Ontology-Based Semantic Search for National Database of Natural Resources and Environment

Nguyen, Ngoc Vu and Bui, Hong Son and Ha, Quang Thuy (2019) Ontology-Based Semantic Search for National Database of Natural Resources and Environment. In: 5th EAI International Conference, INISCOM 2019, 17-19 August 2019, Ho Chi Minh City, Vietnam.

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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).

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Information Technology (IT)
Divisions:	Faculty of Information Technology (FIT)
Depositing User:	Hà Quang Thụy
Date Deposited:	14 Oct 2019 03:29
Last Modified:	14 Oct 2019 03:29
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3575

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