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Proposing Spatial - Temporal - Semantic Data Model Managing Genealogy and Space Evolution History of Objects in 3D Geographical Space

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Context-Aware Systems and Applications, and Nature of Computation and Communication (ICCASA 2020, ICTCC 2020)

Abstract

Managing construction projects in new urban areas is an essential work for construction contractors as well as authorities at all levels. In this management, managing the spatial evolutionary history of two-dimensional (2D), two-point-five-dimensional (2.5D) and three-dimensional (3D) spatial objects over time and semantics in 3D geographical space is an urgent and extremely important work. This paper proposes a spatial - temporal - semantic data model (STSDM), spatial queries over time and semantics, and algorithms finding the ancestors and descendants of space objects (ASA and DSA). The paper presents some empirical results about the spatial evolutionary history of spatial objects over time and semantics. The experimental results show that it can completely be used to trace the space evolution history of bridges, houses and apartments at a given time or in a given period in new urban management applications.

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Authors and Affiliations

  1. Faculty of Information Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Dang Van Pham

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  1. Dang Van Pham
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Correspondence to Dang Van Pham .

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Editors and Affiliations

  1. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Phan Cong Vinh

  2. The University of the West of England, Bristol, UK

    Abdur Rakib

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Van Pham, D. (2021). Proposing Spatial - Temporal - Semantic Data Model Managing Genealogy and Space Evolution History of Objects in 3D Geographical Space. In: Vinh, P.C., Rakib, A. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2020 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-67101-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-67101-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67100-6

  • Online ISBN: 978-3-030-67101-3

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