Document Type

Conference Proceeding

Publication Date



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.


Presented at the 5th International Semantic Web Conference, Athens, GA, November 5-9, 2006.

Video of the presentation can be found at

Attached is the unpublished, author's version of this proceeding. The final publication is available at Springer via