Presentation 2005-07-14
Hybrid Web Mining for RDF
Kotaro NAKAYAMA, Takahiro HARA, Shojiro NISHIO,
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Abstract(in English) In order to improve Semantic Web Mining, as a precondition, there have to be enough data which are "well"-structured by linking to other web resources. However, Semantic Web data in real world, such as RSS, are just semi-structured documents in most cases, because the main part of content is still mixed with text data. In this paper, we propose "Hybrid RDF Mining, " a new method to mine the structured and semi-structured part in RDF at the same time. Our approach accomplished Semantic Web Mining for semi-structured data such as RSS.
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Keyword(in English) Semantic Web / RDF / Web Mining
Paper # DE2005-80
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Committee DE
Conference Date 2005/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hybrid Web Mining for RDF
Sub Title (in English)
Keyword(1) Semantic Web
Keyword(2) RDF
Keyword(3) Web Mining
1st Author's Name Kotaro NAKAYAMA
1st Author's Affiliation Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Takahiro HARA
2nd Author's Affiliation Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Shojiro NISHIO
3rd Author's Affiliation Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
Date 2005-07-14
Paper # DE2005-80
Volume (vol) vol.105
Number (no) 172
Page pp.pp.-
#Pages 6
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