Title :
Modeling approaches to knowledge engineering: an empirical comparison
Author :
Chow, Paul K O ; Yeung, Daniel S.
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong
Abstract :
Development of knowledge-based system are often encountered with ill-natured problems and uncertain solutions. This paper gives a comparison of two modeling approaches to knowledge engineering applied to two problem domains. Empirical results show that object modelling technique (OMT) is an ideal supplement to KADS, in terms of object concept, behavioral system view, and object-oriented analysis and design technique. Combining OMT with KADS would give a better understanding, more balanced description, and uniform representation of the knowledge problem and ultimately improve on the uncertain knowledge-based system solutions
Keywords :
knowledge acquisition; knowledge based systems; knowledge representation; modelling; object-oriented methods; knowledge acquisition; knowledge engineering; knowledge representation; knowledge-based system; object modelling technique; object-oriented analysis; Artificial intelligence; Computer science; Expert systems; Investments; Knowledge based systems; Knowledge engineering; Object oriented modeling; Prototypes; Uncertain systems; Uncertainty;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538392