ScholarWiki system for knowledge indexing and retrieval
Identifieur interne : 000301 ( Istex/Corpus ); précédent : 000300; suivant : 000302ScholarWiki system for knowledge indexing and retrieval
Auteurs : Xiaozhong Liu ; Jian Qin ; Miao ChenSource :
- Proceedings of the American Society for Information Science and Technology [ 0044-7870 ] ; 2011.
Abstract
The goal of this research is to develop a tri‐dimensional metadata model and implement this model through the ScholarWiki system to combine the machine‐induced, user‐enhanced metadata for more effective knowledge discovery and information retrieval. The tri‐dimensional model captures the Structural, Descriptive, and Referential (SDR) metadata and incorporates them into a social media platform—ScholarWiki system. By allowing low‐barrier participation, scholars (both as authors and users) can participate in the knowledge and metadata editing and enhancing process and benefit from more accurate and effective information retrieval. The ScholarWiki system utilizes machine‐learning techniques that can automatically produce self‐enhanced metadata through learning the structural metadata that scholars contribute. The cumulated machine learning will add intelligence to automatically enhance and update the publication metadata Wiki pages.
Url:
DOI: 10.1002/meet.2011.14504801230
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ISTEX:DE9539520AE12F226F25E1F54DC4E20A755A639CLe document en format XML
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The tri‐dimensional model captures the Structural, Descriptive, and Referential (SDR) metadata and incorporates them into a social media platform—ScholarWiki system. By allowing low‐barrier participation, scholars (both as authors and users) can participate in the knowledge and metadata editing and enhancing process and benefit from more accurate and effective information retrieval. The ScholarWiki system utilizes machine‐learning techniques that can automatically produce self‐enhanced metadata through learning the structural metadata that scholars contribute. 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The cumulated machine learning will add intelligence to automatically enhance and update the publication metadata Wiki pages.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>ScholarWiki system for knowledge indexing and retrieval</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>ScholarWiki system for knowledge indexing and retrieval</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>ScholarWiki system for knowledge indexing and retrieval</title></titleInfo><name type="personal"><namePart type="given">Xiaozhong</namePart><namePart type="family">Liu</namePart><affiliation>School of Library and Information Science, Indiana, University Bloomington, Bloomington, IN 47405</affiliation><affiliation>E-mail: iiu237@indiana.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jian</namePart><namePart type="family">Qin</namePart><affiliation>School of Information Studies, Syracuse University, Syracuse NY 13244</affiliation><affiliation>E-mail: jqin@syr.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Miao</namePart><namePart type="family">Chen</namePart><affiliation>School of Information Studies, Syracuse University, Syracuse NY 13244</affiliation><affiliation>E-mail: mchen14@syr.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">5</extent><extent unit="references">6</extent></physicalDescription><abstract lang="en">The goal of this research is to develop a tri‐dimensional metadata model and implement this model through the ScholarWiki system to combine the machine‐induced, user‐enhanced metadata for more effective knowledge discovery and information retrieval. 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