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A New Query Processing Scheme in a Web Data Engine

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Databases in Networked Information Systems (DNIS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2544))

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Abstract

The explosion of information on the web turns the search for interested information from the web into a great challenge. In this paper, we present a system called Web Data Engine-SESQ (Search Extract Store Query) that is designed to solve this problem by integrating database techniques with search engine techniques. In contrast with traditional database systems and searching engines, SESQ is different in data model, query expression, data storage schema and the use of index.

This work was supported by National Grand Fundamental Research 973 Program of China under Grant No.1998030414.

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Reference

  1. J. Ambite, and C. Knoblock. Planning by Rewriting: Efficiently generating highquality plans. Proceedings of the 14thNational Conference on Artificial Intelligence, Providence, RI, 1997.

    Google Scholar 

  2. Y. Arens, C. A. Knoblock, and W. Shen. Query reformulation for dynamic information integration. Journal of Intelligent Information Systems, Vol. 6, 1996, 99–130.

    Article  Google Scholar 

  3. S. Chawathe, H. Garcia-Molina, J. Hammer, K. Ireland, Y. Papakonstantinou, J. Ullman, and J. Widom. The TSIMMIS Project: Integration of Heterogeneous Information Sources. Proceedings of 10th Anniversary Meeting of the Information Processing Society of Japan, Tokyo, Japan, 1994, 7–18.

    Google Scholar 

  4. Diamond, S.D. The Universal SQL Processor, Internal Johns Hopkins University Applied Physics Laboratory communication. RMI-95-005. 1995.

    Google Scholar 

  5. H. Garcia-Molina, Y. Papakonstantinou, D. Quass, A. Rajaraman, Y. Sagiv, J. Ullman, and J. Widom. The TSIMMIS Approach to Mediation: Data Models and Languages. In Proceedings of NGITS (Next Generation Information Technologies and Systems), 1995.

    Google Scholar 

  6. V. Kashyap, A. Sheth. Semantic Heterogeneity in Global Information Systems: The Role of Metadata, Context and Ontologies. M. Papzoglou, and G. Schlageter, (Eds.), Academic Press, 1997

    Google Scholar 

  7. Z. Lacroix. Retrieving and extracting web data with search views and an xml engine. In International Workshop on Data Integration over the Web in conjunction with the 13th International Conference on Advanced Information Systems Engineering (CAiSE), Interlaken, Switzerland, June 2001.

    Google Scholar 

  8. 8. Zoé Lacroix: “Object Views through Search Views of Web data sources”, International Conference on Conceptual Modeling (ER99), Paris, France, November 1999 — LNCS 1728, 176–187.

    Google Scholar 

  9. Zoé Lacroix: “Querying Annotated Scientific Data Combining Object-Oriented View and Information Retrieval”, RIAO 2000, Paris, France, April 2000

    Google Scholar 

  10. M. Levene, The Nested Universal Relation Database Model. Lecture Notes in Computer Science, vol. 595. Heidelberg, Germany: Springer-Verlag, 1992.

    MATH  Google Scholar 

  11. A. Y. Levy, A. Rajaraman, and J. J. Ordille. Querying heterogeneous information sources using source descriptions. Proceedings of the 22nd International Conference on Very Large Databases VLDB-96, Bombay, India, September 1996.

    Google Scholar 

  12. E. Mena, A. Illarramendi, V. Kashyap, and A. P. Sheth. OBSERVER: An approach for query processing in global information systems based on interoperation across pre-existing ontologies. International Journal on Distributed and Parallel Databases, Vol. 8, No. 2, April 2000, 223–271.

    Article  Google Scholar 

  13. G. Mecca, P. Merialdo, P. Atzeni, and V. Crescenzi. The Araneus guide to website development.Technical report, Dipartimento di Informatica e Automazione, Universita’ di Roma Tre, March 1999.

    Google Scholar 

  14. N. F. Noy, and D. L. Mcguinness, Ontology development 101: a guide to creating your first ontology. Knowledge Systems Laboratory (KSL) of Department of Computer Science at the University of Stanford, Stanford, USA: Technical report, KSL-01-05 (2001).

    Google Scholar 

  15. R. Ramakrishnan and J. Gehrke. Database Management Systems (Second Edition). McGraw-Hill Companies, Inc., 2000.

    Google Scholar 

  16. A.d. Vries. Content and multimedia database management systems PhD thesis, University of Twente, Enschede, The Netherlands, Dec.1999.

    Google Scholar 

  17. R. van Zwol and P.M.G. Apers, The webspace method: On the integration of database technology with information re-trieval, In proceedings of CIKM’00 (Washington, DC.), November 2000.

    Google Scholar 

  18. Z. Zhang, L Zhou etc. An ontology-based method for modeling and querying the Web data. Technique Report of Tsinghua University Database Group, November 2001.

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Zhang, Z., Xing, C., Zhou, L., Feng, J. (2002). A New Query Processing Scheme in a Web Data Engine. In: Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2002. Lecture Notes in Computer Science, vol 2544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36233-9_7

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  • DOI: https://doi.org/10.1007/3-540-36233-9_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00264-2

  • Online ISBN: 978-3-540-36233-3

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