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. |
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@report{shah02 , |
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paper | http://www.csee.umbc.edu/~finin/papers/aaai02abir/draft.pdf |
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