ISWC 2006 5th International Semantic Web Conference
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A Framework for Schema-Driven Relationship Discovery from Unstructured text
Cartic Ramakrishnan University of Georgia
Krys Kochut University of Georgia
Amit Sheth University of Georgia

We address the issue of extracting implicit and explicit relationships between entities in biomedical text. We argue that entities seldom occur in text in their simple form and that relationships in text relate the modified, complex forms of entities with each other. We present a rule-based method for (1) extraction of such complex entities and (2) relationships between them and (3) the conversion of such relationships into RDF. Furthermore, we present results that clearly demonstrate the utility of the generated RDF in discovering knowledge from text corpora, by means of locating paths composed of the extracted relationships.


5th International Semantic Web Conference, Athens, GA, USA, November 5-9, 2006, LNCS 4273




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