Knowledge Engineering For Modern Information Systems

Knowledge Engineering for Modern Information Systems

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.

Knowledge Engineering: Representation of knowledge

The first volume of "Knowledge Engineering" presents state-of-the-art reviews and tutorials on fundamental aspects of knowledge engineering. The second volume complements the first by presenting applications of applied artificial intelligence (AI). The field of applied AI and knowledge engineering is very young. Students usually must refer to numerous sources to learn the fundamentals of the subject. The two volumes attempt to present summaries of the various subjects in a single document and are oriented toward practical applications. They are suitable as primary reference books in introductory courses on applied AI and knowledge engineering.

Data & Knowledge Engineering