Scalable Cleanup of Information Extraction Data Using Ontologies

J. Dolby, J. Fan, A. Fokoue, A. Kalyanpur, A. Kershenbaum, L. Ma, W. Murdock, K. Srinivas, and C. Welty. Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea , volume 4825 of LNCS, page 99-112. Berlin, Heidelberg, Springer Verlag, (November 2007)


The approach of using ontology reasoning to cleanse the output of information extraction tools was first articulated in SemantiClean. A limiting factor in applying this approach has been that ontology reasoning to find inconsistencies does not scale to the size of data produced by information extraction tools. In this paper, we describe techniques to scale inconsistency detection, and illustrate the use of our techniques to produce a consistent subset of a knowledge base with several thousand inconsistencies.

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