Title :
Knowledge representation for reasoning about devices
Author :
Hofmann, Martin ; Bourne, John ; Brodersen, Arthur
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
Abstract :
A novel knowledge-representation methodology that imposes syntactic structure and semantic discipline on the knowledge base is presented. The representation is based on the semantic network formalism and extends its organization principles to the semantics of the stored knowledge. Knowledge is classified according to subject and is organized into an inheritance hierarchy. Domain and reasoning knowledge are separated. Stored knowledge becomes reusable and can be shared among applications. The presented methodology supports reasoning through classification, specialization, and instantiation
Keywords :
inference mechanisms; knowledge representation; artificial intelligence; classification; inheritance hierarchy; instantiation; knowledge engineering; knowledge-representation; methodology; reasoning; semantic network formalism; specialization; syntactic structure; Biomedical engineering; Design engineering; Intelligent structures; Intelligent systems; Knowledge engineering; Knowledge representation; Medical diagnostic imaging; Power system modeling; Production systems; Systems engineering and theory;
Conference_Titel :
System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
Conference_Location :
Tallahassee, FL
Print_ISBN :
0-8186-1933-3
DOI :
10.1109/SSST.1989.72508