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Merging and Aligning Ontologies in dl-Programs

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Rules and Rule Markup Languages for the Semantic Web (RuleML 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3791))

Abstract

The language of dl-programs is a latest effort in developing an expressive representation for Web-based ontologies. It allows to build answer set programming (ASP) on top of description logic and thus some attractive features of ASP can be employed in the design of the Semantic Web architecture. In this paper we first generalize dl-programs by allowing multiple knowledge bases and then accordingly, define the answer set semantics for the dl-programs. A novel technique called forgetting is developed in the setting of dl-programs and applied to ontology merging and aligning.

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References

  1. Antoniou, G., Wagner, G.: A rule-based approach to the semantic web (preliminary report). In: Proceedings of the 2nd Workshop on Rules and Rule Markup Languages for the Semantic Web (RuleML2003), pp. 111–120 (2003)

    Google Scholar 

  2. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.: The Description Logic Handbook. Cambridge University Press, Cambridge (2002)

    Google Scholar 

  3. Connolly, D., van Harmelen, F., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F., Stein, L.A.: Daml+oil reference description. W3C Note (December 18, 2001), http://www.w3.org/tr/2001/note-daml+oilreference-20011218.html

  4. Dean, M., Connolly, D., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D., Patel-Schneider, P., Stein, L.: Owl web ontology language reference, 3C Recommendation ( February10 2004), http://www.w3.org/tr/2004/rec-owl-ref-20040210/

  5. Donini, F., Lenzerini, M., Nardi, D., Schaerf, A.: AL-log: Integrating datalog and description logics. Journal of Intelligent Information Systems 10(3), 227–252 (1998)

    Article  Google Scholar 

  6. Eiter, T., Leone, N., Mateis, C., Pfeifer, G., Scarcello, F.: A kr system dlv: Progress report, comparisons and benchmarks. In: Proceedings of the Sixth International Conference on the Principles of Knowledge Representation and Reasoning, pp. 406–417. Morgan Kaufmann Publishers, San Francisco (1998)

    Google Scholar 

  7. Eiter, T., Lukasiewicz, T., Schindlauer, R., Tompits, H.: Combining answer set programming with description logics for the semantic web. In: Proceedings of the 9th International Conference on Principles of Knowledge Representation and Reasoning, pp. 141–151 (2004)

    Google Scholar 

  8. Fikes, R., Farquhar, A.: Large-scale repositories of highly expressive reusable knowledge. IEEE Intelligent Systems 14(2), 73–79 (1999)

    Article  Google Scholar 

  9. Gelfond, M., Lifschitz, V.: Logic programs with classical negation. In: Proceedings of the International Conference on Logic Programming, pp. 579–597 (1990)

    Google Scholar 

  10. Grau, B., Parsia, B., Sirin, E.: Combining owl ontologies using e-connections. Technical Report TR-2005-01, University of Maryland Institute for Advanced Computer Studies (UMIACS) (January 2005)

    Google Scholar 

  11. Grosof, B., Horrocks, I., Volz, R., Decker, S.: Description logic programs: Combining logic programs with description logics. In: Proceedings of the 12th International World Wide Web Conference, pp. 48–57 (2003)

    Google Scholar 

  12. Lang, J., Liberatore, P., Marquis, P.: Propositional independence: Formula-variable independence and forgetting. Journal of Artificial Intelligence Research 18, 391–443 (2003)

    MATH  MathSciNet  Google Scholar 

  13. Lenat, D.: Cyc: A large-scale investment in knowledge infrastructure. Communications of ACM 38(11), 33–38 (1995)

    Article  Google Scholar 

  14. Niemelä, I., Simons, P.: Smodels: An implementation of the stable model and well-founded semantics for normal logic programs. In: Dix, J., Furbach, U., Nerode, A. (eds.) Proceedings of the Fourth International Conference on Logic Programming and Nonmonotonic Reasoning, pp. 420–429. Springer, Heidelberg (1997)

    Google Scholar 

  15. Noy, N., Musen, M.: An algorithm for merging and aligning ontologies: Automation and tool support. In: Proceedings of the Workshop on Ontology Management at AAAI 1999 (1999)

    Google Scholar 

  16. Swift, T.: Deduction in ontologies via asp. In: Proceedings of the 7th International Conference on Logic Programming and Nonmonotonic Reasoning, Springer, Heidelberg (2004)

    Google Scholar 

  17. Wang, K., Sattar, A., Su, K.: A theory of forgetting in logic programming. In: Proceedings of the AAAI National Conference on Artificial Intelligence, AAAI Press, Menlo Park (2005)

    Google Scholar 

  18. Zhang, Y., Foo, N., Wang, K.: Solving logic program conflicts through strong and weak forgettings. In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 627–632. The Professional Book Centre, USA (2005)

    Google Scholar 

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Wang, K., Antoniou, G., Topor, R., Sattar, A. (2005). Merging and Aligning Ontologies in dl-Programs. In: Adi, A., Stoutenburg, S., Tabet, S. (eds) Rules and Rule Markup Languages for the Semantic Web. RuleML 2005. Lecture Notes in Computer Science, vol 3791. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11580072_13

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  • DOI: https://doi.org/10.1007/11580072_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29922-6

  • Online ISBN: 978-3-540-32270-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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