The process of Knowledge Management involves an organization's identification, creation, management, and delivery of information in order to enhance workforce performance. It is a discipline that promotes a holistic approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise's information assets. These assets may include databases, documents, policies, procedures, and the expertise and experience of individual workers. The book Knowledge Management: Fundamentals, Tools, and Techniques covers these issues in thirty-three chapters, which are broadly divided into five sections. These sections include Fundamentals of Knowledge Management, Latest Tools and Techniques for Knowledge Management, Databases, Data mining, Knowledge Discovery in Biotechnology and Bioinformatics, Data mining and Knowledge Discovery in Agriculture and Allied Fields, and Indigenous Knowledge Protection and IPR Issues. The book contains original research and case studies by academic and research contributors on strategies, tools, techniques, and technologies for Knowledge Management. The focus of this book is on the identification of innovative Knowledge Management strategies and the application of theoretical concepts to real-world situations. The book begins with an introduction to the concepts and principles of Knowledge Management, starting with the basics of data, information, knowledge, and wisdom. It also clarifies the differences between Explicit, Implicit, and Tacit Knowledge. The book covers traditional Knowledge Management approaches as well as emerging topics such as cloud computing, Semantic Web, Rough Computing, Fuzzy logic, Artificial intelligence, Machine learning, social networks, and Tools and Techniques for Geo Spatial Data Knowledge Discovery. The book focuses on how Knowledge Management impacts organizations and individuals and provides steps that should be taken to maximize benefits, including directions for how to select, develop, and evaluate Knowledge Management systems.
