Knowledge attributes: fuzzy application of temporal constraints in active expert database systems

Author

Bechtold, Richard T.

Author_Institution

Software Productivity Consortium, Herndon, VA, USA

fYear

1991

fDate

30 Sep-2 Oct 1991

Firstpage

29

Lastpage

35

Abstract

In active expert databases, current methodologies distinguish between the active execution of knowledge and the management of data. This distinction is extended to attributes, so that attributes also reflect both knowledge and data. The objective is to make the expert system more knowledgeable of, and responsive to, its own execution characteristics. Active databases are discussed with particular focus being given to execution determinism, basic principles of fuzzy logic and temporal issues, and various potential knowledge attributes that capture temporal execution and usage characteristics. The fuzzy interpretation of those characteristics in constraining the activity behind an active expert database system is discussed

Keywords

deductive databases; expert systems; fuzzy logic; knowledge engineering; active expert databases; attributes; data management; expert systems; fuzzy logic; knowledge attributes; methodologies; temporal constraints; Application software; Data engineering; Database systems; Expert systems; Fuzzy systems; History; Knowledge management; Logic; Productivity; Software algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Developing and Managing Expert System Programs, 1991., Proceedings of the IEEE/ACM International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-2250-4

Type

conf

DOI

10.1109/DMESP.1991.171766

Filename

171766