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Conceptual Information Retrieval - A Case Study in Adaptive Partial Parsing (Paperback, Softcover reprint of the original 1st ed. 1991)
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Conceptual Information Retrieval - A Case Study in Adaptive Partial Parsing (Paperback, Softcover reprint of the original 1st ed. 1991)
Series: The Springer International Series in Engineering and Computer Science, 152
Expected to ship within 10 - 15 working days
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The infonnation revolution is upon us. Whereas the industrial
revolution heralded the systematic augmentation of human physical
limitations by har nessing external energy sources, the infonnation
revolution strives to augment human memory and mental processing
limitations by harnessing external computational resources.
Computers can accumulate. transmit and output much more infonnation
and in a more timely fashion than more con ventional printed or
spoken media. Of greater interest, however, is the computer's
ability to process, classify and retrieve infonnation selectively
in response to the needs of each human user. One cannot drink from
the fire hydrant of infonnation without being immediately flooded
with irrelevant text. Recent technological advances such as optical
character readers only exacerbate the problem by increasing the
volume of electronic text. Just as steam and internal combustion
engines brought powerful energy sources under control to yield
useful work in the industrial revolution, so must we build
computational engines that control and apply the vast infonnation
sources that they may yield useful knowledge. Information science
is the study of systematic means to control, classify, process and
retrieve vast amounts of infonnation in electronic fonn. In par
ticular, several methodologies have been developed to classify
texts manually by annies of human indexers, as illustrated quite
clearly at the National Library ofMedicine, and many computational
techniques have been developed to search textual data bases
automatically, such as full-text keyword searches. In general."
General
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