An Enhanced Multi-view Fuzzy Information Retrieval Model based on Linguistics

The paper proposes a linguistic based multi-view fuzzy ontology information retrieval model. It deals with multi-view linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.