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Supporting Inheritance Mechanisms in Ontology Representation

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Knowledge Engineering and Knowledge Management Methods, Models, and Tools (EKAW 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1937))

Abstract

Research in the ontology engineering field is becoming increasingly important, especially in the area of knowledge sharing. Many research efforts aim to reuse and integrate ontologies that have already been developed for different purposes. This gives rise to the need for suitable architectures for knowledge sharing. This paper analyses a specific aspect of knowledge sharing; that is the integration of ontologies in a way such that different inheritance mechanisms within the ontology are supported, and focuses on con icts due to multiple inheritance. We first illustrate the problems that inheritance can cause within ontologies together with different approaches presented in the literature to deal with multiple inheritance con icts and then propose a semi-automatic approach to deal with such con icts.

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References

  1. R.A. Bourne and S. Parsons. Maximum entropy and variable strength defaults. In T. Dean, editor, Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), pages 50–55. Morgan Kaufmann Publishers Inc., 1999.

    Google Scholar 

  2. R.J. Brachman. On the epistemological status of semantic networks. In R.J. Brachman and H.J. Levesque, editors, Readings in Knowledge Representation, pages 191–215. Morgan Kaufmann, Los Altos, CA, 1985.

    Google Scholar 

  3. B. Carpenter. Skeptical and credulous default unification with application to templates and inheritance. In T. Briscoe, A. Copestake, and V. de Paiva, editors, Default reasoning and Lexical Organization. Cambridge University Press, 1993.

    Google Scholar 

  4. V.K. Chaudhri, A. Farquhar, R. Fikes, P.D. Karp, and J.P. Rice. The generic frame protocol 2.0. Technical report, Stanford University, 1997.

    Google Scholar 

  5. R. Davis, H. Shrobe, and P. Szolovits. What is a knowledge representation? AI Magazine, 14(1):17–33, 1993.

    Google Scholar 

  6. R. Dieng and S. Hug. Comparison of ≪ personal ontologies ≫ represented trough conceptual graphs. In H. Prade, editor, Proceedings of the 13th European Conference of Artificial Intelligence (ECAI), pages 341–345. John Wiley & Sons, 1998.

    Google Scholar 

  7. N. Friedman Noy and M.A. Musen. SMART: Automated support for ontology merging and alignment. In Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling and Management (KAW), Banff, Canada, 1999.

    Google Scholar 

  8. M.R. Genesereth and N.J. Nillson. Logical foundations of Artificial Intelligence. Morgan Kauffman, 1987.

    Google Scholar 

  9. M. Goldszmidt and J. Pearl. Qualitative probabilistic for default reasoning, belief revision, and causal modelling. Artificial Intelligence, 84(1–2):57–112, 1996.

    Article  MathSciNet  Google Scholar 

  10. T. R. Gruber. A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2):199–220, 1993.

    Article  Google Scholar 

  11. N. Guarino. The role of identity conditions in ontology design. In V.R. Benjamins, editor, Proceedings of the IJCAI’99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, volume 18, Amsterdam, 1999. CEUR Publications.

    Google Scholar 

  12. J.F. Horty. Some direct theories of nonmonotonic inheritance. In D. Gabbay, C. Hogger, and J. Robinson, editors, Handbook of Logics in Artificial intelligence and Logic Programming, Vol. 3: Nonmonotonic Reasoning and Uncertain Reasoning, pages 111–187. Oxford University Press, Oxford, 1994.

    Google Scholar 

  13. J.F. Horty, R.H. Thomason, and D.S. Touretzky. A skeptical theory of inheritance in nonmonotonic semantic networks. Artificial intelligence, 42:311–348, 1990.

    Article  MATH  MathSciNet  Google Scholar 

  14. R. Kowalski and M. Sergot. A logic-based calculus of events. New Generation Computing, 4:67–95, 1986.

    Article  Google Scholar 

  15. J. McCarthy. Applications of circumscription to formalizing common sense knowledge. Artificial Intelligence, 28:89–116, 1986.

    Article  MathSciNet  Google Scholar 

  16. G.A. Miller. Nouns in WordNet: a lexical inheritance system. International Journal of Lexicography, 3(4):245–264, 1990.

    Article  Google Scholar 

  17. M. Minsky. A framework for representing knowledge. In A. Collins and E.H. Smith, editors, Cognitive Science, pages 191–215. Morgan Kaufmann, Los Altos, CA, 1992.

    Google Scholar 

  18. L. Morgenstern. Inheritance comes of age: Applying nonmonotonic techniques to problems in industry. Artificial Intelligence, 103:1–34, 1998.

    Article  MathSciNet  Google Scholar 

  19. J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kauffman, San Mateo, CA, revised second printing edition, 1988.

    Google Scholar 

  20. H.S. Pinto, A. Gómez-Pérez, and J.P. Martins. Some issues on ontology integration. In V.R. Benjamins, editor, Proceedings of the IJCAI’99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, volume 18, pages 7.1–7.11, Amsterdam, 1999. CEUR Publications.

    Google Scholar 

  21. R. Reiter. A logic for default reasoning. Artificial Intelligence, 13:81–132, 1980.

    Article  MATH  MathSciNet  Google Scholar 

  22. E.H. Rosch. Cognitive representations of semantic categories. Journal of Experimental Psychology: General, 104:192–233, 1975.

    Article  Google Scholar 

  23. R. Studer, V.R. Benjamins, and D. Fensel. Knowledge engineering, principles and methods. Data and Knowledge Engineering, 25(1–2):161–197, 1998.

    Article  MATH  Google Scholar 

  24. D.S. Touretzky. The Mathematics of Inheritance Systems. Morgan Kaufmann, 1986.

    Google Scholar 

  25. P.R.S. Visser, D.M. Jones, T.J.M. Bench-Capon, and M.J.R. Shave. Assessing heterogeneity by classifying ontology mismatches. In N. Guarino, editor, Formal Ontology in Information Systems. Proceedings FOIS’98, Trento, Italy, pages 148–162, Amsterdam, The Netherlands, 1998. IOS Press.

    Google Scholar 

  26. P.R.S. Visser and V.A.M. Tamma. An experience with ontology-based agent clustering. In V.R. Benjamins, editor, Proceedings of the IJCAI’99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, volume 18, pages 12.1–12.13, Amsterdam, 1999. CEUR Publications.

    Google Scholar 

  27. W.A. Woods. What’s in a link: Foundations for semantic networks. In D. G. Bobrow and A. Collins, editors, Representation and Understanding, pages 35–82. Academic Press, New York, 1975.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Liverpool, Chadwick Building Peach Street, L69 7ZF, Liverpool, UK

    Valentina A.M. Tamma & Trevor J.M. Bench-Capon

Authors
  1. Valentina A.M. Tamma
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  2. Trevor J.M. Bench-Capon
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Editor information

Editors and Affiliations

  1. INRIA, 2004 route des Lucioles, BP 93, 06902, Sophia Antipolis Cedex, France

    Rose Dieng  & Olivier Corby  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Tamma, V.A., Bench-Capon, T.J. (2000). Supporting Inheritance Mechanisms in Ontology Representation. In: Dieng, R., Corby, O. (eds) Knowledge Engineering and Knowledge Management Methods, Models, and Tools. EKAW 2000. Lecture Notes in Computer Science(), vol 1937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39967-4_11

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  • DOI: https://doi.org/10.1007/3-540-39967-4_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41119-2

  • Online ISBN: 978-3-540-39967-4

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