Abstract
In this paper, we propose a Web mining approach for the Semantic Web. The approach uses a search engine and the traditional web as a source of information to produce semantically rich information. In particular, we assess one community and obtain the social network and related information from the Web. As an example, we extract the social network of an academic society and show that extracted information can be incorporated into FOAF representation and utilized to measure the authoritativeness of a member in terms of social trust or individual trust. To demonstrate our Web mining approach in the real application, we show a researcher mining and retrieval system. Finally, we discuss the manner in which the Web mining approach contributes to availability to users of the Semantic Web.
Original language | English |
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Title of host publication | CEUR Workshop Proceedings |
Pages | 177-187 |
Number of pages | 11 |
Volume | 137 |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 1st Workshop on End User Aspects of the Semantic Web, UserSWeb 2005 - Heraklion, Crete, Greece Duration: 2005 May 29 → 2005 May 29 |
Other
Other | 1st Workshop on End User Aspects of the Semantic Web, UserSWeb 2005 |
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Country/Territory | Greece |
City | Heraklion, Crete |
Period | 05/5/29 → 05/5/29 |
ASJC Scopus subject areas
- Computer Science(all)