Metadata-based modeling of information resources on the web
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, vol.55, no.2, pp.97-110, 2004 (SCI-Expanded, SSCI, Scopus)
- Publication Type: Article / Article
- Volume: 55 Issue: 2
- Publication Date: 2004
- Doi Number: 10.1002/asi.10350
- Journal Name: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
- Page Numbers: pp.97-110
- Open Archive Collection: AVESIS Open Access Collection
- Middle East Technical University Affiliated: No
Abstract
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).