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Characterising Concept’s Properties in Ontologies

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2175))

Abstract

This paper presents and motivates an extended ontology conceptual model which represents explicitly semantic information about concepts. This model results from explicitly representingin formation which precisely characterises the concept’s properties and expected ambiguities, including which properties are prototypical of a concept and which are exceptional, the behaviour of properties over time and the degree of applicability of properties to subconcepts. This enriched conceptual model permits a precise characterisation of what is represented by class membership mechanisms and helps a knowledge engineer to determine, in a straightforward manner, the meta-properties holding for a concept. Moreover, this enriched semantics facilitates the development of reasoningm echanisms on the state of affairs that instantiate the ontologies. Such reasoning mechanisms can be used in order to solve ambiguities that can arise when ontologies are integrated and one needs to reason with the integrated knowledge.

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References

  1. A. Bernaras, I. Laresgoiti, and J. Corera. Buildingan d reusingon tologies for electrical network applications. In Proceedings of the 12th European Conference on Artificial Intelligence (ECAI), pages 298–302, 1996.

    Google Scholar 

  2. V.K. Chaudhri, A. Farquhar, R. Fikes, P.D. Karp, and J.P. Rice. OKBC: A programmatic foundation for knowledge base interoperability. In Proceedings of the Fifteenth American Conference on Artificial Intelligence (AAAI-98), pages 600–607, Madison, Wisconsin, 1998. AAAI Press/The MIT Press.

    Google Scholar 

  3. N. Fridman 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 

  4. N. Guarino, M. Carrara, and P. Giaretta. An ontology of meta-levelcategories. In Principles of Knowledge representation and reasoning: Proceedings of the fourth international conference (KR94). Morgan Kaufmann, 1994.

    Google Scholar 

  5. 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 

  6. A. Gómez-Pérez. Knowledge sharing and reuse. In J. Liebowitz, editor, The Handbook of Applied Expert Systems. CRC Pres LLC, 1998.

    Google Scholar 

  7. A. Gómez-Pérez. Ontological engineering: A state of the arta. Expert Update, 2(3):33–43, Autumn 1999.

    Google Scholar 

  8. N. Guarino and C. Welty. A formal ontology of properties. In R. Dieng, editor, Proceedings of the 12th EKAW Conference, volume LNAI 1937. Springer Verlag, 2000.

    Google Scholar 

  9. S.A. Kripke. Naming and necessity. Harvard University Press, 1980.

    Google Scholar 

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

    Article  Google Scholar 

  11. O. Lassila and D. McGuinness. The Role of Frame-Based Representation on the Semantic Web, volume Vol. 6(2001), number not yet determined of Linkping Electronic Articles in Computer and Information Science. ISSN 1401-9841. 2001.

    Google Scholar 

  12. D.L. McGuinness. Conceptual modellingfor distributed ontology environments. In Proceedings of the Eighth International Conference on Conceptual Structures Logical, Linguistic, and Computational Issues (ICCS 2000), 2000.

    Google Scholar 

  13. D.L. McGuinness, R.E. Fikes, J. Rice, and S. Wilder. An environment for merging and testing large ontologies. In Proceedings of KR-2000. Principles of Knowledge Representation and Reasoning. Morgan-Kaufman, 2000.

    Google Scholar 

  14. 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 

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

    Article  Google Scholar 

  16. E.H. Rosch. Reclaimingcon cepts. Journal of Consciousness Studies, 6(11-12):61–77, 1999.

    Google Scholar 

  17. 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 

  18. J.R. Searle. Intentionality. Cambridge University Press, Cambridge, 1983.

    Google Scholar 

  19. V.A.M. Tamma and T.J.M Bench-Capon. Supportingi nheritance mechanisms in ontology representation. In R. Dieng, editor, Proceedings of the 12th EKAW Conference, volume LNAI 1937, pages 140–155. Springer Verlag, 2000.

    Google Scholar 

  20. 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 148–182. IOS Press, 1998.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Tamma, V.A.M., Bench-Capon, T.J.M. (2001). Characterising Concept’s Properties in Ontologies. In: Esposito, F. (eds) AI*IA 2001: Advances in Artificial Intelligence. AI*IA 2001. Lecture Notes in Computer Science(), vol 2175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45411-X_20

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  • DOI: https://doi.org/10.1007/3-540-45411-X_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42601-1

  • Online ISBN: 978-3-540-45411-3

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