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A System for Spatial-Temporal Trajectory Data Integration and Representation

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Database Systems for Advanced Applications (DASFAA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10828))

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Abstract

Different GPS devices and transportation companies record and store their data using various formats. Even though GPS data often contains the same spatial-temporal and semantic attributes, describing the moving object’s trajectory, the integration of these datasets into a single format and storage platform is yet an issue. Therefore, we deliver a data integration system for simplified loading and preprocessing of trajectory data into a standard text platform; this facilitates data access and processing by any trajectory application using multiple and heterogeneous datasets.

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Notes

  1. 1.

    MongoDB. https://www.mongodb.com/.

  2. 2.

    HBase. https://hbase.apache.org/.

  3. 3.

    VoltDB. https://www.voltdb.com/.

  4. 4.

    https://github.com/douglasapeixoto/trajectory-data-loader.

  5. 5.

    https://www.mongodb.com/json-and-bson.

References

  1. Jo, J., Tsunoda, Y., Stantic, B., Liew, A.W.-C.: A likelihood-based data fusion model for the integration of multiple sensor data: a case study with vision and lidar sensors. In: Kim, J.-H., Karray, F., Jo, J., Sincak, P., Myung, H. (eds.) Robot Intelligence Technology and Applications 4. AISC, vol. 447, pp. 489–500. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-31293-4_39

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  2. Spaccapietra, S., Parent, C., Damiani, M.L., de Macedo, J.A., Porto, F., Vangenot, C.: A conceptual view on trajectories. Data Knowl. Eng. 65(1), 126–146 (2008)

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  3. Zheng, Y.: Trajectory data mining: an overview. ACM Trans. Intell. Syst. Tech. (TIST) 6, 29 (2015)

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  4. Zheng, Y., Zhou, X.: Computing with Spatial Trajectories. Springer Science and Business Media, Heidelberg (2011). https://doi.org/10.1007/978-1-4614-1629-6

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Acknowledgments

This research is partially supported by the Brazilian National Council for Scientific and Technological Development (CNPq).

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Authors and Affiliations

  1. The University of Queensland, Brisbane, Australia

    Douglas Alves Peixoto, Xiaofang Zhou & Dan He

  2. Griffith University, Gold Coast, Australia

    Nguyen Quoc Viet Hung & Bela Stantic

Authors
  1. Douglas Alves Peixoto
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  2. Xiaofang Zhou
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  3. Nguyen Quoc Viet Hung
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  4. Dan He
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  5. Bela Stantic
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Corresponding author

Correspondence to Douglas Alves Peixoto .

Editor information

Editors and Affiliations

  1. Simon Fraser University, Burnaby, BC, Canada

    Jian Pei

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

  3. University of Queensland, Brisbane, QLD, Australia

    Shazia Sadiq

  4. University of Western Australia, Crawley, WA, Australia

    Jianxin Li

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Peixoto, D.A., Zhou, X., Hung, N.Q.V., He, D., Stantic, B. (2018). A System for Spatial-Temporal Trajectory Data Integration and Representation. In: Pei, J., Manolopoulos, Y., Sadiq, S., Li, J. (eds) Database Systems for Advanced Applications. DASFAA 2018. Lecture Notes in Computer Science(), vol 10828. Springer, Cham. https://doi.org/10.1007/978-3-319-91458-9_53

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  • DOI: https://doi.org/10.1007/978-3-319-91458-9_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91457-2

  • Online ISBN: 978-3-319-91458-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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