The core of an Knowledge Management system is Knowledge Management software or information technology. It is the brain of an organization.
Knowledge Management software capture, extract and organize information and knowledge. Knowledge management software facilitates
knowledge sharing within the organization and with its palterers and customers. Unlike other e-business software (ERP, CRM SCM and SFA) which
you can acquire packaged software from one vendors, knowledge management software are loosely integrated.
Technologies and tools for knowledge management automate the processes of knowledge management.
Knowledge Capturing and Extraction
- Ecommerce Apllications
- E-business applications - ERP, CRM, SCM and SFA
- Document Management
- Content Management
Knowledge Representation and Organization
- Data Warehouse Technology that stores and organizes vast amount of data for easy retrieval and data mining.
- Data Mining Techniques and technology that explores vast amount of data stored in data warehouses to identify meaningful patterns.
- Knowledge Representation Technology that organizes and represents information and knowledge so that Decision Support Systems
and Expert Systems can use to make intelligent decisions.
Knowledge Sharing and Decision Support
- Decision Support Systems Computer programs that enhances the natural process of decision making by generating and evaluating many options.
- Expert Systems Computer programs that utilize knowledge and experience stored to solve complex problems in specific domains.
Knowledge is represented either in a set of rules (rule-based systems) or set of cases (case-based systems).
Knowledge Management - Definition, History, Processes and Technology
Knowledge Management Definition | What is Knowledge Management - A Systems Perspective
Knowledge Management Systems - Knowledge Management Software, Business Processes and Operating Systems
Knowledge Management Solution - Sharing Knowledge with Employees, Customers and Partners
Benefits of Knowledge Management Systems - Benefits of Automation
Causes of Knowledge Management Failures
Knowledge Management Implementation - Critical Successful Factors