| ISBN: 0-07-063374-6
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description |
The enterprise information space is split in two hemispheres.
Documents contain unstructured or semistructured information;
structured information is stored in databases. As regards the
content, both kinds of information are complementary parts. However,
enterprise information systems usually focus on one part, only. Our
approach improves document retrieval in the intranet by exploiting
the enterprise's databases. In particular, we exploit database
information to describe the context of documents and exploit this
context to enhance common full text search. In this paper, we show
how to model and compute document context and present results on
runtime performance
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publisher |
New Delhi: Tata McGraw-Hill Publishing Company
Limited
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type |
Text
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| Article in Proceedings
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source |
In: Lakshmanan, L. V. S. (ed.); Roy, P. (ed.); Tung, A. K. H. (ed.):
13th International Conference on Management of Data (COMAD 2006),
December 14-16, 2006, Delhi, India, pp. 201-204
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| ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2006-56/INPROC-2006-56.pdf
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contributor |
IPVS, Anwendersoftware
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format |
application/pdf
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| 104870 Bytes
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subject |
Information Search and Retrieval (CR H.3.3)
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