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

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Industrial Networks and Intelligent Systems (INISCOM 2019)

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).

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References

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Authors and Affiliations

  1. University of Engineering and Technology (UET), Vietnam National University, Hanoi (VNU), 144, Xuan Thuy, Cau Giay, Hanoi, Vietnam

    Ngoc-Vu Nguyen & Quang-Thuy Ha

  2. Department of Information Technology, Ministry of Natural Resources and Environment, 28 Pham van Dong, Cau Giay, Hanoi, Vietnam

    Ngoc-Vu Nguyen

  3. Ho Chi Minh City Department of Natural Resources and Environment, 63 Ly Tu Trong, District 1, Ho Chi Minh City, Vietnam

    Hong-Son Bui

Authors
  1. Ngoc-Vu Nguyen
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  2. Hong-Son Bui
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  3. Quang-Thuy Ha
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Corresponding author

Correspondence to Ngoc-Vu Nguyen .

Editor information

Editors and Affiliations

  1. Queen's University Belfast, Belfast, UK

    Trung Quang Duong

  2. Faculty of Electrical and Electronics Engineering, Duy Tan University, Da Nang, Vietnam

    Nguyen-Son Vo

  3. Nong Lam University Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Loi K. Nguyen

  4. School of Science and Technology, Middlesex University, London, UK

    Quoc-Tuan Vien

  5. School of Electronic Engineering, Soongsil University, Seoul, Korea (Republic of)

    Van-Dinh Nguyen

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cite this paper

Nguyen, NV., Bui, HS., Ha, QT. (2019). Ontology-Based Semantic Search for National Database of Natural Resources and Environment. In: Duong, T., Vo, NS., Nguyen, L., Vien, QT., Nguyen, VD. (eds) Industrial Networks and Intelligent Systems. INISCOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-030-30149-1_13

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  • DOI: https://doi.org/10.1007/978-3-030-30149-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30148-4

  • Online ISBN: 978-3-030-30149-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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