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Designing API for Using Publicly Accessible Data Sets

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Smart Innovations in Engineering and Technology (ICACON 2017, APCASE 2017)

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 15))

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Abstract

The paper explores two aspects of using data which is shared in clouds. First of all, authors present steps of data preprocessing which allow the usage of nearly each data source available in public data sets. Authors give hints in which situations it is recommended using replication and synchronization mechanisms. Furthermore, authors discuss possible ways of publishing own API from middleware tier for client application, mainly REST API, GraphQL and OData. Static REST API gives more control of the way the data is being queried. On the other hand, if you have many different client applications making use of data the GraphQL gives much more flexibility for API usage. OData gives common way query, filter and structure response data but adheres to server domain model. Our findings can be useful by organizations while exposing new data sets for public usage. Moreover, the authors summarize the paper and outline directions for further work.

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Author information

Authors and Affiliations

  1. Institute of Computer and Information Systems, Faculty of Cybernetics, Military University of Technology, Warsaw, Poland

    Tomasz Górski

  2. IBM Polska Business Services Sp. z o.o, Warsaw, Poland

    Ewa Wojtach

Authors
  1. Tomasz Górski
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  2. Ewa Wojtach
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Corresponding author

Correspondence to Tomasz Górski .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ryszard Klempous

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Jan Nikodem

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Górski, T., Wojtach, E. (2020). Designing API for Using Publicly Accessible Data Sets. In: Klempous, R., Nikodem, J. (eds) Smart Innovations in Engineering and Technology. ICACON APCASE 2017 2017. Topics in Intelligent Engineering and Informatics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-32861-0_6

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