Academic literature on the topic 'Ontologies (artificial intelligence)'
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Journal articles on the topic "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.
Full textDeagustini, 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.
Full textZhang, 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.
Full textMars, Nicolaas J. I. "Comparison of implemented ontologies." Knowledge Engineering Review 10, no. 1 (March 1995): 67–68. http://dx.doi.org/10.1017/s026988890000727x.
Full textMAYFIELD, JAMES. "Ontologies and text retrieval." Knowledge Engineering Review 17, no. 1 (March 2002): 71–75. http://dx.doi.org/10.1017/s026988890200036x.
Full textAndreasen, 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.
Full textToro, 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.
Full textAlejandro 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.
Full textBatet, 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.
Full textRANGANATHAN, 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.
Full textDissertations / Theses on the topic "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.
Full textGandon, Fabien. "Distributed artificial intelligence and knowledge management : ontologies and multi-agent systems for a corporate semantic web." Nice, 2002. http://www.theses.fr/2002NICE5773.
Full textCe 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.
Full textMarinica, 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.
Full textMarinica, 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.
Full textThis 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.
Full textFortineau, 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.
Full textAimé, 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.
Full textChniti, 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.
Full textGong, 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.
Full textBooks on the topic "Ontologies (artificial intelligence)"
Obrst, Leo Joseph, Terry Janssen, and W. Ceusters. Ontologies and semantic technologies for intelligence. Amsterdam, Netherlands: IOS Press, 2010.
Find full textservice), SpringerLink (Online, ed. On the Mathematics of Modelling, Metamodelling, Ontologies and Modelling Languages. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textOntology representation: Design patterns and ontologies that make sense. Amsterdam: IOS Press, 2009.
Find full textFensel, Dieter. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.
Find full textOntology-driven software development. Heidelberg: Springer, 2013.
Find full textPan, Jeff Z. Ontology-Driven Software Development. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textPompeu, 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.
Find full textGargouri, Faiez. Ontology theory, management and design: Advanced tools and models. Hershey, PA: Information Science Reference, 2010.
Find full textNogueras, 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.
Find full textCasellas, Núria. Legal ontology engineering: Methodologies, modelling trends, and the ontology of professional judicial knowledge. Dordrecht: Springer, 2011.
Find full textBook chapters on the topic "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.
Full textGalitsky, 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.
Full textPeñaloza, 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.
Full textCalvanese, 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.
Full textPapatheodorou, 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.
Full textBienvenu, 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.
Full textDartigues, 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.
Full textKnorr, 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.
Full textValls, 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.
Full textEnsan, 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.
Full textConference papers on the topic "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.
Full textBettahar, 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.
Full textZhang, 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.
Full textBienvenu, 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.
Full textCeylan, 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.
Full textJakob, 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.
Full textAnnane, 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.
Full textKorotkiy, 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.
Full textBienvenu, 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.
Full textCarral, 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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