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Automatic Domain-Ontology Relation Extraction from Semi-structured Texts

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4 Author(s)
Cheng Xiao ; MOE-MS Key Lab. of Natural Language Process. & Speech, Harbin Inst. of Technol., Harbin, China ; Dequan Zheng ; Yuhang Yang ; Guojun Shao

This paper presents a new method to acquire domain-ontology relations from semi-structured data sources. First, obtain Web documents according to the co-occurrence of concept instance and attribute value. Further, define formats of relation patterns, and extract pattern instances from Web documents, including pattern clustering and pattern combining in each cluster. Finally, relation pattern instances are applied to gain attribute values of new concept instances in domain-ontology. Experiments are carried out in the field of film, the rate of pattern incorrect-division and pattern leakage are respectively 0.19% and 1.31%, the highest precision of combined relation patterns reaches 85%. Experimental results demonstrate that the method developed in this paper is fairly efficient.

Published in:

Asian Language Processing, 2009. IALP '09. International Conference on

Date of Conference:

7-9 Dec. 2009