A survey of modern knowledge modeling techniques

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A major characteristic regarding developments in the broad field of artificial intelligence (AI) during the 1990s has been an increasing integration of AI with other disciplines. A number of other computer science fields and technologies have been used in developing intelligent systems, starting from traditional information systems and databases, to modern distributed systems and the Internet. This paper surveys the knowledge modeling techniques that have received most attention in recent years among developers of intelligent systems, AI practitioners and researchers. The techniques are described from two perspectives, theoretical and practical. Hence the first part of the paper presents major theoretical and architectural concepts, design approaches, and research issues. The second part deals with several practical systems, applications, and ongoing projects that use and implement the techniques described in the first part.

论文关键词:Knowledge modeling,Knowledge representation,Knowledge processing,Object-oriented systems,Ontologies,Distributed intelligent systems

论文评审过程:Available online 1 November 1999.

论文官网地址:https://doi.org/10.1016/S0957-4174(99)00040-8