Synonym Relationship Discovery for Knowledge Organization System Based on Paired Translation Information

DOI

10.2991/ecae-17.2018.65How to use a DOI?

Keywords

knowledge organization system; Chinese scientific and technical vocabulary system; synonym relationship discovery; paired translation information

Abstract

Synonym relationship is one of the most important relationships for knowledge organization systems. In this paper, we propose a series of methods on synonym relationship discovery based on paired translation information already in knowledge organization systems. The translations amount and the translation concurrence strength are inputs of similarity, which then calculated by Boolean comparison, conditional mutual information and cosine similarity of vector space model. With the output of these methods, synonym relationships are discovered and constructed. Precision and richness are used as the indexes to evaluate the methods. With an experiment in new energy vehicles domain, it is found that the effects of the result are acceptable and have the potential to be improved by more translation pairs.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yunliang Zhang
PY  - 2017/12
DA  - 2017/12
TI  - Synonym Relationship Discovery for Knowledge Organization System Based on Paired Translation Information
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 304
EP  - 307
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.65
DO  - 10.2991/ecae-17.2018.65
ID  - Zhang2017/12
ER  -