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Topic-Centric Querying of Web Information Resources

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Database and Expert Systems Applications (DEXA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

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Abstract

This paper deals with the problem of modeling web information resources using expert knowledge and personalized user information, and querying them in terms of topics and topic relationships. We propose a model for web information resources, and a query language SQL-TC (Topic-Centric SQL) to query the model. The model is composed of web-based information resources (XML or HTML documents on the web), expert advice repositories (domain-expert-specified metadata for information resources), and personalized information about users (captured as user profiles, that indicate users’ preferences as to which expert advice they would like to follow, and which to ignore, etc).

The query language SQL-TC makes use of the metadata information provided in expert advice repositories and embedded in information resources, and employs user preferences to further refine the query output. Query output objects/tuples are ranked with respect to the (expert-judged and userpreference-revised) importance values of requested topics/metalinks, and the query output is limited by either top n-ranked objects/tuples, or objects/tuples with importance values above a given threshold, or both.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Bilkent University, Ankara, Turkey

    İ. S. Altingövde, S. A. özel & ö. Ulusoy

  2. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, 44106

    G. özsoyoğlu & Z. M. özsoyoğlu

Authors
  1. İ. S. Altingövde
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  2. S. A. özel
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  3. ö. Ulusoy
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  4. G. özsoyoğlu
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  5. Z. M. özsoyoğlu
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Editor information

Editors and Affiliations

  1. University of Klagenfurt, IFI -IWAS Universitaetsstr. 65, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Faculty of Electrical Engineering, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic

    Jiri Lazansky

  3. School of Computer and Information Science, University of South Australia, Mawson Lakes Campus, Mawson Lakes, SA, 5095

    Gerald Quirchmayr

  4. Department of Information Systems, Technical University of Munich, Orleanstr. 34, 81667, Munich, Germany

    Pavel Vogel

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© 2001 Springer-Verlag Berlin Heidelberg

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Altingövde, İ.S., özel, S.A., Ulusoy, ö., özsoyoğlu, G., özsoyoğlu, Z.M. (2001). Topic-Centric Querying of Web Information Resources. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_68

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  • DOI: https://doi.org/10.1007/3-540-44759-8_68

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

  • eBook Packages: Springer Book Archive

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