Adaptive documents classification system based on ontology constructed by fuzzy function and fuzzy relations

Documents based on Web have been increased very rapidly according to development of Web technology and the documents are very various in document structure and data type. Therefore, many intelligent information systems have applied document categorization method and semantic relation, which they developed to offer fit documents for the user. But information system in present is unable to offer fit information for personal interesting because of the lack of related knowledge which it specify relationship between concepts based on document content. Also there are unable to interpret the content of information resources due to the lack of knowledge. Therefore, in this paper we want to express hierarchical structure in according to concept degree of different structure and data type of document on Web using ontology method, which it is a specification of a conceptualization. Also we propose an algorithm to classify into the same cluster connected documents of similar meaning and reorganization use to fuzzy function and relation.