An ontology data matching method for Web information integration

Wang, C; Lu, J; Zhang, G

An ontology data matching method for Web information integration

Wang, C Lu, J

Zhang, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008, 2008, pp. 208 - 213
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Wang, C	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008, 2008, pp. 208 - 213	en_US
dc.identifier.isbn	9781605583495	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10794
dc.description.abstract	The emerging Semantic Web relies on the development of ontologies and the deployment of data annotated by ontologies. For a certain domain with a suitable ontology developed, its ontology annotated data (or simply ontology data) from different sources is often overlapping. Similar to a data warehousing process that transforms and merges data from different databases, an integration over the Semantic Web data sources needs to match relevant ontology data among them. This study develops a matching method to address the issue of ontology data matching. This method is different from other data matching or merging methods applied to database or data warehouse cleansing in that it employs more similarity measurements by exploring ontology features. Our experiments show that this proposed method increases matching accuracy. Copyright 2008 ACM.	en_US
dc.relation.ispartof	Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008	en_US
dc.relation.isbasedon	10.1145/1497308.1497349	en_US
dc.title	An ontology data matching method for Web information integration	en_US
dc.type	Conference Proceeding
utslib.for	080605 Decision Support and Group Support Systems	en_US
dc.location.activity	Linz, Austria	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	closed_access
pubs.publication-status	Published	en_US

Abstract:

The emerging Semantic Web relies on the development of ontologies and the deployment of data annotated by ontologies. For a certain domain with a suitable ontology developed, its ontology annotated data (or simply ontology data) from different sources is often overlapping. Similar to a data warehousing process that transforms and merges data from different databases, an integration over the Semantic Web data sources needs to match relevant ontology data among them. This study develops a matching method to address the issue of ontology data matching. This method is different from other data matching or merging methods applied to database or data warehouse cleansing in that it employs more similarity measurements by exploring ontology features. Our experiments show that this proposed method increases matching accuracy. Copyright 2008 ACM.

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

http://hdl.handle.net/10453/10794