Abstract
The paper proposes a multi-view information retrieval model. The model has the ability to deal with the multi-field topics problem using a predefined multi-field or multi-view fuzzy ontology. Respecting the natural relationship between concepts and terms, the model enhances the recall measure compared with previously proposed fuzzy ontology-based information retrieval models. It also proposes a ranking algorithm that ranks a set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree. General Terms Algorithms
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