2. Expert systems John McCarthy, he defined artificial intelligence as field that gets computer to do things which when done by human can be said to involve intelligence. Expert system is a designed software for problem solving which normally one or more human experts cannot solve.
3. Expert systems Expert system applications categories: Interpreting and identification Planning Diagnosing Debugging and testing Designing Instructing and training Monitoring and controlling Predicting
4. Expert systems The structure of an expert system shows the relationship between factual and heuristic knowledge, and they are based on the following levels of structures Knowledge base Working memory Inference engine
5. Expert systems Limitations of Expert systems: An expert system lacks the common sense found in human An expert system is not creative An expert system cannot adapt to changing environment on its own An expert system depends on symbolic input for sensory experience
6. Expert System in a Matchmaker The Matchmaker is an Artificial Intelligence program that helps make connections between individual that request services and individual that provide services. Monitoring and Controlling Interpretation and Identification
7. Expert System in a Matchmaker When the Matchmaker Artificial Intelligence receives a query from a user or another software or individual, it searches its dynamic database of "advertisements" for a registered individual that can fulfill the incoming request. The Matchmaker thus serves as a liaison between an individual that requests services and an individual that can fulfill requests for services.
9. Simulation of Matchmaker Expert System The Semantic Web requires that data be not only machine readable (just like the Web nowadays does), it also wants the data to be machine understandable Ontology Languages Service Description Languages WSDL UDDI Agents
11. Advantages of Expert System matchmaker provide a semantic and implemented to the web service which is semantic is the most important component of computer systems. The web services called web semantic as well as in matchmaker, the consistency of web semantic is to be readable, understandable
