Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Julian Dolby, James Fan, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, William Murdock, Kavitha Srinivas, Christopher Welty

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.

Scalable Cleanup of Information Extraction Data Using Ontologies was presented at this event.

Keywords: Application software, Semantic Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/research/papers/99
Same as: http://iswc2007.semanticweb.org/papers/99.pdf
Same as: http://revyu.com/things/iswc-aswc-2007-research-paper-99-scalable-cleanup

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