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Proceedings Paper

Automatic extraction of relationships between concepts based on ontology
Author(s): Yifan Yuan; Junping Du; Yuehua Yang; Jun Zhou; Pengcheng He; Shouxin Cao
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Paper Abstract

This paper applies Chinese word segmentation technology to the automatic extraction and description of the relationship between concepts. It takes text as corpus, matches the concept-pairs by rules and then describes the relationship between concepts in statistical methods. The paper implements an experiment based on the text in the field "respond to emergency", and optimizes speech tagging on account of experimental results, so that the relations extracted are more meaningful to emergency response. It analyzes the display order of inquiries and formulates rules of response and makes the results more meaningful. Consequently, the method turns out to be effective, and can be flexibly extended to other areas.

Paper Details

Date Published: 19 March 2013
PDF: 6 pages
Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 87621Z (19 March 2013); doi: 10.1117/12.2020195
Show Author Affiliations
Yifan Yuan, Beijing Univ. of Posts and Telecommunications (China)
Junping Du, Beijing Univ. of Posts and Telecommunications (China)
Yuehua Yang, Beijing Univ. of Posts and Telecommunications (China)
Jun Zhou, Beijing Univ. of Posts and Telecommunications (China)
Pengcheng He, Beijing Univ. of Posts and Telecommunications (China)
Shouxin Cao, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 8762:
PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan, Editor(s)

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