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Frontiers in Intelligent Computing: Theory and Applications pp 47–56Cite as

Vietnamese Tourism Linked Open Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1014))

Abstract

This paper focuses on describing the process of building a linked open data repository for presenting tourist resources, which presently contains more than 100,000 places in big cities of Vietnam. This information is extracted and integrated from various sources on the Internet, which are famous social networks or tourism websites, for example, Booking.com, Mytour, Vinalo, etc. These massive and heterogeneous materials would be described via a semantic knowledge base presented in RDF/XML format that is accessible by SPARQL query. Concentrating in studying the concept of linked open data with its publishing processes, this work adjusts and improves the repository to become a standardized linked open data and allows it connect with other famous ontology such as DBpedia.

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Author information

Authors and Affiliations

  1. Information Technology Department, Academy of Cryptography Techniques, Hanoi, Vietnam

    Anh Tien Le

  2. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam

    Tuan-Dung Cao

Authors
  1. Anh Tien Le
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  2. Tuan-Dung Cao
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Corresponding author

Correspondence to Anh Tien Le .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Duy Tan University, Da Nang, Vietnam

    Bao Le Nguyen

  4. Graduate School, Duy Tan University, Da Nang, Vietnam

    Nhu Gia Nguyen

  5. Faculty of Information Technology, Hai Phong University, Hai Phong, Vietnam

    Dac-Nhuong Le

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Cite this paper

Le, A.T., Cao, TD. (2020). Vietnamese Tourism Linked Open Data. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-13-9920-6_5

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