Document retrieval from a citation database using conceptual clustering and co-word analysis.
Traditional document retrieval techniques are ineffective in finding relevant documents due to a lack of semantic understanding of relevance. In this article, two techniques are described - conceptual clustering and co-word analysis - aimed at injecting intelligence into the retrieval of documents s...
| Publicado en: | Online Information Review Vol. 28; no. 1; pp. 22 - 33 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Emerald Publishing Limited
2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106599105&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106599105 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14684527 9NA jtl: Online Information Review issn: 14684527 maglogo: N pubinfo: dt: 2004 vid: 28 iid: 1 pid: 465 pub: Emerald Publishing Limited artinfo: ui: 106599105 106599105 2005056144 10.1108/14684520410522420 106599105 ppf: 22 ppct: 11 formats: tig: atl: Document retrieval from a citation database using conceptual clustering and co-word analysis. aug: au: Hui SC Fong ACM affil: Associate Professor, School of Computer Engineering, Nanyang Technological University, Singapore sug: subj: Database Management Software Full-Text Databases Information Retrieval Abstracting and Indexing Knowbots Natural Language Processing Semantics Subject Headings ab: Traditional document retrieval techniques are ineffective in finding relevant documents due to a lack of semantic understanding of relevance. In this article, two techniques are described - conceptual clustering and co-word analysis - aimed at injecting intelligence into the retrieval of documents stored in a citation database. Performance analysis has revealed that these techniques are better than traditional lexical analysis in terms of retrieval speed and accuracy. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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