Dynamic OWL Ontology Matching Using Lexical WordNet-Based Measures

• Autorzy: Tomasz Boiński , Henryk Krawczyk

Warianty tytułu

Łączenie ontologii OWL z wykorzystaniem miar bazujących na WordNet

• Języki publikacji: EN

Abstrakty

EN

Ontologies are often used as a means of describing knowledge and the domain of operation of modern applications. A need arises for the ability to quickly match those ontologies to enable interoperability of such systems. This paper presents an extension to Noy and McGuiness' ontology construction methodology which should improve ontology interoperability and a lexicon-based algorithm for merging and aligning of such ontologies stored in the OWL language. The proposed similarity levels are presented and the proposed algorithm is described. Results of tests showing the algorithm possibilities are presented. (original abstract)

Ontologie coraz częściej służą jako mechanizm opisu zarówno zgormadzonej wiedzy, jak i samej domeny, na której operuje aplikacja. Ze względu na mnogość dostępnych rozwiązań zachodzi konieczność umożliwienia dynamicznego łączenia takich ontologii, co umożliwi współpracę korzystających z nich aplikacji. Publikacja prezentuje rozszerzenie metodologii wytwarzania ontologi opracowanej przez Noya i McGuinessa, które zwiększa szansę na współpracę pomiędzy systemami wykorzystującymi ontologię. Zaprezentowano również bazujący na leksykalnej analizie algorytm łączenia i odwzorowywania ontologii w języku OWL. Zaproponowane miary podobieństwa pomiędzy elementami ontologii zostały opisane w pracy. Zaprezentowano również wyniki eksperymentów potwierdzające możliwości algorytmu. (abstrakt oryginalny)

Słowa kluczowe

EN

Ontology; Knowledge; Research results

PL

Ontologia; Wiedza; Wyniki badań

• Czasopismo: Studia i Materiały Polskiego Stowarzyszenia Zarządzania Wiedzą
• Rocznik: 2012
• Tom: 60
• Strony: 4--15

Twórcy

autor

Tomasz Boiński

• Gdańsk University of Technology

autor

Henryk Krawczyk

• Gdansk University of Technology

Bibliografia

• [1] Avizienis, A., Laprie, J.C., Randell, B., and Landwehr, C. Basic concepts and taxonomy of dependable and secure computing. Dependable and Secure Computing, IEEE Transactions on, 1(1):11-33, 2004.
• [2] Boiński, T.: Procedures for merging and alignment of domain ontologies [in Polish], PhD thesis, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 2012.
• [3] Boiński, T., Budnik, Ł., Jakowski, A., Mroziński, J. and Mazurkiewicz, K.: OCS - domain oriented ontology creation system, Polish Journal of Environmental Studies, Vol. 18, No. 3B, pp. 35-38, 2009.
• [4] Cycorp Inc. (2010), Cyc [Online]. Available at: http://www.cyc.com/cyc
• [5] De Nicola, A., Missikoff, M. and Navigli, R.: A software engineering approach to ontology building, Information Systems, Vol. 34, No. 2, pp. 258-275, 2009.
• [6] ENISA (2010), Enisa: a European Union Agency - Glossary of Risk Management [Online]. Available at: http://www.enisa.europa.eu/act/rm/cr/risk-management-inventory/glossary
• [7] Euzenat, J. (2006): EON Ontology Alignment Contest [Online]. Available at: http://oaei.ontologymatching.org/2006/
• [8] Euzenat, J. and Valtchev, P.: Similarity-based ontology alignment in OWL-lite, ECAI 2004: 16th European Conference on Artificial Intelligence, August 22-27, 2004, Valencia, Spain: including Prestigious Applicants of Intelligent Systems (PAIS 2004): proceedings, 2004.
• [9] Fellbaum, C.: WordNet: An electronic lexical database, The MIT press, 1998
• [10] Firesmith, D. G.: A Taxonomy of safety-related requirements, International Workshop on High Assurance Systems (RHAS'05), 2005.
• [11] Firesmith, D.G.: A taxonomy of security-related requirements, International Workshop on High Assurance Systems (RHAS'05), 2005.
• [12] Gennari, J. H., Musen, M. A., Fergerson, R.W., Grosso, W. E., Crubézy, M., Eriksson, H., Noy, N. F. and Tu, S.W.: The evolution of Protégé: an environment for knowledge-based systems development, International Journal of Human-Computer Studies Vol. 58, No. 1, pp. 89-123, 2003.
• [13] Gruber, T. R. et al. A translation approach to portable ontology specifications, Knowledge acquisition, Vol. 5, p. 199, 1993.
• [14] Guttman, B. and Roback, E. A.: An introduction to computer security: the NIST handbook, DIANE Publishing, 1995.
• [15] Hovy, E.: Combining and standardizing large-scale, practical ontologies for machine translation and other uses, Proceedings of the 1st International Conference on Language Resources and Evaluation (LREC), pp. 535-542, 1998.
• [16] Jian, N., Hu, W., Cheng, G. and Qu, Y.: Falcon-AO: Aligning ontologies with Falcon, Integrating Ontologies Workshop Proceedings, 2005.
• [17] Levenshtein, V. I.: Binary codes capable of correcting deletions, insertions, and reversals, Soviet Physics Doklady, Vol. 10, pp. 707-710, 1966.
• [18] Lin, D.: An information-theoretic definition of similarity, Proceedings of the 15th International Conference on Machine Learning, Vol. 1, pp. 296-304, 1998.
• [19] McGuinness, D. L., Van Harmelen, F. et al. OWL web ontology language overview, W3C recommendation, Vol. 10, pp. 2004-03, 2004.
• [20] Miller, G. A. and Charles, W. G.: Contextual correlates of semantic similarity, Language and cognitive processes, Vol. 6, No 1, pages 1-28, 1991
• [21] Niles, I. and Pease, A.: Towards a standard upper ontology, Proceedings of the international conference on Formal Ontology in Information Systems, pp. 2-9, 2001.
• [22] Noy, N. F., Fergerson, R. and Musen, M.: The knowledge model of Protege-2000: Combining interoperability and flexibility, Knowledge Engineering and Knowledge Management Methods, Models, and Tools, pp. 69-82, 2000.
• [23] Noy, N. F., McGuinness, D. L. et al. Ontology development 101: A guide to creating your first ontology, 2001.
• [24] Princeton University (2010), WordNet Database Statistics [Online]. Available at: http://wordnet.princeton.edu/wordnet/man/wnstats.7WN.html
• [25] Russel, S. and Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice hall. 2003
• [26] Sommerville, I.: Software Engineering. 8th, Harlow, UK: Addison-Wesley, 2006
• [27] Suárez-Figueroa, M. C. et al (2009): D5. 4.2: Revision and extension of the neon methodology for building contextualized ontology networks, NeOn project [Online]. Available at: http://www. neon-project. org