DocumentCode :
1971850
Title :
Object-oriented expert systems parallel knowledge processing in a CORBA-based architecture
Author :
Flor, Th. ; Eisenecker, U. ; Siembor, P.
Author_Institution :
Dept. of Med. Inf., Tech. Univ. Ilmenau, Germany
Volume :
2
fYear :
1995
fDate :
19-21 Apr 1995
Abstract :
Knowledge based systems (KBS) of first generation are characterized by the separation of domain specific knowledge and general problem solving strategies. Such systems lack of the following important abilities: knowledge acquisition according different paradigms of representation and processing, definition of deep knowledge caused by physiological processes of reasoning, and management of different abstraction levels. Next generation KBS provide a bases from managing these problems. Essential characteristics of this new systems are modularization of knowledge, distribution of knowledge across different hardware and software resources, and use of object-oriented technology for integrating symbolic and subsymbolic knowledge on different levels of abstraction
Keywords :
client-server systems; expert systems; knowledge representation; object-oriented programming; parallel programming; CORBA-based architecture; abstraction levels; deep knowledge; domain specific knowledge; general problem solving strategies; knowledge acquisition; knowledge based systems; object-oriented expert systems; object-oriented technology; parallel knowledge processing; processing; reasoning; representation; subsymbolic knowledge; symbolic knowledge; Access protocols; Character generation; Communication system control; Communication system software; Expert systems; Hardware; Knowledge based systems; Knowledge management; Medical expert systems; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Algorithms and Architectures for Parallel Processing, 1995. ICAPP 95. IEEE First ICA/sup 3/PP., IEEE First International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-2018-2
Type :
conf
DOI :
10.1109/ICAPP.1995.472294
Filename :
472294
Link To Document :
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