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Integrating Inter-field Data into Space-Time to Grasp and Analyze Activities in Town

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12782)

Abstract

The development of open data by local governments and data platforms for each field is progressing. These are broad ranged data on each area, such as traffic, disaster prevention, retail and services, and are expected to be useful information sources both for citizens and visitors. On the other hand, although these data are usually deployed in a network reachable place, when they have to be handled individually according to its own format, and in some cases, conversion both in format and in semantics are required, which is a barrier to use.

In this paper, on the premise of the existence of a data platform that is developed for each field, the functions necessary for a data linkage infrastructure that enables them to be integrated and used are shown. In particular, a methodology which integrates each piece of information into space-time space is proposed. And also the paper shows an interactive visual dashboard to grasp and analyze activities in town. This application aims to provide information to help managing town.

Keywords

  • Integration of heterogeneous contents
  • Data linkage
  • Smart city
  • GIS

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Notes

  1. 1.

    https://www.cs.ox.ac.uk/isg/challenges/sem-tab/2020/.

  2. 2.

    https://gdal.org/.

  3. 3.

    https://www.elastic.co/.

  4. 4.

    JIS X 0410:2002, http://www.stat.go.jp/data/mesh/.

  5. 5.

    https://www.e-stat.go.jp/help/view-on/map/boundary_data.

  6. 6.

    https://www.post.japanpost.jp/zipcode/download.html.

  7. 7.

    https://ckan.pf-sapporo.jp/dataset/sapporo_food_business_licences.

  8. 8.

    https://ckan.pf-sapporo.jp/dataset/sapporo_environmental_hygiene_services.

  9. 9.

    https://www.agoop.co.jp/service/point-data/.

References

  1. Aihara, K., Takasu, A.: Development of one-stop smart city application by interdisciplinary data linkage. In: Streitz, N., Konomi, S. (eds.) HCII 2020. LNCS, vol. 12203, pp. 379–390. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50344-4_27

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Acknowledgments

The authors would like to thank City of Sapporo, Secoma Campany, Ltd., HOKUNO Co., Ltd., and the Distribution Economics Institute of Japan (DEIJ) for their cooperation with this research.

This work was supported by Cabinet Office, Government of Japan, Cross-ministerial Strategic Innovation Promotion Program (SIP), “Big-data and AI-enabled Cyberspace Technologies” (funding agency: the New Energy and Industrial Technology Development Organization, NEDO).

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Correspondence to Kenro Aihara .

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Aihara, K., Takasu, A. (2021). Integrating Inter-field Data into Space-Time to Grasp and Analyze Activities in Town. In: Streitz, N., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2021. Lecture Notes in Computer Science(), vol 12782. Springer, Cham. https://doi.org/10.1007/978-3-030-77015-0_1

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  • DOI: https://doi.org/10.1007/978-3-030-77015-0_1

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