Dynamic Stochastic Models for Indexes and Thesauri, Identification Clouds, and Information Retrieval and Storage
Michiel Hazewinkel · Kluwer Academic Publishers eBooks · 2006
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.