A Fuzzy Ontology-Approach to improve Semantic Information Retrieval

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.

• Type: Conference
• Year: 2007
• Where: SEMWEB
• Authors: Silvia Calegari, Elie Sanchez
• Keywords: Fuzzy Knowledge Base, Non-taxonomic Fuzzy Relationships, Semantic Documents Retrieval, SEMWEB 2007