title Information Retrieval on the Semantic Web
authors Urvi Shah, Tim Finin, Jim Mayfield
abstract We describe an approach for information retrieval over documents that consist of both free text and semantically enriched markup. In particular, we present the design and implementation prototype of a framework in which both documents and queries can be marked up with statements in the DAML+OIL semantic web language. These statements provide both structured and semi-structured information about the documents and their content. Our approach allows inferencing to be done over this information at several points: when a document is indexed, when a query is processed and when query results are evaluated. Our current prototype is based on a version of the HAIRCUT information retrieval system and uses a semantic web inferencing system implemented using DAMLJessKB.

@report{shah02 ,
authors={Urvi Shah and Tim Finin andJim Mayfield},
title={Information Retrieval on the Semantic Web},
comment={submitted to the 2002 AAAI Worksop on Agent-based information retrieval}

paper http://www.csee.umbc.edu/~finin/papers/aaai02abir/draft.pdf