Fuzzy clustering of semantic spaces

摘要

In this paper the GK+ model for the construction of thesaurus classes based on fuzzy semantic association measure between index terms and concepts (thesaurus classes) is presented. The association measure is obtained on the basis of fuzzy semantic relations between index terms, and it is used to cluster index terms into concepts. A hierarchical algorithm is introduced which runs on a simple numerical example.