Ontology Learning for Chinese Documents Based on SVD and Conceptual Clustering

摘要

In order to construct Chinese ontology easily, an automated ontology learning technology forChinese documents based on singular value decomposition(SVD) and conceptual clustering is proposed. Firstthe system extracts concepts from a set of domain-specific documents by using SVD technology,and thenacquires subsumption relationships between the concepts by means of hierarchical conceptual clusteringmethod. The system thus yields domain-related concept hierarchy.