A Fuzzy Ontology-Approach to improve Semantic Information Retrieval
نویسندگان
چکیده
This paper shows how a Fuzzy Ontology based approach can improve semantic documents retrieval. After formally defining a Fuzzy Knowledge Base, it is discussed a special type of new non-taxonomic fuzzy relationships, called (semantic) correlations. These correlations, first assigned by experts, are updated after querying, or when a document has been inserted into a database. It is then introduced an Information Retrieval algorithm that allows to derive a unique path among the entities involved in the query in order to obtain maxima semantic associations in the knowledge domain.
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تاریخ انتشار 2007