Title :
Clustering knowledge in tabular knowledge bases
Author :
Vanthienen, J. ; Dries, E. ; Keppens, J.
Author_Institution :
Dept. of Appl. Econ. Sci., Katholieke Univ., Leuven, Belgium
Abstract :
Recently, there has been a growing interest in the maintenance and efficiency of large knowledge based systems. Decomposition of knowledge based systems is recognized as an important research issue in this respect. We discuss the decomposition of knowledge bases that consist of decision tables. Several algorithms to decompose large decision tables into smaller components are proposed.
Keywords :
decision tables; decision theory; knowledge based systems; knowledge verification; software maintenance; decision tables; knowledge based systems decomposition; knowledge clustering; large knowledge based systems; tabular knowledge bases; Chromium; Computational efficiency; Expert systems; Explosions; Face detection; Knowledge based systems; Knowledge representation; Partitioning algorithms; System testing; Visualization;
Conference_Titel :
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
Print_ISBN :
0-8186-7686-7
DOI :
10.1109/TAI.1996.560430
