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 |
|---|---|
| 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 |
|---|---|
| Country | Greece |
| City | Heraklion, Crete |
| Period | 05/5/29 → 05/5/29 |
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ASJC Scopus subject areas
- Computer Science(all)
Cite this
Web mining approach for a user-centered semantic Web. / Mori, Junichiro; Matsuo, Yutaka; Hashida, Koichi; Ishizuka, Mitsuru.
CEUR Workshop Proceedings. Vol. 137 2005. p. 177-187.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Web mining approach for a user-centered semantic Web
AU - Mori, Junichiro
AU - Matsuo, Yutaka
AU - Hashida, Koichi
AU - Ishizuka, Mitsuru
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84883630991&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883630991&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883630991
VL - 137
SP - 177
EP - 187
BT - CEUR Workshop Proceedings
ER -