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A Plausibility Description Logics for Reasoning with Information Sources Having Different Formats and Structures

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Foundations of Intelligent Systems (ISMIS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2366))

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Abstract

The aim of this paper is to illustrate how a probabilistic Description Logics, called DL P, can be exploited for reasoning about information sources characterized by heterogeneous formats and structures. The paper first introduces DL P syntax and semantics. Then, a DL P-based approach is illustrated for inferring complex knowledge assertions from information sources characterized by heterogeneities in formats and representational structures. The thus obtained complex knowledge assertions can be exploited for constructing a user profile and for improving the quality of present Web search tools.

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References

  1. D. Beneventano, S. Bergamaschi, C. Sartori, and M. Vincini. ODB-Tools: A description logics based tool for schema validation and semantic query optimization in object oriented databases. In Proc. of Advances in Artificial Intelligence, 5th Congress of the Italian Association for Artificial Intelligence (AI*IA’ 97), pages 435–438, Roma, Italy, 1997. Lecture Notes in Computer Science, Springer Verlag.

    Google Scholar 

  2. S. Bergamaschi, S. Castano, and M. Vincini. Semantic integration of semistruc-tured and structured data sources. SIGMOD Record, 28(1):54–59, 1999.

    Article  Google Scholar 

  3. D. Calvanese, G. De Giacomo, and M. Lenzerini. Representing and reasoning on XML documents: a description logic approach. Journal of Logic and Computation, 9(3):295–318, 1999.

    Article  MATH  MathSciNet  Google Scholar 

  4. D. Calvanese, G. De Giacomo, M. Lenzerini, D. Nardi, and R. Rosati. Source integration in data warehousing. In Proc. of Workshop on Data Warehouse Design and OLAP Technology, pages 192–197, Wien, Austria, 1998. IEEE Computer Society.

    Google Scholar 

  5. T. Catarci and M. Lenzerini. Representing and using interschema knowledge in cooperative information systems. Journal of Intelligent and Cooperative Information Systems, 2(4):375–398, 1993.

    Article  Google Scholar 

  6. A. Levy, A. Rajaraman, and J. Ordille. Querying heterogeneous information sources using source descriptions. In Proc. of International Conference on Very Large Data Bases (VLDB’96), pages 251–262, Bombay, India, 1996. Morgan Kaufmann.

    Google Scholar 

  7. A. Levy and M.C. Rousset. Combining horn rules and description logics in CARIN. Artificial Intelligence, 104(1-2):165–209, 1998.

    Article  MATH  MathSciNet  Google Scholar 

  8. J. Madhavan, P.A. Bernstein, and E. Rahm. Generic schema matching with cupid. In Proc. of International Conference on Very Large Data Bases (VLDB 2001), pages 49–58, Roma, Italy, 2001. Morgan Kaufmann.

    Google Scholar 

  9. L. Palopoli, D. Rosaci, G. Terracina, and D. Ursino. Supporting user-profiled semantic web-oriented search. In Proc. of International Conference on Cooperative Information Agents (CIA 2001), pages 26-31, Modena, Italy, 2001. Lecture Notes in Artificial Intelligence, Springer Verlag.

    Google Scholar 

  10. L. Palopoli, D. Saccà, and D. Ursino. DLP: a description logic for extracting and managing complex terminological and structural properties from database schemes. Information Systems, 24(5):403–425, 1999.

    Article  Google Scholar 

  11. L. Palopoli, G. Terracina, and D. Ursino. A graph-based approach for extracting terminological properties of elements of XML documents. In Proc. of International Conference on Data Engineering (ICDE 2001), pages 330–340, Heidelberg, Germany, 2001. IEEE Computer Society.

    Google Scholar 

  12. G. Terracina and D. Ursino. Deriving synonymies and homonymies of object classes in semi-structured information sources. In Proc. of International Conference on Management of Data (COMAD 2000), pages 21–32, Pune, India, 2000. McGraw Hill.

    Google Scholar 

  13. W.A. Woods and J.G. Schmolze. The KL-ONE family. Computer & Mathematics with Applications, 23(2-5):133–177, 1991.

    Article  Google Scholar 

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Palopoli, L., Terracina, G., Ursino, D. (2002). A Plausibility Description Logics for Reasoning with Information Sources Having Different Formats and Structures. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_7

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  • DOI: https://doi.org/10.1007/3-540-48050-1_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43785-7

  • Online ISBN: 978-3-540-48050-1

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