Topic-Centric Querying of Web Information Resourcest

Date

2001-01-01

Author

Altıngövde, İsmail Sengör
Ulusoy, Ö.
Özsoyoğlu, G.
Özsoyoğlu, Z.M.

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© Springer-Verlag Berlin Heidelberg 2001.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.

Subject Keywords

Information resource, User preference, User profile, Expert advice, Detail level

URI

https://hdl.handle.net/11511/56899

DOI

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

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

İ. S. Altıngövde, Ö. Ulusoy, G. Özsoyoğlu, and Z. M. Özsoyoğlu, “Topic-Centric Querying of Web Information Resourcest,” 2001, vol. 2113, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56899.