Ontology Alignment for Linked Open Data

TitleOntology Alignment for Linked Open Data
Publication TypeConference Paper
Year of Publication2010
AuthorsPrateek Jain, Pascal Hitzler, Amit Sheth, Kunal Verma, Peter Z. Yeh
Conference Name9th International Semantic Web Conference
Conference LocationShanghai, China
KeywordsBLOOMS, Linked Open Data, Linked Open Data Schema Matching, ontology alignment, Schema Alignment, Wikipedia

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the idea of bootstrapping information already present on the LOD cloud. We also present a comprehensive evaluation which shows that BLOOMS outperforms state-of-the-art ontology alignment systems on LOD datasets. At the same time, BLOOMS is also competitive compared with these other systems on the Ontology Evaluation Alignment Initiative Benchmark datasets.

Full Text

Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh, 'Ontology Alignment for Linked Open Data,' In The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, (Eds.) P. Patel-Schneider, Y. Pan, P. Hitzler, P. Mika, L. Zhang, J. Pan, I. Horrocks, B. Glimm, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. Lecture Notes in Computer Science Vol. 6496. Springer, Berlin, 2010, pp. 401-416.

Editor P. Patel-Schneider



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