Abstract
Ontologies are an important technology for the Semantic Web and many ontologies have already been developed. Many ontologies also contain overlapping information and to be able to use them together effectively, we need to align them. Some of the current alignment techniques use information about the structure of the ontologies, but they have not produced good results in evaluations. We propose an approach where, in contrast to the other approaches, structural information is used as a filtering method in the alignment process. We evaluate the approach in terms of quality and performance.

URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-035

BibTeX:

@inproceedings{REWERSE-RP-2006-035,
	author = {Bi Chen and He Tan and Patrick Lambrix},
	title = {Structure-Based Filtering for Ontology Alignment},
	booktitle = {Proceedings of 15th International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, Manchester, UK (26th--28th June 2006)},
	year = {2006},
	pages = {364--369},
	url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-035}
}