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dc.contributor.authorDong, Hai
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorChang, Elizabeth
dc.contributor.editorTharam Dillon, Geoffrey Fox and Hai Zhuge
dc.date.accessioned2017-01-30T11:42:14Z
dc.date.available2017-01-30T11:42:14Z
dc.date.created2010-03-25T20:02:40Z
dc.date.issued2009
dc.identifier.citationDong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2009. An ontology-based webpage classification approach for the knowledge grid environment, in Dillon, T. and Fox, G. and Zhuge, H. (ed), International Conference on Semantics, Knowledge and Grid (SKG 2009), Oct 12 2009, pp. 120-127.Zhuhai, China: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/14222
dc.identifier.doi10.1109/SKG.2009.69
dc.description.abstract

With the rapid growth of the amount of information available in the Web, webpage classification technologies arewidely employed by many search engines in order to formulate user queries and make users? search tasks easier. Knowledge Grid is a new form of Web environment, in which a Resource Space Model is employed in order to classify available semantic documents within the Web environment. However, it is well known that the semantic documents are proportionally small in relation to the whole Web documents, and the Resource SpaceModel cannot process these Web documents without semantic supports. In order to solve the above issue, in this paper, we present a novel ontology-based webpage classification method for the Knowledge Grid environment, which utilizes generated metadata from webpages as the intermedium to classify the webpages by ontology concepts. We design a conceptual model of a Webpage Classification Agent and build the prototype in a chosen domain. A series of experiments have been conducted using the prototype in order to evaluate the conceptual model. Conclusions about the evaluation are drawn in the final section.

dc.publisherIEEE Computer Society
dc.titleAn ontology-based webpage classification approach for the knowledge grid environment
dc.typeConference Paper
dcterms.source.startPage120
dcterms.source.endPage127
dcterms.source.titleProceedings of the international conference on semantics, knowledge and grid (SKG 2009)
dcterms.source.seriesProceedings of the international conference on semantics, knowledge and grid (SKG 2009)
dcterms.source.isbn9780769538105
dcterms.source.conferenceInternational Conference on Semantics, Knowledge and Grid (SKG 2009)
dcterms.source.conference-start-dateOct 12 2009
dcterms.source.conferencelocationZhuhai, China
dcterms.source.placeChina
curtin.note

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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