Abstract
Nowadays the utility of multi-viewpoint approach is widely acknowledged in many areas, such as ontologies domain. The two concepts ontology and viewpoint are complementary, indeed the ontology represents the knowledge shared by multiple users and the viewpoint represents the domain knowledge that is relevant at a given viewpoint. With the coupling of these tow notions, we are talking about multi-viewpoints ontology. Multi-viewpoints ontology gives the same universe of discourse several partial descriptions such that each one is on a particular viewpoint. Due to the decentralized nature of the Web, there always exist multiple multi-viewpoints ontologies for overlapped domains and even for the same domain. Therefore, multi-viewpoints ontology alignment, is necessary to establish interoperation between Web application using different multi-veiwpoints ontologies. In this paper, we approach the problem of aligning multi-viewpoints ontologies. We focus firstly on the definition of multi-viewpoints ontology in description logics extended by a stamping mechanism. Then, we introduce the notion of multi-viewpoints in the alignment process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Rath, A.S., Devaurs, D., Lindstaedt, S.N.: An Ontology-Based Approach for Detecting Knowledge Intensive Tasks. Journal of Digital Information Management 9(1), 9–18 (2011)
Kossmann, M., Odeh, M., Gillies, A., Watts, S.: Ontology-driven Requirements Engineering with Reference to the Aerospace Industry. Journal of E-Technology 1(1), 22–30 (2010)
Falquet, G., Mottaz, J.C.L.: Navigation Hypertexte dans une Ontologie Multi-Points de Vue. In: NîmesTIC 2001, France (2001)
Hemam, M., Boufaïda, Z.: MVP-OWL: a multi-viewpoints ontology language for the Semantic Web. International Journal of Reasoning-based Intelligent Systems (IJRIS) 3(3/4), 147–155 (2011)
Falquet, G., Mottaz, J.C.L.: A Model for the Collaborative Design of Multi-Point-of-View Terminological Knowledge Bases. In: Dieng, R., Matta, N. (eds.) Knowledge Management and Organizational Memories. Kluwer (2002); Preliminary version published in Proceedings of the Knowledge Management and Organizational Memory workshop of the International Joint Conference on Artificial Intelligence, Stockholm(1999)
Benslimane, D., Arara, A., Falquet, G., Maamar, Z., Thiran, P., Gargouri, F.: Contextual Ontologies: Motivations, Challenges, and Solutions. In: Yakhno, T., Neuhold, E.J. (eds.) ADVIS 2006. LNCS, vol. 4243, pp. 168–176. Springer, Heidelberg (2006)
Euzenat, J., Shvaiko, P.: Ontology matching. Springer, Heidelberg (2007)
Rahm, E., Bernstein, P.: A survey of approaches to automatic schema matching. The LDB Journal 10(4), 334–350 (2001)
Shvaiko, P., Euzenat, J.: A Survey of Schema-Based Matching Approaches. In: Spaccapietra, S. (ed.) Journal on Data Semantics IV. LNCS, vol. 3730, pp. 146–171. Springer, Heidelberg (2005)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation and Applications, ch. 2, pp. 43–95. Cambridge University Press (2003)
Baader, F., Sattler, U.: An overview of tableau algorithms for description logics. Studia Logica 69(1), 5–40 (2001)
Calvanese, D., Giacomo, G.D., Lenzerini, M., Nardi, D.: Reasoning in expressive description logics. In: Robinson, A., Voronkov, A. (eds.) Handbook of Automated Reasoning, ch. 23, pp. 1581–1634. ElsevierScience Publishers (North-Holland), Amsterdam (2001)
Baader, F., Horrocks, I., Sattler, U.: Chapter 3 Description Logics. In: van Harmelen, F., Lifschitz, V., Porter, B. (eds.) Handbook of Knowledge Representation. Elsevier (2007)
Horrocks, I., Sattler, U.: Ontology Reasoning in the SHOQ(D) Description Logic. In: Proceeding of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 2001), pp. 199–204 (2001)
Bouquet, P., Euzenat, J., Franconi, E., Serafini, L., Stamou, G., Tessaris, S.: Specification of a common framework for characterizing alignment. Deliverable 2.2.1, Knoledge Web NoE (2004)
Euzenat, J., Shvaiko, P.: Ontology matching. Springer, Berlin (2007)
Noy, N., Musen, M.: PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In: Proceedings of the National Conference on Artificial Intelligence (AAAI) (2000)
Noy, N., Musen, M.A.: Smart: Automated Support for Oontology Merging and Alignme. In: Proceedings of the Twelfth Banff Workshop on Knowledge Acquistion, Modeling, and Management, Banff Algeberta (1999)
Ichise, R.,Takeda, H., Honiden, S.: Rule Induction for Concept Hierarchy Alignment. In: Proceedings of the Workshop on Ontology Learning at the 17th International Joint Conference on Artificial Intelligence (IJCAI) (2001)
Kalfoglou, Y., Hu, B.: CROSI Mapping System (CMS) Results of the 2005 Ontology Alignment Contest. In: K-CAP Integrating Ontologies Workshop 2005, Banff, Alberta, Canada (2005)
Hemam, M., Boufaida, Z.: Représentation d’ontologies multi-points de vue: une approche basée sur la logique de descriptions. In: 20es Journées Francophones d’Ingénierie des Connaissances (IC 2009) (2009)
Benchikha, F., Boufaida, M.: The Viewpoint Mechanism for Object-oriented Databases Modelling, Distribution and Evolution. Journal of Computing and Information Technology 15, 95–110 (2007)
Euzenat, J., Valtchev, P.: An integrative proximity measure for ontology alignment. In: Proceedings of the 1st Intl. Workshop on Semantic Integration, vol. 82 (2003)
Shi, F., Li, J., Tang, J., Xie, G., Li, H.: Actively Learning Ontology Matching via User Interaction. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 585–600. Springer, Heidelberg (2009)
Zimmermann, A., Euzenat, J.: Three Semantics for Distributed Systems and Their Relations with Alignment Composition. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 16–29. Springer, Heidelberg (2006)
Zimmermann, A., Duc, C.: Reasonig with a Network of Aligned Ontologies (2008)
Djakhdjakha, L., Hemam, M., Boufaida, Z.: Une approche d’alignment d’une ontologie multi-points de vue et une ontologie classique. In: International Conference on Applied Informatics, Bordj Bou Arreridj, Algeria (2009)
Djakhdjakha, L., Hemam, M.: L’optimisation d’alignement d’une ontologie multi-points de vue et une ontologie classique. In COSI 2010, Algeria (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Djakhdjakha, L., Hemam, M., Boufaida, Z. (2012). Multi-Viewpoints Ontology Alignment Based on Description Logics. In: Benlamri, R. (eds) Networked Digital Technologies. NDT 2012. Communications in Computer and Information Science, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30567-2_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-30567-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30566-5
Online ISBN: 978-3-642-30567-2
eBook Packages: Computer ScienceComputer Science (R0)