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Article: Anchor point indexing in web document retrieval

TitleAnchor point indexing in web document retrieval
Authors
Issue Date2000
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5326
Citation
Ieee Transactions On Systems, Man And Cybernetics Part C: Applications And Reviews, 2000, v. 30 n. 3, p. 364-373 How to Cite?
AbstractTraditional World Wide Web search engines, such as Alta Vista.com, index and recommend individual Web pages to assist users in locating relevant documents. As the Web grows, however, the number of matching pages increases at a tremendous rate. Users are often overwhelmed by the large answer set recommended by the search engines. Also, if a matching document is a hypertext, the document structure is destroyed and the individual pages that compose the document are returned instead. The logical starting point of the hyperdocument is thus hidden among the large basket of matching pages. Users need to spend a lot of effort browsing through the pages to locate the starting point, a very time consuming process. This paper studies the anchor point indexing problem. The set of anchor points of a given user query is a small set of key pages from which the larger set of documents that are relevant to the query can be easily reached. The use of anchor points help solve the problems of huge answer set and low precision suffered by most search engines by considering the hyperlink structures of the relevant documents, and by providing a summary view of the result set.
Persistent Identifierhttp://hdl.handle.net/10722/43652
ISSN
2014 Impact Factor: 2.171
References

 

DC FieldValueLanguage
dc.contributor.authorKao, Ben_HK
dc.contributor.authorLee, Jen_HK
dc.contributor.authorNg, CYen_HK
dc.contributor.authorCheung, Den_HK
dc.date.accessioned2007-03-23T04:51:18Z-
dc.date.available2007-03-23T04:51:18Z-
dc.date.issued2000en_HK
dc.identifier.citationIeee Transactions On Systems, Man And Cybernetics Part C: Applications And Reviews, 2000, v. 30 n. 3, p. 364-373en_HK
dc.identifier.issn1094-6977en_HK
dc.identifier.urihttp://hdl.handle.net/10722/43652-
dc.description.abstractTraditional World Wide Web search engines, such as Alta Vista.com, index and recommend individual Web pages to assist users in locating relevant documents. As the Web grows, however, the number of matching pages increases at a tremendous rate. Users are often overwhelmed by the large answer set recommended by the search engines. Also, if a matching document is a hypertext, the document structure is destroyed and the individual pages that compose the document are returned instead. The logical starting point of the hyperdocument is thus hidden among the large basket of matching pages. Users need to spend a lot of effort browsing through the pages to locate the starting point, a very time consuming process. This paper studies the anchor point indexing problem. The set of anchor points of a given user query is a small set of key pages from which the larger set of documents that are relevant to the query can be easily reached. The use of anchor points help solve the problems of huge answer set and low precision suffered by most search engines by considering the hyperlink structures of the relevant documents, and by providing a summary view of the result set.en_HK
dc.format.extent165921 bytes-
dc.format.extent25600 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5326en_HK
dc.relation.ispartofIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviewsen_HK
dc.rights©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleAnchor point indexing in web document retrievalen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1094-6977&volume=30&issue=3&spage=364&epage=373&date=2000&atitle=Anchor+point+indexing+in+Web+document+retrievalen_HK
dc.identifier.emailKao, B:kao@cs.hku.hken_HK
dc.identifier.emailCheung, D:dcheung@cs.hku.hken_HK
dc.identifier.authorityKao, B=rp00123en_HK
dc.identifier.authorityCheung, D=rp00101en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/5326.885118en_HK
dc.identifier.scopuseid_2-s2.0-0034240604en_HK
dc.identifier.hkuros57296-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034240604&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume30en_HK
dc.identifier.issue3en_HK
dc.identifier.spage364en_HK
dc.identifier.epage373en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridKao, B=35221592600en_HK
dc.identifier.scopusauthoridLee, J=7601456046en_HK
dc.identifier.scopusauthoridNg, CY=36747473900en_HK
dc.identifier.scopusauthoridCheung, D=34567902600en_HK

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