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      Topic-Centric Querying of Web Information Resourcest

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      Author
      Altıngövde, İsmail Şengör
      Özel, Selma A.
      Ulusoy, Özgür
      Özsoyoğlu G.
      Özsoyoğlu, Z.M.
      Date
      2001
      Source Title
      Database and Expert Systems Applications
      Print ISSN
      0302-9743
      Publisher
      Springer, Berlin, Heidelberg
      Volume
      2113
      Pages
      699 - 711
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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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 user- preference-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. © Springer-Verlag Berlin Heidelberg 2001.
      Keywords
      Computational linguistics
      Expert systems
      Information science
      Metadata
      Query languages
      Query processing
      Expert knowledge
      HTML documents
      Information resource
      Metadata information
      Personalized information
      User information
      Web information
      Web-based information
      Information use
      Permalink
      http://hdl.handle.net/11693/27625
      Published Version (Please cite this version)
      https://doi.org/10.1007/3-540-44759-8_68
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      • Department of Computer Engineering 1368
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