Paper Info
Title
Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document
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.
Year
DOI
Venue
2006
10.1109/ICDMW.2006.83
ICDM Workshops
Keywords
Field
DocType
semantic similarity,ontology concept semantic measurement,web document,fuzzy related technology,fuzzy related classification approach,fuzzy characteristic,predefined set,classifying web document,semantic web,semantic measurement,ontology category,fuzzy set theory,satisfiability,fuzzy classification
Semantic similarity,Data mining,Semantic Web Stack,Information retrieval,Computer science,Semantic Web,Ontology Inference Layer,Data Web,OWL-S,Social Semantic Web,Semantic computing
Conference
ISBN
Citations 
PageRank 
0-7695-2702-7
2
0.53
References 
Authors
7
2
Name
Order
Citations
PageRank
Hui Zhang120.53
Han-Tao Song2406.18