Presentation | 2014-05-16 Study on Clustering of Papers and Automated Annotation of Metadata using Linked Open Data Toshitaka MAKI, Toshihiko WAKAHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, LOD (Linked Open Data) has been attracted attention from many researchers. LOD is used to share data effectively by linking the data on the Web. LOD is an essential technology for realizing the Semantic Web. In this study, we propose new LOD using Wikipedia for effective papers searching. The IEICE knowledge discovery system (I-Scover) was developed to search the articles and publications of the IEICE last year. In this study, we propose new LOD using Wikipedia, and attempt automated annotation of papers metadata of I-Scover. Then we present the effective search by clustering papers using this LOD. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Wikipedia / Linked Open Data / Metadata / Automated Annotation / Papers / Clustering |
Paper # | LOIS2014-8 |
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Committee | LOIS |
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Conference Date | 2014/5/8(1days) |
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Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Study on Clustering of Papers and Automated Annotation of Metadata using Linked Open Data |
Sub Title (in English) | |
Keyword(1) | Wikipedia |
Keyword(2) | Linked Open Data |
Keyword(3) | Metadata |
Keyword(4) | Automated Annotation |
Keyword(5) | Papers |
Keyword(6) | Clustering |
1st Author's Name | Toshitaka MAKI |
1st Author's Affiliation | Graduate School of Information and Communication Engineering, Fukuoka Institute of Technology() |
2nd Author's Name | Toshihiko WAKAHARA |
2nd Author's Affiliation | Graduate School of Information and Communication Engineering, Fukuoka Institute of Technology |
Date | 2014-05-16 |
Paper # | LOIS2014-8 |
Volume (vol) | vol.114 |
Number (no) | 32 |
Page | pp.pp.- |
#Pages | 5 |
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