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.
Schlangen et al. REF describe a system that combines a natural language processing system with Semantic Web technologies to support the content-based storage and retrieval of medical pathology reports.
Feeding OWL: Extracting And Representing The Content Of Pathology Reports
Workshop On NLP And XML NLPXML RDF/RDFS And OWL In Language Technology
Computer Science