Introduction

Knowledge-based systems are computer programs that use a centralized repository of data known as a knowledge base to provide a method for problem-solving.  It uses stored knowledge and Artificial Intelligence concepts to solve problems, which may be useful for assisting with human learning and making decisions.

Creating a knowledge-based system within an organization is very important since it will improve organizational agility, make decision-making faster, aid in problem-solving, it will increase the rate of innovation, it will support employee growth and development, make sharing specialist expertise easier, it will improve communication, and it will improve business processes.

Duration

10 days

Who Should Attend:

• Knowledge managers
• Information professionals
• IT managers
• Professionals responsible for Knowledge Management within organizations
• Entrepreneurs

Course Objectives

To provide you with a comprehensive understanding of the principles, methodologies, and practices involved in creating and managing knowledge-based systems, empowering you to effectively harness the power of organizational knowledge for improved decision-making and innovation.

After completing this course, participants will develop the skills needed to design and implement a successful knowledge-based system.

Course Outline

Module 1: Introduction to Knowledge-Based Systems

• Introduction to Knowledge-based system
• Types of knowledge-based systems
• Differentiating between data, information, and knowledge
• Advantages and challenges of knowledge-based systems

Module 2: Knowledge Management Principles

• Knowledge management and its role in organizational success.
• Principle of knowledge creation, capture, organization, sharing, and application.
• Knowledge Management process and lifecycle

Module 3: Components of Knowledge-Based System

• Knowledge base System
• Interface Engine System 
• User interface System

Module 5: Knowledge Acquisition

• Expert’s source
• Tacit sources.
• Structured vs. unstructured knowledge capture method.
• Tools for Knowledge Acquisition.
• Utilizing interviews, surveys, observation, and documentation.

Module 6: Knowledge Representation and Organization

• Types of knowledge representation
• Taxonomies, categories, and metadata for effective organization

Module 7: Knowledge Storage and Retrieval

• Tools used to store knowledge
• Search techniques, indexing, and advanced search functionalities.
• Semantic search and natural language processing.

Module 8: Knowledge Sharing and Collaboration

• How to create a culture of knowledge sharing.
• Social collaboration platforms and knowledge-sharing tools.

Module 9: Implementation and Integration

• Strategies for introducing a knowledge-based system in an organization.
• How to Ensure User Adoption
• Employee training for seamless implementation

Module 10: Ethical and Legal Considerations

• Privacy, security, and intellectual property concerns in knowledge management.
• Data protection and recordkeeping regulations