Knowledge Management Book For Computer Science Engineering And Computer Engineering

Knowledge management is the process of creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organisational objectives by making the best use of knowledge.

UNIT I KNOWLEDGE MANAGEMENT
KM Myths – KM Life Cycle – Understanding Knowledge – Knowledge, intelligence –
Experience – Common Sense – Cognition and KM – Types of Knowledge – Expert
Knowledge – Human Thinking and Learning.

UNIT II KNOWLEDGE MANAGEMENT SYSTEM LIFE CYCLE
Challenges in Building KM Systems – Conventional Vrs KM System Life Cycle (KMSLS)
– Knowledge Creation and Knowledge Architecture – Nonaka’s Model of Knowledge
Creation and Transformation. Knowledge Architecture.

UNIT III CAPTURING KNOWLEDGE
Evaluating the Expert – Developing a Relationship with Experts – Fuzzy Reasoning and
the Quality of Knowledge – Knowledge Capturing Techniques, Brain Storming – Protocol
Analysis – Consensus Decision Making – Repertory Grid- Concept Mapping –
Blackboarding.

UNIT IV KNOWLEDGE CODIFICATION
Modes of Knowledge Conversion – Codification Tools and Procedures – Knowledge
Developer’s Skill Sets – System Testing and Deployment – Knowledge Testing –
Approaches to Logical Testing, User Acceptance Testing – KM System Deployment
Issues – User Training – Post implementation.

UNIT V KNOWLEDGE TRANSFER AND SHARING
Transfer Methods – Role of the Internet – Knowledge Transfer in e-world – KM System
Tools – Neural Network – Association Rules – Classification Trees – Data Mining and