Document (#23696)

Author

Fidel, R.
Efthimiadis, E.N.

Title

Terminological knowledge structure for intermediary expert systems

Source

Information processing and management. 31(1995) no.1, S.15-27

Year

1995

Abstract

To provide advice for online searching about term selection and query expansion, an intermediary expert system should indicate a terminological knowledge structure. Terminological attributes could provide the foundation of a knowledge base, and knowledge acquisition could rely on knowledge base techniques coupled with statistical techniques. The strategies of expert searchers would provide 1 source of knowledge. The knowledge structure would include 3 constructs for each term: frequency data, a hedge, and a position in a classification scheme. Switching vocabularies could provide a meta-scheme and facilitate the interoperability of databases in similar subjects. To develop such knowledge structure, research should focus on terminological attributes, word and phrase disambiguation, automated text processing, and the role of thesauri and classification schemes in indexing and retrieval. It should develop techniques that combine knowledge base and statistical methods and that consider user preferences

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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5. Lincicum, S.: Critical appraisal of the use of classification in the future : non traditional uses of classification: report of a panel discussion (1995) 0.18

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