Research on the Term Relation Identification Based on Fuzzy Comprehension Evaluation Method -- A Case Study on the Natural Disaster Risk Term
Hui Li, Jing Zhang, Xiaohong Jin, Yunliang Zhang
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.16How to use a DOI?
- Fuzzy comprehension evaluation; term relation identification; similarity; natural disaster risk term
- Based on the existing terminology in the Chinese science & technology term system of natural disaster monitoring and defense, in this article, fuzzy identification of term relation is conducted by multi-strategy fuzzy comprehension evaluation. First, calculate similarity through various similarity computing methods; then determine division of relation category and threshold range through continuous attributes discretization method, and determine factor weight through particle swarm algorithm and cross validation method; and finally, integrate and process computed results of all similarity computing methods through fuzzy comprehension evaluation method, so as to achieve fuzzy identification of term relation. Evaluate the results of relation identification via precision, recall and F value, to demonstrate effectiveness of this method. By using the existing terms in natural disaster risk monitoring scientific and technical word system as a test set, it is found that the method can effectively realize the recognition of terms.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hui Li AU - Jing Zhang AU - Xiaohong Jin AU - Yunliang Zhang PY - 2017/03 DA - 2017/03 TI - Research on the Term Relation Identification Based on Fuzzy Comprehension Evaluation Method -- A Case Study on the Natural Disaster Risk Term BT - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016) PB - Atlantis Press SP - 104 EP - 113 SN - 2352-5401 UR - https://doi.org/10.2991/ifmca-16.2017.16 DO - https://doi.org/10.2991/ifmca-16.2017.16 ID - Li2017/03 ER -