An ontology data matching method for Web information integration

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
Metrics:
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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.
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