Presentation | 2010-05-20 実空間検索メタデータとしてのソーシャルメディア(ログ活用・情報検索,ライフログ活用技術,グループウェアとネットワーク,一般) Kazuhiro SEKI, Kuniaki UEHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents our ongoing study of social media as a source of metadata of real-world objects. In particular, we focus on social bookmarks (or social tags) and investigate the their utility for information retrieval (IR). Our main research question asked in the present work is "How are social tags compared with conventional, yet reliable manual indexing from the viewpoint of IR performance?". To answer the question, we look at the biomedical literature and begin with examining basic statistics of social tags from CiteULike in comparison with Medical Subject Headings (MeSH) annotated in the Medline bibliographic database. Then, using the data, we conduct various experiments in an IR setting, which reveals that social tags work complementarily with MeSH and that retrieval performance would improve as the coverage of CiteULike grows. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Social bookmark / Controlled vocabulary / Indexing / Information retrieval |
Paper # | LOIS2010-1 |
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Committee | LOIS |
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Conference Date | 2010/5/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | |
Sub Title (in English) | |
Keyword(1) | Social bookmark |
Keyword(2) | Controlled vocabulary |
Keyword(3) | Indexing |
Keyword(4) | Information retrieval |
1st Author's Name | Kazuhiro SEKI |
1st Author's Affiliation | Organization of Advanced Science and Technology Kobe University() |
2nd Author's Name | Kuniaki UEHARA |
2nd Author's Affiliation | Graduate School of System Informatics Kobe University |
Date | 2010-05-20 |
Paper # | LOIS2010-1 |
Volume (vol) | vol.110 |
Number (no) | 42 |
Page | pp.pp.- |
#Pages | 6 |
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