TY  - CONF
ID  - SisLab3575
UR  - https://link.springer.com/chapter/10.1007%2F978-3-030-30149-1_13
A1  - Nguyen, Ngoc Vu
A1  - Bui, Hong Son
A1  - Ha, Quang Thuy
Y1  - 2019/08/17/
N2  - Semantic search helps the user queries to be understandable for electric agents searching. In this way, ontology plays the main role to define the semantic and the relations between user queries. The national database of natural resources and environment is a very large database system. Therefore, building a search engine software for the system with high accuracy and fast speed is very important for sharing information in the field of natural resources and environment. However, the existing search engine software in the national database needs to be improved to better meet user?s needs. We proposed the architecture of ontology-based semantic search for the national database of natural resources and environment. Based on the proposed architecture, we have built semantic search software (VnNRESS) to demonstrate better results than the existing search software (NRESearch).
TI  - Ontology-Based Semantic Search for National Database of Natural Resources and Environment
M2  - Ho Chi Minh City, Vietnam
AV  - public
T2  - 5th EAI International Conference, INISCOM 2019
ER  -