Document (#37697)

Author

Shah, U.
Finin, T.
Joshi, A.
Cost, R.S.
Mayfield, J.

Title

Information retrieval on the Semantic Web

Source

http://www.csee.umbc.edu/~finin//papers/cikm02/cikm02.pdf

Year

2002

Abstract

We describe an apporach to retrieval of 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 statement provide both structured and semi-structured information about the documents and their content. We claim that indexing text and semantic markup will significantly improve retrieval performance. Outr 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.

Theme

Semantic Web

Object

DAML
OIL

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5. Cortex, E.M.; Park, S.C.; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network for intelligent information retrieval (1995) 0.17

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