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Metadata-based modeling of information resources on the web

Ozel, SA
Altıngövde, İsmail Sengör
Ulusoy, O
Ozsoyoglu, G
Ozsoyoglu, ZM
This paper deals with the problem of modeling Web information resources using expert knowledge and personalized user information for improved Web searching capabilities. We propose a "Web information space" model, which is composed of Web-based information resources (HTML/XML [Hypertext Markup Language/Extensible Markup Language] documents on the Web), expert advice repositories (domain-expert-specified meta-data for information resources), and personalized information about users (captured as user profiles that indicate users' preferences about experts as well as users' knowledge about topics).