Hybrid Technique for Effective Knowledge Representation

Knowledge representation and inference mechanism are most desirable thing to make the system intelligent. System is known to an intelligent if its intelligence is equivalent to the intelligence of human being for a particular domain or general. Because of incomplete ambiguous and uncertain information the task of making intelligent system is very difficult. The objective of this paper is to present the knowledge base system architecture integrated with hybrid knowledge representation technique for making the system effective.

[1]  Reena T. N. Shetty,et al.  Hybrid Model for Knowledge Representation , 2006, 2006 International Conference on Hybrid Information Technology.

[2]  Peng Ying-hong,et al.  Research on hybrid expert system application to blanking technology , 2001 .

[3]  Syed S. Ali,et al.  Knowledge representation for natural language processing in implemented systems , 1997, Nat. Lang. Eng..

[4]  Amir M Sharif,et al.  Knowledge representation within information systems in manufacturing environments , 2004 .

[5]  Han Reichgelt Knowledge representation - an AI perspective , 1991, Tutorial monographs in cognitive science.

[6]  Richard A. Frost Using Semantic Concepts to Characterise Various Knowledge Representation Formalisms: A Method of Facilitating the Interface of Knowledge Base System Components , 1985, Comput. J..

[7]  Gary G. Hendrix,et al.  Expanding the Utility of Semantic Networks Through Partitioning , 1975, IJCAI.

[8]  Christian Rathke Object-oriented programming and frame-based knowledge representation , 1993, Proceedings of 1993 IEEE Conference on Tools with Al (TAI-93).

[9]  Vijay K. Vaishnavi,et al.  A smart object approach to hybrid knowledge representation and reasoning strategies , 1995, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences.

[10]  Peter Szolovits,et al.  What Is a Knowledge Representation? , 1993, AI Mag..

[11]  Simon Buckingham Shum,et al.  Knowledge Representation with Ontologies: The Present and Future , 2004, IEEE Intell. Syst..

[12]  Poonam Tanwar,et al.  An Effective Knowledge base system Architecture and issues in representation techniques , 2011 .

[13]  Hector J. Levesque,et al.  Knowledge Representation and Reasoning , 2004 .

[14]  Stuart C. Shapiro,et al.  Encyclopedia of artificial intelligence, vols. 1 and 2 (2nd ed.) , 1992 .

[15]  Jonathan Richard Shewchuk,et al.  Lecture Notes on , 1999 .

[16]  Arthur B. Markman,et al.  Knowledge Representation , 1998 .

[17]  Anthony G. Cohn Deep knowledge representation techniques , 1986 .

[18]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .