A framework of Chinese semantic text mining based on ontology learning

Yu-feng Zhang; Feng Hu

doi:10.1117/12.921136

13 January 2012 A framework of Chinese semantic text mining based on ontology learning

Yu-feng Zhang, Feng Hu

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83491Y (2012) https://doi.org/10.1117/12.921136
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Text mining and ontology learning can be effectively employed to acquire the Chinese semantic information. This paper explores a framework of semantic text mining based on ontology learning to find the potential semantic knowledge from the immensity text information on the Internet. This framework consists of four parts: Data Acquisition, Feature Extraction, Ontology Construction, and Text Knowledge Pattern Discovery. Then the framework is applied into an actual case to try to find out the valuable information, and even to assist the consumers with selecting proper products. The results show that this framework is reasonable and effective.

Citation Download Citation

Yu-feng Zhang and Feng Hu "A framework of Chinese semantic text mining based on ontology learning", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491Y (13 January 2012); https://doi.org/10.1117/12.921136

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