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Structured Data REST Protocol for End to End Data Mashup

Author

Listed:
  • Prakash Narayan Hardaha

    (Barkatullah University Institute of Technology, Barkatullah University, Bhopal 462026, MP, India)

  • Shailendra Singh

    (Department of Computer Engineering & Applications, National Institute of Technical Teacher’s Training and Research, Bhopal 462002, MP, India)

Abstract

Due to the exponential growth of the data and its services, visiting multiple webs/apps by a user raises three issues—(1) consumption of extra bytes; (2) time killing process of surfing inside the webs/apps; (3) tedious task of remembering address of webs/apps with their credentials. The data mashup is a set of techniques and user-friendly approaches which not only resolves above issues but also allows ordinary user to fetch required data from multiple disparate data sources and to create the integrated view in his defined digital place. In this paper, we have proposed an extension of existing REST protocol called Structured Data REST (SDRest) protocol and user-friendly novel approach which allows even ordinary users to develop end to end data mashup, using the innovative concept of Structured Data Mashup Box (SDMB) and One Time Configuration (OTC)-Any Time Access (ATA) models. Our implementation shows that pre-mashup configuration can easily be performed by an ordinary user and an integrated user interface view of end user data mashup can be created without any technical knowledge or programming. We have also evaluated the proposed work by comparing it with some of the related works and found that the proposed work has developed user friendly configurable approach using the current state of the art techniques to involve not only the ordinary user but also the mashup service provider and the data service provider to develop public, private and hybrid data mashup.

Suggested Citation

  • Prakash Narayan Hardaha & Shailendra Singh, 2018. "Structured Data REST Protocol for End to End Data Mashup," Future Internet, MDPI, vol. 10(10), pages 1-37, October.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:10:p:98-:d:173665
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    References listed on IDEAS

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    1. Brandon Beemer & Dawn Gregg, 2009. "Mashups: A Literature Review and Classification Framework," Future Internet, MDPI, vol. 1(1), pages 1-29, December.
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