Data Management

Using Automatic Ontology Learning Methods in Human Plausible Reasoning Based Systems

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Executive Summary

Human Plausible Reasoning (HPR) theory is based on the way human thinks and reasons. It says having a knowledge base of information, what kind of inference patterns plausibly human uses to reach to an answer. This theory mainly consists of two parts. In the first part it describes the kind of information representation the authors have in mind. The other part of theory says what kind of inference patterns they use for getting new information from the knowledge base. These patterns are results of investigating many peoples in the way they answer questions. This idea has been used in many Information Retrieval (IR) related applications.

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