Abstract
This paper presents a framework called logical knowledge object (LKO), which is taken as a basis of the dependable development of knowledge based systems(KBSs). LKO combines logic programming and object-oriented programming paradigms, where objects are viewed as abstractions with states, constraints, behaviors and inheritance. The operational semantics defined in the style of natural semantics is simple and clear. A hybrid knowledge representation amalgamating rule, frame, semantic network and blackboard is available for both most structured and flat knowledge. The management of knowledge bases has been formally specified. Accordingly, LKO is well suited for the formal representation of knowledge and requirements of KBSs. Based on the framework, verification techniques are also explored to enhance the analysis of requirement specifications and the validation of KBSs. In addition, LKO provides a methodology for the development of KBSs, applying the concepts of rapid prototyping and top-down design to deal with changing and incomplete requirements, and to provide multiple abstract models of the domain, where formal methods might be used at each abstract level.
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This work is supported by the High Tech Research and Development Programme of China
Xu Dianxiang received his B.A., M.S. and Ph.D. degrees in computer architecture, computer application and computer software respectively from Nanjing University in 1989, 1992 and 1995. He is currently a member of the Department of Computer Science and Technology at Nanjing University. His research interests are in software engineering and knowledge based systems
Zheng Guoliang is a Professor of the Department of Computer Science and Technology at Nanjing University. His current research interests are in software engineering and formal methods
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Xu, D., Zheng, G. Logical object as a basis of knowledge based systems. J. of Comput. Sci. & Technol. 10, 425–438 (1995). https://doi.org/10.1007/BF02948338
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DOI: https://doi.org/10.1007/BF02948338