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 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.
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Keyword(in English) Wikipedia / Linked Open Data / Metadata / Automated Annotation / Papers / Clustering
Paper # LOIS2014-8
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Conference Date 2014/5/8(1days)
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Language JPN
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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
Date of Issue