TY  - CONF
ID  - SisLab2942
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2942/
A1  - Vu, Ngoc Trinh
A1  - Nguyen, Quoc Dat
A1  - Nguyen, Tien Dat
A1  - Nguyen, Manh Cuong
A1  - Vu, Van Vuong
A1  - Ha, Quang Thuy
Y1  - 2018/03//
N2  - This study provides a positive-unlabeled learning model for extending a Vietnamese petroleum dictionary based on Vietnamese Wikipedia data. Machine learning algorithms with positive and unlabeled data together with separated and combined between Google similarity distance and Cosine similarity distance, used in this study. The data sources used to integrate are English - Vietnamese oil and gas dictionary and the Vietnamese Wikipedia. In the results, a novelty way for data integration with higher accuracy by using a combination of algorithms. The first Vietnamese oil and gas ontology was built in Vietnam. This ontology is a useful tool for staff in the oil and gas industry in training, research, search daily.
PB  - Springer Nature 2018
VL  - 10751
TI  - A Positive-Unlabeled Learning Model for Extending a Vietnamese Petroleum Dictionary Based on Vietnamese Wikipedia Data
SP  - 190
M2  - Dong Hoi, Vietnam
AV  - none
EP  - 199
T2  - 2018 10th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
ER  -