A Framework for Schema-Driven Relationship Discovery from Unstructured text

From semanticweb.org

A paper written by Cartic Ramakrishnan, Amit Sheth and Krys Kochut. It was presented at the ISWC2006.

[edit] Abstract

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.

The schedule for this talk can be found in the conference programme and a linked list of all talks is provided in the article on ISWC2006 papers. This article has originally been created from the RDF metadata for ISWC 2006.