Knowledge Engineering

The universe is full of different kinds of knowledge like tangible, intangible, conceptual, static, dynamic and many more. Knowledge Engineering is an advancement of Artificial Intelligence (AI). The present book describes various concepts of artificial intelligence, and other technical aspects of Knowledge Engineering and Computer Science. Knowledge representation is a key aspect of problem formulation from AI viewpoint. In the light of importance of knowledge representation and its analysis, it has emerged as a full-fledged engineering discipline. The book focuses on the concepts and issues of Knowledge Engineering that have impact on business management strategies, productivity, and the key elements of any business and its people. It also discusses, the skills required from the persons working in this area. Salient Features: Basics of area of knowledge, its significance, applications, basics of engineering, manpower requirement for handling knowledge, roles and responsibilities of knowledge engineer. Technical and nontechnical methods for acquisition of knowledge. Inferencing, a technique for knowledge manipulation. Practical aspects of knowledge based system design and management.

Ela Kumar completed her B.Tech (1988) in Electronics and Communication and M.Tech (1990) Computer Science and Technology from IIT Roorkee. She obtained her PhD in Artificial Intelligence from Delhi University in 2003. She has experience of 26 years in teaching and research related to Computer Science. Presently, she is Dean, Academic affairs, Head of Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women. She has authored five books and more than 80 research papers. She has supervised 6 Ph.D. theses.