Feeding OWL: extracting and representing the content of pathology reports

Authors:
David Schlangen;Manfred Stede;Elena Paslaru Bontas
Affiliations:
University of Potsdam, Potsdam, Germany;University of Potsdam, Potsdam, Germany;Freie Universität Berlin, Berlin, Germany
Venue:
NLPXML '04 Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology
Year:
2004

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Abstract

This paper reports on an ongoing project that combines NLP with semantic web technologies to support a content-based storage and retrieval of medical pathology reports. We describe the NLP component of the project (a robust parser) and the background knowledge component (a domain ontology represented in OWL), and how they work together during extraction of domain specific information from natural language reports. The system provides a good example of how NLP techniques can be used to populate the Semantic Web.