An ontology-based webpage classification approach for the knowledge grid environment

Dong, H; Hussain, FK; Chang, E

An ontology-based webpage classification approach for the knowledge grid environment

Dong, H Hussain, FK

Chang, E

Permalink

Publication Type:: Conference Proceeding
Citation:: SKG 2009 - 5th International Conference on Semantics, Knowledge, and Grid, 2009, pp. 120 - 127
Issue Date:: 2009-12-01

Closed Access

	Filename	Description	Size
	2011000940OK.pdf	Published version	365.53 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Dong, H	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, E	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	SKG 2009 - 5th International Conference on Semantics, Knowledge, and Grid, 2009, pp. 120 - 127	en_US
dc.identifier.isbn	9780769538105	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30653
dc.description.abstract	With the rapid growth of the amount of information available in the Web, webpage classification technologies are widely 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 Space Model 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. © 2009 IEEE.	en_US
dc.relation.ispartof	SKG 2009 - 5th International Conference on Semantics, Knowledge, and Grid	en_US
dc.relation.isbasedon	10.1109/SKG.2009.69	en_US
dc.title	An ontology-based webpage classification approach for the knowledge grid environment	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Zhuhai, PEOPLES R CHINA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

With the rapid growth of the amount of information available in the Web, webpage classification technologies are widely 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 Space Model 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. © 2009 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/30653