Title :
Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document
Author :
Zhang, Hui ; Song, Han-tao
Author_Institution :
Dept. of Comput. Sci. & Eng., Beijing Inst. of Technol.
Abstract :
A fuzzy related classification approach for Web document based on ontology concept semantic measurement is presented in this paper. The features of ontology in the semantic Web are explored, and a method to compute the semantic similarity between concepts is put forward. Motivated by the semantic similarity and the fuzzy characteristics of the Web document, the fuzzy related technology combined with VSM in classifying Web documents into a predefined set of ontology categories is adopted. Finally some examples are presented to show that the results are satisfying
Keywords :
fuzzy set theory; ontologies (artificial intelligence); pattern classification; semantic Web; Web document; fuzzy related classification; semantic Web; semantic measurement; Computer science; Conferences; Data mining; Electronic mail; Fuzzy sets; Information retrieval; Length measurement; Ontologies; Semantic Web; Thesauri;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.83
