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Article: Testing a Cancer Meta Spider

TitleTesting a Cancer Meta Spider
Authors
Issue Date2003
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ijhcs
Citation
International Journal Of Human Computer Studies, 2003, v. 59 n. 5, p. 755-776 How to Cite?
AbstractAs in many other applications, the rapid proliferation and unrestricted Web-based publishing of health-related content have made finding pertinent and useful healthcare information increasingly difficult. Although the development of healthcare information retrieval systems such as medical search engines and peer-reviewed medical Web directories has helped alleviate this information and cognitive overload problem, the effectiveness of these systems has been limited by low search precision, poor presentation of search results, and the required user search effort. To address these challenges, we have developed a domain-specific meta-search tool called Cancer Spider. By leveraging post-retrieval document clustering techniques, this system aids users in querying multiple medical data sources to gain an overview of the retrieved documents and locating answers of high quality to a wide spectrum of health questions. The system presents the retrieved documents to users in two different views: (1) Web pages organized by a list of key phrases, and (2) Web pages clustered into regions discussing different topics on a two-dimensional map (self-organizing map). In this paper, we present the major components of the Cancer Spider system and a user evaluation study designed to evaluate the effectiveness and efficiency of our approach. Initial results comparing Cancer Spider with NLM Gateway, a premium medical search site, have shown that they achieved comparable performances measured by precision, recall, and F-measure. Cancer Spider required less user searching time, fewer documents that need to be browsed, and less user effort. © 2003 Elsevier Ltd. AIl rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/177926
ISSN
2015 Impact Factor: 1.476
2015 SCImago Journal Rankings: 0.815
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Hen_US
dc.contributor.authorFan, Hen_US
dc.contributor.authorChau, Men_US
dc.contributor.authorZeng, Den_US
dc.date.accessioned2012-12-19T09:40:52Z-
dc.date.available2012-12-19T09:40:52Z-
dc.date.issued2003en_US
dc.identifier.citationInternational Journal Of Human Computer Studies, 2003, v. 59 n. 5, p. 755-776en_US
dc.identifier.issn1071-5819en_US
dc.identifier.urihttp://hdl.handle.net/10722/177926-
dc.description.abstractAs in many other applications, the rapid proliferation and unrestricted Web-based publishing of health-related content have made finding pertinent and useful healthcare information increasingly difficult. Although the development of healthcare information retrieval systems such as medical search engines and peer-reviewed medical Web directories has helped alleviate this information and cognitive overload problem, the effectiveness of these systems has been limited by low search precision, poor presentation of search results, and the required user search effort. To address these challenges, we have developed a domain-specific meta-search tool called Cancer Spider. By leveraging post-retrieval document clustering techniques, this system aids users in querying multiple medical data sources to gain an overview of the retrieved documents and locating answers of high quality to a wide spectrum of health questions. The system presents the retrieved documents to users in two different views: (1) Web pages organized by a list of key phrases, and (2) Web pages clustered into regions discussing different topics on a two-dimensional map (self-organizing map). In this paper, we present the major components of the Cancer Spider system and a user evaluation study designed to evaluate the effectiveness and efficiency of our approach. Initial results comparing Cancer Spider with NLM Gateway, a premium medical search site, have shown that they achieved comparable performances measured by precision, recall, and F-measure. Cancer Spider required less user searching time, fewer documents that need to be browsed, and less user effort. © 2003 Elsevier Ltd. AIl rights reserved.en_US
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ijhcsen_US
dc.relation.ispartofInternational Journal of Human Computer Studiesen_US
dc.titleTesting a Cancer Meta Spideren_US
dc.typeArticleen_US
dc.identifier.emailChau, M: mchau@hkucc.hku.hken_US
dc.identifier.authorityChau, M=rp01051en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S1071-5819(03)00118-6en_US
dc.identifier.scopuseid_2-s2.0-0242366065en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0242366065&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume59en_US
dc.identifier.issue5en_US
dc.identifier.spage755en_US
dc.identifier.epage776en_US
dc.identifier.isiWOS:000186386100009-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridChen, H=8871373800en_US
dc.identifier.scopusauthoridFan, H=37020938800en_US
dc.identifier.scopusauthoridChau, M=7006073763en_US
dc.identifier.scopusauthoridZeng, D=7102694556en_US

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