Which component of an expert system is responsible for extracting relevant information to solve a problem?

The inference engine is the core component of an expert system responsible for extracting relevant information and applying logical rules to solve problems. It functions by processing the data from the knowledge base, which contains domain-specific information and rules. The inference engine utilizes this knowledge to draw conclusions, make decisions, and generate solutions relevant to the user's queries or problems presented.

In an expert system, the user interface allows interaction between the user and the system; however, it does not contribute to the problem-solving process itself. The knowledge base serves to store the facts and rules necessary for the system but does not conduct the extraction or reasoning. Similarly, the data repository may contain additional data used for reference but plays a less critical role in the reasoning and decision-making process. It is the inference engine that ultimately orchestrates the application of knowledge to arrive at informed outcomes.