Representing Statistical Indexes as Linked Data Including Metadata about Their Computation Process

  • Jose Emilio Labra Gayo
  • Hania Farham
  • Juan Castro Fernández
  • Jose María Álvarez Rodríguez
Conference paper

DOI: 10.1007/978-3-319-13674-5_5

Part of the Communications in Computer and Information Science book series (CCIS, volume 478)
Cite this paper as:
Labra Gayo J.E., Farham H., Fernández J.C., Álvarez Rodríguez J.M. (2014) Representing Statistical Indexes as Linked Data Including Metadata about Their Computation Process. In: Closs S., Studer R., Garoufallou E., Sicilia MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham

Abstract

In this paper we describe the development of the Web Index linked data portal that represents statistical index data and the computations from which it has been obtained.

The Web Index is a multi-dimensional measure of the World Wide Web’s contribution to development and human rights globally. It covers 81 countries and incorporates indicators that assess several areas like universal access; freedom and openness; relevant content; and empowerment.

In order to empower the Web Index transparency, we established as an internal requirement that every published data could be externally verified. The verification could be that it was just raw data obtained from a secondary source, in which case, the system must provide a link to that data source or that the value has been internally computed, in which case, the system provides links to the values from which it has been calculated. The resulting portal contains data that can be tracked to its sources so an external agent can validate the whole index computation process.

We describe the different aspects involved in the development of the WebIndex data portal that also offers new linked data visualization tools. Although in this paper we concentrate on the Web Index development, this approach can be generalized to other projects which involve the publication of externally verifiable computations.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jose Emilio Labra Gayo
    • 1
  • Hania Farham
    • 2
  • Juan Castro Fernández
    • 1
  • Jose María Álvarez Rodríguez
    • 3
  1. 1.WESO Research GroupCarlos III UniversitySpain
  2. 2.The Web FoundationCarlos III UniversitySpain
  3. 3.Dept. Computer ScienceCarlos III UniversitySpain

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