¹ College of Applied Sciences, Beijing University of Technology, Beijing, China
² Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

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Abstract—Automatic acquisition of ISA relations is a basic problem in knowledge acquisition from text. We present an iterative method extracting ISA relations from large Chinese free text for ontology learning. Firstly, it initially discovers a set of sentences using several special Chinese lexico-syntactic patterns from free text corpus. Secondly we combine outside layer removal and inside layer gathering for acquiring concepts of constituting ISA relation. Finally, ISA relations are verified with multiple features. Extracted ISA relations will be selected for new relation extracting cycle. Experimental results demonstrate good performance of the method for extracting ISA relation from large Chinese corpus.

Index Terms—Relation Acquisition, Knowledge Acquisition, Information Extraction, Ontology Learning, ISA Relation.

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Cite: Lei Liu, Sen Zhang, Luhong Diao, and Cungen Cao, " An Iterative Method of Extracting Chinese ISA Relations for Ontology Learning," Journal of Computers vol. 5, no. 6, pp. 870-877, 2010.