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WDFed: Exploiting Cloud Databases Using Metadata and RESTful APIs

  • Xin WangEmail author
  • Thanassis Tiropanis
  • Ramine Tinati
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 672)

Abstract

As a result of the development of Big Data and cloud databases, a huge amount of data are available on the Web, not only as dump files but also in databases. Due to the volume and heterogeneity of these data, it is a challenging task to find and consume them. To reduce the barrier of data sharing and reuse on the Web, we propose a data cataloguing framework called WDFed that combines the strength of both Linked Data and REST. WDFed adopts the Data Catalog Vocabulary (DCAT) to harmonise database metadata, and develops a two-way mapping between DCAT and a RESTful API. This framework provides an interoperable middle layer that enables humans as well as applications to discover and consume Big Data on the Web in a semi-automatic manner. The framework is implemented in a data portal called Web Observatory and we present several use cases to evaluate the framework.

Keywords

Linked data Metadata REST DCAT OAuth 2.0 Cloud database Schema.org Distributed system 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Web and Internet Science Group, Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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