Knowledge Based Expert Systems

Knowledge Based Expert Systems

KMS Knowledge Management Systems (KMS) exist to help businesses create and share information. These are typically used in a business where employees create new knowledge and expertise - which can then be shared by other people in the organization to create further commercial opportunities

Knowledge

Management

Refers to a set of information with which we have experience Usually gained through work, school or other life experiences

Refers to the ability of an individual or group to lead and organize others in business to produce a desired outcome

KMS The goal of knowledge management systems is  To help knowledge workers create, organize, and make available important business knowledge, wherever and whenever it's needed in an organization.  Knowledge management systems make efforts for organizational learning and knowledge creation

EXPERT SYSTEMS  AI  assist humans in the decision-making process, but they don't replace humans.  Many of the decision we make are based on past experience, but we have the added benefit of reasoning and intuition.  Expert systems ask questions, then give you advice and reasons why you should take a certain course of action based on hard data.

 KBIS adds a knowledge base to the major components found in other types of computer-based information systems.  ES is a knowledge-based information system that uses its knowledge about a specific area to act as an expert consultant to end-users.

(KBES)    

Knowledge as BASE This is nothing but the ‘experts’ knowledge. Knowledge is with the experienced people. Knowledge in the KBES is defined as a mix theory of the subject, knowledge of its application, organized information and the data of problems and its solutions.

Use control Mechanism

Knowledg e Base

Interface Mechanism

Knowledge Base  consisting of special facts about the expert & are the rules, which the ES would use, based on those facts to make decisions.  KB represents the total available facts and rules available to an expert.  The knowledge base contains (1) facts about a specific subject area (for example, John is an analyst) and (2) heuristics (rules of thumb) that express the reasoning procedures of an expert on the subject (for example: If John is an analyst, THEN he needs a workstation).  It is a database consisting of theoretical foundations, facts, judgment, rules, formulas, and experience.

Interface Mechanism  Processing an expert system consists of matching facts and rules, determining the sequence of questions presented to the user and making a conclusion.  The processing in an expert system is called inference, which is done through inference engine.  An inference engine applies knowledge in a systematic way.  It is basically a computer program, which processes the rules contained in knowledge base to arrive at the solution to the user’s queries.

User Control Mechanism  It is tool applied to the interface mechanism to select, interpret and deduct or to infer.  These three components are independent of each other.  This helps in modifying the system without affecting all the components.  IN KBES knowledge is represented using different methods like frames, rules or semantic network.

Rule-Based System Example here → fine not here → absent absent and not seen → at home absent and seen → in the building in the building → fine at home and not holiday → sick here and holiday → sick

not here, in the building → fine

not here, not holiday → sick

? here → no ? seen → no ? holiday → no sick ? here → yes fine ? here → yes ? holiday → yes sick

Data-driven × Goal-driven here

seen

holiday data driven

absent

home

building

goal driven fine

sick