An Approach of Ontology Constructing for Text Information Classification
Ontology is playing an increasingly important role in knowledge management and the semantic Web. However, creating ontologies is usually tedious and costly from scratch, this study presented a novel approach of automated ontology constructing for text information classification. This methodology used a degree of relevancy among concept that calculated through formal concept analysis and frequency matrix of terms appearing in document to structure an ontology diagram. An experiment about this research that based on the present information classification system was effective to automated ontology constructing, the ontologies accelerated information shared and reused to promote upgrading of semantic web.
NETL
NSTL
万方数据
维普
