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A Logical Formalization of Semistructured Data Models

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Book cover Foundations of Intelligent Systems (ISMIS 2002)

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

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Abstract

Semistructured data has attracted much attention in database research lately. New data models, query languages and systems have been developed. However, very little research has been done on formally defined semantics for the new data models and query languages. As a consequence, some aspects of the meaning of expressions in the database and answers to queries are not completely understood. In this paper we propose a semantics for semistructured data based on a modal logic framework used to give semantics to feature structures. A semistructured database is seen as inducing a certain model, which is then used to evaluate queries posed to the database in a first-order language. The main advantage of this approach is to give a formal basis for analyzing some possibly conflicting views of semistructured data as a model for partial information.

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References

  1. Serge Abiteboul, P. Buneman and D. Suciu Data on the Web: From Relations to Semistructured Data and XML, Morgan Kaufmann, 1999.

    Google Scholar 

  2. Badia, A. A Logical Formalization of Semistructured Data Models, Technical Report, available from http://date.spd.louisville.edu/badia/Research.html.

  3. Badia, A. and Kumar Madria, S. Cooperative Query Answering with Semistructured Data, poster session in DASFAA’2000.

    Google Scholar 

  4. Blackburn, P. Representation, Reasoning, and Relational Structures: A Hybrid Logic Manifesto, Proceedings of the 1st Method for Modalities Workshop, Amsterdam, Areces, C., Franconi, E., Gore R., de Rijke, M., Schlingloff, H., editors. Also in Special Issue of the Logic Journal of the IGPL, to appear.

    Google Scholar 

  5. Buneman, P. and Davidson, S. and Fernandez, M. and Suciu, D., Adding Structure to Unstructured Data, in Proceedings of ICDT, 1997.

    Google Scholar 

  6. Catell, R. G., Object Data Management, Addison-Wesley, 1994.

    Google Scholar 

  7. Chellas, B. Modal Logic: An Introduction, Cambridge University Press, 1980.

    Google Scholar 

  8. Christiansen, H. and Larsen, H.L. and Andreasen, T., Proceedings of the 1996 Workshop on Flexible Query Answering Systems, Roskilde University Center, 1996.

    Google Scholar 

  9. Larsen, H.L. and Andreasen, T., Proceedings of the 1994 Workshop on Flexible Query Answering Systems, Roskilde University Center, 1994.

    Google Scholar 

  10. Gaasterland, T. and Godfrey, P. and Minker, J., An Overview of Cooperative Answering, Journal of Intelligent Information Systems, Kluwer Academic Publishers, 1, 1992

    Google Scholar 

  11. Kanza, Y. and Nutt, W. and Sagiv, Y., Incomplete Answers for Queries over Semistructured Data, Proceedings of KRDB, 1998

    Google Scholar 

  12. Kasper, J., Feature Structures, PhD. thesis, University of Michigan, 1987.

    Google Scholar 

  13. McHugh, J. and Abiteboul, S. and Goldman, R. and Quass, D. and Widom, J., Lore: A Database Management System for Semistructured Data, SIGMOD Record, volume 26, 1997.

    Google Scholar 

  14. Papakonstantinou, Y. and Garcia-Molina, H. and Widom, J., Object Exchange Across Heterogeneous Information Sources, in Proceedings of the 11th International Conference on Data Engineering, 1995.

    Google Scholar 

  15. Special Section on Advanced XML Data Processing, SIGMOD Record, vol. 30, n. 3, September 2001.

    Google Scholar 

  16. Ullman, A. Principles of Database and Knowledge-Base Systems, vol. 1, Computer Science Press, 1988.

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Badia, A. (2002). A Logical Formalization of Semistructured Data Models. 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_51

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  • DOI: https://doi.org/10.1007/3-540-48050-1_51

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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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