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

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 478)


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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  1. 1.
    Abou-Zahra, S.: Evaluation and Report Language EARL 1.0 schema. W3C Working Draft (2011),
  2. 2.
    Alvarez Rodríguez, J.M., Clement, J., Labra Gayo, J.E., Farhan, H., Ordoñez, P.: Publishing Statistical Data following the Linked Open Data Principles: The Web Index Project. In: Cases on Open-Linked Data and Semantic Web Applications, pp. 199–226. IGI Global (2013), doi:10.4018/978-1-4666-2827-4.ch011Google Scholar
  3. 3.
    Boneva, I., Labra, J.E., Hym, S., Prud’hommeau, E.G., Solbrig, H., Staworko, S.: Validating RDF with Shape Expressions. ArXiv e-prints (April 2014)Google Scholar
  4. 4.
    Capadisli, S., Auer, S., Ngonga Ngomo, A.-C.: Linked sdmx data. Semantic Web Journal, 1–8 (2013)Google Scholar
  5. 5.
    Cifuentes Silva, F.A., Sifaqui, C., Labra Gayo, J.E.: Towards an architecture and adoption process for linked data technologies in open government contexts: a case study for the library of congress of chile. In: Ghidini, C., Ngomo, A.-C.N., Lindstaedt, S.N., Pellegrini, T. (eds.) I-SEMANTICS. ACM International Conference Proceeding Series, pp. 79–86. ACM (2011)Google Scholar
  6. 6.
    Clark, K., Sirin, E.: On RDF validation, stardog ICV, and assorted remarks. In: RDF Validation Workshop. Practical Assurances for Quality RDF Data, Cambridge, Ma, Boston (September 2013), W3c,
  7. 7.
    Coyle, K., Baker, T.: Dublin core application profiles. separating validation from semantics. In: RDF Validation Workshop. Practical Assurances for Quality RDF Data, Cambridge, Ma, Boston (September 2013), W3c,
  8. 8.
    Cyganiak, R., Bizer, C.: Pubby: A linked data frontend for sparql endpoints,
  9. 9.
    Cyganiak, R., Reynolds, D.: The RDF Data Cube Vocabulary, W3c Candidate Recommendation (2013),
  10. 10.
    Harris, S., Seaborne, A.: SPARQL 1.1 Query Language (2013),
  11. 11.
    Hogan, A., Harth, A., Passant, A., Decker, S., Polleres, A.: Weaving the pedantic web. In: Linked Data on the Web Workshop (LDOW 2010) at WWW 2010. CEUR Workshop Proceedings, vol. 628, pp. 30–34 (2010)Google Scholar
  12. 12.
    Kontokostas, D., Westphal, P., Auer, S., Hellmann, S., Lehmann, J., Cornelissen, R., Zaveri, A.: Test-driven evaluation of linked data quality. In: Proceedings of the 23rd International Conference on World Wide Web, WWW 2014, Republic and Canton of Geneva, Switzerland, pp. 747–758 (2014), International World Wide Web Conferences Steering CommitteeGoogle Scholar
  13. 13.
    Labra, J.E., Alvarez Rodríguez, J.M.: Validating statistical index data represented in RDF using SPARQL queries. In: RDF Validation Workshop. Practical Assurances for Quality RDF Data, Cambridge, Ma, Boston (September 2013),, W3c
  14. 14.
    Lange, C.: Ontologies and languages for representing mathematical knowledge on the semantic web. Semantic Web 4(2), 119–158 (2013)Google Scholar
  15. 15.
    Mendes, P.N., Mühleisen, H., Bizer, C.: Sieve: Linked data quality assessment and fusion. In: Proceedings of the 2012 Joint EDBT/ICDT Workshops, EDBT-ICDT 2012, pp. 116–123. ACM, New York (2012)Google Scholar
  16. 16.
    Motik, B., Horrocks, I., Sattler, U.: Adding Integrity Constraints to OWL. In: Golbreich, C., Kalyanpur, A., Parsia, B. (eds.) OWL: Experiences and Directions 2007 (OWLED 2007), Innsbruck, Austria, June 6-7 (2007)Google Scholar
  17. 17.
    RDF Working Group W3c. W3c validation workshop. practical assurances for quality rdf data (September 2013)Google Scholar
  18. 18.
    Reynolds, D.: The Organization Ontology (2014),
  19. 19.
    Ryman, A.G., Hors, A.L., Speicher, S.: OSLC resource shape: A language for defining constraints on linked data. In: Bizer, C., Heath, T., Berners-Lee, T., Hausenblas, M., Auer, S. (eds.) Linked Data on the Web. CEUR Workshop Proceedings, vol. 996. (2013)Google Scholar
  20. 20.
    Tao, J., Sirin, E., Bao, J., McGuinness, D.L.: Integrity constraints in OWL. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI 2010). AAAI (2010)Google Scholar
  21. 21.
    Wenzel, K., Reinhardt, H.: Mathematical computations for linked data applications with openmath. In: Conferences on Intelligent Computer Mathematics, CICM 2012 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  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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