Presentation | 2005-07-14 Hybrid Web Mining for RDF Kotaro NAKAYAMA, Takahiro HARA, Shojiro NISHIO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Semantic Web / RDF / Web Mining |
Paper # | DE2005-80 |
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Committee | DE |
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Conference Date | 2005/7/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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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 |
Date of Issue |