Dynamic Stochastic Models for Indexes and Thesauri, Identification Clouds, and Information Retrieval and Storage

Michiel Hazewinkel ()
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Michiel Hazewinkel: CWI

A chapter in Recent Advances in Applied Probability, 2005, pp 181-204 from Springer

Abstract: Abstract The first topic of this partial survey paper is that of the growth of adequate lists of key phrase terms for a given field of science or thesauri for such a field. A very rough ‘taking averages’ deterministic analysis predicts monotonic growth with saturation effects. A much more sophisticated realistic stochatic model confirms that. The second, and possibly more important, concept in this paper is that of an identification cloud of a keyphrase (or of other things such as formulas or classification numbers). Very roughly this is (textual) context information that indicates whether a standard keyphrase is present, or, better, should be present, whether it is linguistically recognizable or not (or even totally absent). Identification clouds capture a certain amount of expert information for a given field. Applications include automatic keyphrase assignment and dialogue mediated information retrieval (as discussed in this paper). The problem arises how to generate (semi-)automatically identification clouds and a corresponding enriched weak thesaurus for a given field. A possible (updatable and adaptive) solution is described.

Keywords: Thesaurus; enriched weak thesaurus; growth of thesauri; identification cloud; information retrieval; information space; disambiguation; automatic indexing; thesaurus; standard keyphrase; dialogue search; neighborhood search; stochastic growth; dialogue mediated search; information storage; key phrase; automatic classification (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-23394-9_8

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DOI: 10.1007/0-387-23394-6_8

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