Automatic extraction of relationships between concepts based on ontology

Yifan Yuan; Junping Du; Yuehua Yang; Jun Zhou; Pengcheng He; Shouxin Cao

doi:10.1117/12.2020195

19 March 2013 Automatic extraction of relationships between concepts based on ontology

Yifan Yuan, Junping Du, Yuehua Yang, Jun Zhou, Pengcheng He, Shouxin Cao

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.

Citation Download Citation

Yifan Yuan, Junping Du, Yuehua Yang, Jun Zhou, Pengcheng He, and 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); https://doi.org/10.1117/12.2020195

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available