Research Article
Ontology-Based Semantic Search for National Database of Natural Resources and Environment
@INPROCEEDINGS{10.1007/978-3-030-30149-1_13, author={Ngoc-Vu Nguyen and Hong-Son Bui and Quang-Thuy Ha}, title={Ontology-Based Semantic Search for National Database of Natural Resources and Environment}, proceedings={Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings}, proceedings_a={INISCOM}, year={2019}, month={9}, keywords={Ontology Semantic search Search engine Ontology-based semantic search}, doi={10.1007/978-3-030-30149-1_13} }- Ngoc-Vu Nguyen
Hong-Son Bui
Quang-Thuy Ha
Year: 2019
Ontology-Based Semantic Search for National Database of Natural Resources and Environment
INISCOM
Springer
DOI: 10.1007/978-3-030-30149-1_13
Abstract
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).
