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Querying document bases by content, structure and properties

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Foundations of Intelligent Systems (ISMIS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1609))

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Abstract

Much information is nowadays stored electronically in document bases. Users retrieve information from these document bases by browsing and querying. While a large number of tools are available nowadays, not much work has been done on tools that allow for the use of the characteristics of documents as well as background knowledge during the search for information. In this paper we propose a query language that allows for querying documents using content information, information about the logical structure of the documents as well as information about properties of the documents. We also present a prototype implementation that supports the query language as well as search that takes background knowledge into account.

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References

  1. Abiteboul, S., Quass, D., McHugh, J., Widom, J., Wiener, J., ‘The Lorel Query Language for Semistructured Data’, International Journal on Digital Libraries, Vol 1 (1), pp. 68–88, 1997.

    Article  Google Scholar 

  2. Buneman, P., Davidson, S., Hillebrand, G., Suciu, D., ‘A Query Language and Optimization Techniques for Unstructured Data’, Proceedings of SIGMOD, 1996.

    Google Scholar 

  3. Christophides, V., Abiteboul, S., Cluet, S., Scholl, M. ‘From Structure Documents to Novel Query Facilities’, Proceedings of SIGMOD, pp 1–22, 1994.

    Google Scholar 

  4. Fernandez, M., Florescu, D., Levy, A., Suciu, D. ‘A Query Language for a Web-Site Management System’, SIGMOD Record, Vol 26(3), pp 4–11, 1997.

    Article  Google Scholar 

  5. Kilpeläinen, P., Manilla, H., ‘Retrieval from Hierarchical Texts by Partial Patterns’, Proceedings of SIGIR, pp 214–222, 1993.

    Google Scholar 

  6. Lambrix, P., Part-Whole Reasoning in an Object-Centered Framework, Lecture Notes in Artificial Intelligence, 1999. to appear.

    Google Scholar 

  7. Lambrix, P., Padgham, L., ‘A Description Logic Model for Querying Knowledge Bases for Structured Documents’, Proceedings of ISMIS, pp 72–83, 1997.

    Google Scholar 

  8. Lambrix, P., Shahmehri, N., ‘TRIFU: The Right Information For yoU’, Proceedings of the 31st Hawaii International Conference on System Sciences, pp 505–512, 1998.

    Google Scholar 

  9. Lambrix, P., Shahmehri, N., Åberg, J. ‘Towards Creating a Knowledge Base for World-Wide Web Documents’, Proceedings of the IASTED International Conference on Intelligent Information Systems, pp 507–511, 1997.

    Google Scholar 

  10. MacLeod I. ‘A Query Language for Retrieving Information from Hierarchic Text Structures’, The Computer Journal, Vol 34(3), pp 254–264, 1991.

    Article  Google Scholar 

  11. Navarro, G., Baeza-Yates, R., ‘Proximal Nodes: A Model to Query Document Databases by Content and Structure’, ACM Transactions on Information Systems Vol 15(4), pp 400–435, 1997.

    Article  Google Scholar 

  12. Sacks-Davis, R., Arnold-Moore, T., Zobel, J., ‘Database systems for structured documents’, Proceedings of the International Symposium on Advanced Database Technologies and Their Integration, pp 272–283, Nara, Japan, 1994.

    Google Scholar 

  13. Wu, S., Manber, U., “Fast Text Searching Allowing Errors’, Communications of the ACM, Vol 35 (10), pp 93–91, 1992.

    Article  Google Scholar 

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Zbigniew W. Raś Andrzej Skowron

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© 1999 Springer-Verlag Berlin Heidelberg

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Lambrix, P., Shahmehri, N., Jacobsen, S. (1999). Querying document bases by content, structure and properties. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095097

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  • DOI: https://doi.org/10.1007/BFb0095097

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65965-5

  • Online ISBN: 978-3-540-48828-6

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