OWL as a Target for Information Extraction Systems

Authors: , Tim Finin, James Mayfield, Christine Piatko

Book Title: OWLED 2008 DC, OWL: Experiences and Directions

Date:

Abstract: Current information extraction systems can do a good job of discovering entities, relations and events in natural language text. The traditional output of such systems is XML, with the ACE Pilot Format (APF) schema as a common target. We are developing a system that will take the output of an information extraction system as APF documents and directly populate a knowledge base with the information extracted. We report on an initial OWL ontology that covers the APF schema, a simple program to convert a set of APF documents to RDF data and a demonstration system build with Exhibit to view the results.

Type: InProceedings

Tags: information extraction, names entity recognition, natural language processing, owl

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