Title :
Knowledge acquisition and representation through neighborhoods
Author :
Cullinane, Michael J. ; Kao, David T. ; Shore, Samuel D.
Author_Institution :
Dept. of Math., New Hampshire Univ., Durham, NH, USA
Abstract :
Knowledge representation is a major component of knowledge acquisition. A theoretical model for the representation of knowledge in a given problem domain is developed through the use of the mathematical notion of neighborhood. The model as flexible enough to support the representation of a semantic structure which can be mathematically encoded as a weak distance, a binary relation, or a topology. A concrete situation is developed which demonstrates the application of various aspects of the theory
Keywords :
knowledge acquisition; knowledge representation; topology; binary relation; knowledge acquisition; knowledge representation; mathematical notion; neighborhoods; problem domain; semantic structure; theoretical model; weak distance; Computer science; Concrete; Design engineering; Encoding; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Knowledge representation; Neural networks; Topology;
Conference_Titel :
Database and Expert Systems Applications, 1996. Proceedings., Seventh International Workshop on
Conference_Location :
Zurich
Print_ISBN :
0-8186-7662-0
DOI :
10.1109/DEXA.1996.558270
