R. Fidel et En. Efthimiadis, TERMINOLOGICAL KNOWLEDGE STRUCTURE FOR INTERMEDIARY EXPERT-SYSTEMS, Information processing & management, 31(1), 1995, pp. 15-27
Citations number
53
Categorie Soggetti
Information Science & Library Science","Information Science & Library Science","Computer Science Information Systems
An intermediary expert system (IES) helps both end users and professio
nal searchers to conduct their online database searching. To provide a
dvice about term selection and query expansion, an IES should include
a terminological knowledge structure. Terminological attributes as wel
l as other properties could provide the starting point for building a
knowledge base, and knowledge acquisition could rely on knowledge-base
techniques coupled with statistical techniques. The searching behavio
r of expert online searchers would provide one source of knowledge. Th
e knowledge structure would include three constructs or each term: fre
quency data, a hedge, and a position in a classification scheme. Switc
hing vocabularies or languages could provide a meta-schema and facilit
ate the interoperability of databases in similar subject domains. To d
evelop such knowledge structure, future research should focus on termi
nological attributes, word and phrase disambiguation, automated text p
rocessing, and the role of thesauri and classification schemes in inde
xing and retrieval. In particular, such research should develop techni
ques that combine knowledge-base and statistical methods and that cons
ider user preferences.