What is an Expert System? Explain its components and application in IR. 

An Expert System is a type of artificial intelligence (AI) technology that emulates the decision-making and problem-solving abilities of human experts in specific domains. It is designed to mimic the expertise of human specialists, capturing their knowledge and reasoning processes to provide accurate and consistent advice, solutions, or recommendations. Expert Systems have been applied in various fields, including information retrieval (IR), where they assist users in finding relevant information from vast databases or knowledge repositories. Let's explore the components of an Expert System and its applications in Information Retrieval:

Components of an Expert System:

1. Knowledge Base: The Knowledge Base is the core component of an Expert System. It contains a vast repository of domain-specific knowledge and expertise acquired from human experts or knowledge sources. This knowledge is represented in the form of rules, facts, heuristics, and other structured formats that the system can interpret and utilize during the decision-making process.

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