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Geo-Ontology-Based Object-Oriented Spatiotemporal Data Modeling

  • Conference paper
Pervasive Computing and the Networked World (ICPCA/SWS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7719))

Abstract

Spatiotempoal data model is fundamental to geospatial data representation, organization, analysis and applications. Due to the absence of geospatial semantic modeling and its logical structure, the spatiotemporal data may be interpreted mistakenly by other users or by other systems. For multi-purpose urban geospatial information development and sharing, spatial entities and their semantics should be modeled carefully. This paper presents strategy in geo-ontology-based object-oriented spatiotemporal data modeling to design a geospatial data model which can solve the problems of semantic conflict, and is ease of backtracking query and data sharing. A new approach is proposed to enterprise-level urban geospatial data integration, management and sharing. Modeling experiences show that it is easy to storage, manage and distribute spatiotemporal data for urban enterprise-level GIS applications in the network environment.

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Author information

Authors and Affiliations

  1. College of Geomatic Engineering and Geoinformatics, Guilin University of Technology, Guilin, China

    Jingwen Li & Yanyan Liang

  2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China

    Jingwen Li

  3. Birmingham City University, Birmingham, The United Kingdom

    Jizheng Wan

Authors
  1. Jingwen Li
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  2. Yanyan Liang
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  3. Jizheng Wan
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Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Heping Road 1178, Wuchang District, 430081, Wuhan, Hubei, China

    Qiaohong Zu

  2. Hayes Park Central, Fujitsu Laboratories of Europe Ltd., Hayes End Road, UB4 8FE, Hayes, Middlesex, UK

    Bo Hu

  3. Department of Electrical and Electronics Engineering, Aksaray University, Merkez Kampüsü, 68100, Aksaray, Turkey

    Atilla Elçi

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, J., Liang, Y., Wan, J. (2013). Geo-Ontology-Based Object-Oriented Spatiotemporal Data Modeling. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-37015-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37014-4

  • Online ISBN: 978-3-642-37015-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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