19 March 2013 Automatic extraction of relationships between concepts based on ontology
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Proceedings Volume 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 87621Z (2013) https://doi.org/10.1117/12.2020195
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
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.
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Yifan Yuan, Junping Du, Yuehua Yang, Jun Zhou, Pengcheng He, Shouxin Cao, "Automatic extraction of relationships between concepts based on ontology", Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 87621Z (19 March 2013); doi: 10.1117/12.2020195; https://doi.org/10.1117/12.2020195
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