Synonym Relationship Discovery for Knowledge Organization System Based on Paired Translation Information
- 10.2991/ecae-17.2018.65How to use a DOI?
- knowledge organization system; Chinese scientific and technical vocabulary system; synonym relationship discovery; paired translation information
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.
- © 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/).
Cite this article
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 -