Ontology-style web usage model for semantic Web applications

Nguyen, TTS; Lu, HY; Lu, J

Ontology-style web usage model for semantic Web applications

Nguyen, TTS Lu, HY

Lu, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, 2010, pp. 784 - 789
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Nguyen, TTS	en_US
dc.contributor.author	Lu, HY https://orcid.org/0000-0001-5655-0237	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, 2010, pp. 784 - 789	en_US
dc.identifier.isbn	9781424481354	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16179
dc.description.abstract	Current semantic recommender systems aim to exploit the website ontologies to produce valuable web recommendations. However, Web usage knowledge for recommendation is presented separately and differently from the domain ontology, this leads to the complexity of using inconsistent knowledge resources. This paper aims to solve this problem by proposing a novel ontology-style model of Web usage to represent the non-taxonomic visiting relationship among the visited pages. The output of this model is an ontology-style document which enables the discovered web usage knowledge to be sharable and machine-understandable in semantic Web applications, such as recommender systems. A case study is presented to show how this model is used in conjunction of the web usage mining and web recommendation. Two real-world datasets are used in the case study. © 2010 IEEE.	en_US
dc.relation.ispartof	Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10	en_US
dc.relation.isbasedon	10.1109/ISDA.2010.5687169	en_US
dc.title	Ontology-style web usage model for semantic Web applications	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Egypt	en_US
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	open_access
pubs.publication-status	Published	en_US

Abstract:

Current semantic recommender systems aim to exploit the website ontologies to produce valuable web recommendations. However, Web usage knowledge for recommendation is presented separately and differently from the domain ontology, this leads to the complexity of using inconsistent knowledge resources. This paper aims to solve this problem by proposing a novel ontology-style model of Web usage to represent the non-taxonomic visiting relationship among the visited pages. The output of this model is an ontology-style document which enables the discovered web usage knowledge to be sharable and machine-understandable in semantic Web applications, such as recommender systems. A case study is presented to show how this model is used in conjunction of the web usage mining and web recommendation. Two real-world datasets are used in the case study. © 2010 IEEE.

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http://hdl.handle.net/10453/16179