Presentation 2005-07-13
Web Search Personalization based on Semantic Relationships between Terms Extracted from Personal Documents
Hiroaki OHSHIMA, Satoshi OYAMA, Katsumi TANAKA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a method to extract semantic relationships between terms which appear in documents in a personal computer, and its application to Web search personalization. Nowadays, a lot of personal information is stored in a personal computer. We have proposed the method to extract the semantic relationships from general documents classified in directory structures. In this paper, we treat email messages as personal information resources. As email messages are usually not classified, some classification structures are need to be extracted with using meta data in email messages. Then, we proposes Web search personalization using the extracted personal knowledge.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Knowledge Extracting / Personalization / Web Search
Paper # DE2005-44
Date of Issue

Conference Information
Committee DE
Conference Date 2005/7/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Web Search Personalization based on Semantic Relationships between Terms Extracted from Personal Documents
Sub Title (in English)
Keyword(1) Knowledge Extracting
Keyword(2) Personalization
Keyword(3) Web Search
1st Author's Name Hiroaki OHSHIMA
1st Author's Affiliation Department of Social Informatics, Graduate School of Informatics, Kyoto University()
2nd Author's Name Satoshi OYAMA
2nd Author's Affiliation Department of Social Informatics, Graduate School of Informatics, Kyoto University
3rd Author's Name Katsumi TANAKA
3rd Author's Affiliation Department of Social Informatics, Graduate School of Informatics, Kyoto University
Date 2005-07-13
Paper # DE2005-44
Volume (vol) vol.105
Number (no) 171
Page pp.pp.-
#Pages 6
Date of Issue