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Ontology Learning for Chinese Documents Based on SVD and Conceptual Clustering

Ontology Learning for Chinese Documents Based on SVDand Conceptual Clustering
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摘要 In order to construct Chinese ontology easily, an automated ontology learning technology for Chinese documents based on singular value decomposition (SVD) and conceptual clustering is proposed . First the system extracts concepts from a set of domain-specific documents by using SVD technology, and then acquires subsumption relationships between the concepts by means of hierarchical conceptual clustering method. The system thus yields domain-related concept hierarchy. In order to construct Chinese ontology easily, an automated ontology learning technology for Chinese documents based on singular value decomposition (SVD) and conceptual clustering is proposed . First the system extracts concepts from a set of domain-specific documents by using SVD technology, and then acquires subsumption relationships between the concepts by means of hierarchical conceptual clustering method. The system thus yields domain-related concept hierarchy.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2003年第S1期139-144,共6页 北京理工大学学报(英文版)
关键词 Semantic Web ONTOLOGY ontology learning singular value decomposition conceptual clustering Semantic Web ontology ontology learning singular value decomposition conceptual clustering
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参考文献3

  • 1Ning Zhong.Representation and construction of cntologies for web Intelligence[].International Journal of Foundations of Computer Science.2002
  • 2Reddy M,Velvadapu C,Srivastava S,et al.Ontology extraction from text documents by singular value decomposition[]..2001
  • 3Zhuge H.Clustering soft-devices in semantic grid[].IEEE Computing in Science and Engineering.2002

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