AN OBJECT-ORIENTED KNOWLEDGE-BASE FOR MULTIDOMAIN EXPERT-SYSTEMS

Citation
Lml. Chew et al., AN OBJECT-ORIENTED KNOWLEDGE-BASE FOR MULTIDOMAIN EXPERT-SYSTEMS, Expert systems with applications, 8(1), 1995, pp. 177-185
Citations number
24
Categorie Soggetti
Operatione Research & Management Science","System Science","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
ISSN journal
09574174
Volume
8
Issue
1
Year of publication
1995
Pages
177 - 185
Database
ISI
SICI code
0957-4174(1995)8:1<177:AOKFME>2.0.ZU;2-D
Abstract
With the current technology of ''deep'' expert systems, domain knowled ge can be modeled, using an object-oriented representation, separately from the strategic knowledge required to make inferences on the domai n. Where such domains involve the construction of some hierarchy or ne twork, a generic inference strategy can be devised to search the domai n knowledge for plausible solutions. Thus, our main concern is in buil ding an appropriate object-class structure that accurately models the problem domain. Rules are merely written to customize the expert syste m according to the uniqueness of each problem domain. Thus, a common f ramework for user interaction can be devised for domains of the same ' 'type.'' By accessing the various domains stored in various knowledge bases, an individual is able to get the benefit of ''expert advice'' a bout several areas, using a somewhat similar interface, varying only a ccording to context and terminology. Hence, the objective of this pape r is to show how deep knowledge can be used to effectively model the d escriptive information of a problem domain without the need to develop and maintain a large rule network. Consequently, we suggest a generic inference strategy that reasons on the deep knowledge via the applica tion of heuristic functions.