrecht: Springer Science+Business Media B.V., 2011.
Знайти повний текст джерелаGargouri, Faiez. Ontology theory, management and design: Advanced tools and models. Hershey, PA: Information Science Reference, 2010.
Знайти повний текст джерелаNogueras, Iso Javier, Zarazaga-Soria F. Javier, and SpringerLink (Online service), eds. Terminological Ontologies: Design, Management and Practical Applications. Boston, MA: Springer Science+Business Media, LLC, 2010.
Знайти повний текст джерелаCasellas, Núria. Legal ontology engineering: Methodologies, modelling trends, and the ontology of professional judicial knowledge. Dordrecht: Springer, 2011.
Знайти повний текст джерелаЧастини книг з теми "Ontologies (artificial intelligence)"
Voronkov, Andrei. "Inconsistencies in Ontologies." In Logics in Artificial Intelligence, 19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11853886_3.
Повний текст джерелаGalitsky, Boris, Dmitry Ilvovsky, and Elizaveta Goncharova. "Relying on Discourse Trees to Extract Medical Ontologies from Text." In Artificial Intelligence, 215–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86855-0_15.
Повний текст джерелаPeñaloza, Rafael. "Introduction to Probabilistic Ontologies." In Reasoning Web. Declarative Artificial Intelligence, 1–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60067-9_1.
Повний текст джерелаCalvanese, Diego. "Query Answering over Description Logic Ontologies." In Logics in Artificial Intelligence, 1–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11558-0_1.
Повний текст джерелаPapatheodorou, Christos, and Alexandra Vassiliou. "Discovering Ontologies for e-Learning Platforms." In Advances in Artificial Intelligence, 576–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752912_72.
Повний текст джерелаBienvenu, Meghyn, Michel Leclère, Marie-Laure Mugnier, and Marie-Christine Rousset. "Reasoning with Ontologies." In 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.
Повний текст джерелаDartigues, Christel, and Parisa Ghodous. "Product Data Exchange Using Ontologies." In Artificial Intelligence in Design ’02, 617–37. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0795-4_29.
Повний текст джерелаKnorr, Matthias. "On Combining Ontologies and Rules." In Reasoning Web. Declarative Artificial Intelligence, 22–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95481-9_2.
Повний текст джерелаValls, Aida, Antonio Moreno, and Joan Borràs. "Preference Representation with Ontologies." In Multicriteria Decision Aid and Artificial Intelligence, 77–99. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118522516.ch4.
Повний текст джерелаEnsan, Faezeh, and Weichang Du. "Aspects of Inconsistency Resolution in Modular Ontologies." In Advances in Artificial Intelligence, 84–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68825-9_9.
Повний текст джерелаТези доповідей конференцій з теми "Ontologies (artificial intelligence)"
"Ontologies for Authoring, or Authoring Ontologies?" In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004330503640369.
Повний текст джерелаBettahar, Fathia, Claude Moulin, and Jean-Paul A. Barthes. "Ontologies supporting eGovernment Services." In 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341274.
Повний текст джерелаZhang, S., Y. Sun, Y. Peng, and X. Wang. "A Practical Tool for Uncertainty in OWL Ontologies." In Artificial Intelligence and Applications. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-007.
Повний текст джерелаBienvenu, Meghyn, Quentin Manière, and Michaël Thomazo. "Cardinality Queries over DL-Lite Ontologies." In 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.
Повний текст джерелаCeylan, İsmail İlkan, Thomas Lukasiewicz, Rafael Peñaloza, and Oana Tifrea-Marciuska. "Query Answering in Ontologies under Preference Rankings." In 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.
Повний текст джерелаJakob, Stefan, Alexander Jahl, Harun Baraki, and Kurt Geihs. "Generating Commonsense Ontologies with Answer Set Programming." In 13th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010191905380545.
Повний текст джерелаAnnane, Amina, Mouna Kamel, and Nathalie Aussenac-Gilles. "Comparing Business Process Ontologies for Task Monitoring." In 12th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008978706340643.
Повний текст джерелаKorotkiy, Maksym. "On the Effect of Ontologies on Quality of Web Applications." In 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341276.
Повний текст джерелаBienvenu, Meghyn, Quentin Manière, and Michaël Thomazo. "Answering Counting Queries over DL-Lite Ontologies." In 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.
Повний текст джерелаCarral, David, Irina Dragoste, and Markus Krötzsch. "Detecting Chase (Non)Termination for Existential Rules with Disjunctions." In 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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