Presentation 2011-01-28
Comparative Study on Social Tags and Controlled Vocabularies for Biomedical Information Retrieval
Huawei QIN, Kazuhiro SEKI, Kuniaki UEHARA,
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Abstract(in English) This paper focuses on social bookmarks (or social tags) and investigates 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 IR settings, which reveal that retrieval performance can be improved by using social tags as additional indices and that the quality of social tags can be measured by the number of CiteULike users who use the same tags.
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Keyword(in English) Social bookmark / Controlled vocabulary / Indexing / Information retrieval
Paper # NLC2010-43
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Committee NLC
Conference Date 2011/1/20(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparative Study on Social Tags and Controlled Vocabularies for Biomedical Information Retrieval
Sub Title (in English)
Keyword(1) Social bookmark
Keyword(2) Controlled vocabulary
Keyword(3) Indexing
Keyword(4) Information retrieval
1st Author's Name Huawei QIN
1st Author's Affiliation Graduate School of Engineering, Kobe University()
2nd Author's Name Kazuhiro SEKI
2nd Author's Affiliation Organization of Advanced Science and Technology, Kobe University
3rd Author's Name Kuniaki UEHARA
3rd Author's Affiliation Graduate School of System Informatics, Kobe University
Date 2011-01-28
Paper # NLC2010-43
Volume (vol) vol.110
Number (no) 400
Page pp.pp.-
#Pages 6
Date of Issue