Document (#37698)

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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