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Challenges and opportunities in renovating public sector information by enabling linked data and analytics

Author

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  • Spiros Mouzakitis

    (National Technical University of Athens)

  • Dimitris Papaspyros

    (National Technical University of Athens)

  • Michael Petychakis

    (National Technical University of Athens)

  • Sotiris Koussouris

    (National Technical University of Athens)

  • Anastasios Zafeiropoulos

    (UBITECH Ltd, Thessalias 8 & Etolias 10)

  • Eleni Fotopoulou

    (UBITECH Ltd, Thessalias 8 & Etolias 10)

  • Lena Farid

    (Fraunhofer FOKUS)

  • Fabrizio Orlandi

    (University of Bonn)

  • Judie Attard

    (University of Bonn)

  • John Psarras

    (National Technical University of Athens)

Abstract

Linked Data has become the current W3C recommended approach for publishing data on the World Wide Web as it is sharable, extensible, and easily re-usable. An ecosystem of linked data hubs in the Public Sector has the potential to offer significant benefits to its consumers (other public offices and ministries, as well as researchers, citizens and SMEs), such as increased accessibility and re-use value of their data through the use of web-scale identifiers and easy interlinking with datasets of other public data providers. The power and flexibility of the schema-defying Linked Data, however, is counterbalanced by inborn factors that diminish the potential for cost-effective and efficient adoption by the Public Sector. The paper analyzes these challenges in view of the current state-of-the-art in linked data technologies and proposes a technical framework that aims to hide the underlying complexity of linked data while maintaining and promoting the interlinking capabilities enabled by the Linked Data Paradigm. The paper presents the innovations behind our proposed solutions as well as their advantages, especially for the non-expert users.

Suggested Citation

  • Spiros Mouzakitis & Dimitris Papaspyros & Michael Petychakis & Sotiris Koussouris & Anastasios Zafeiropoulos & Eleni Fotopoulou & Lena Farid & Fabrizio Orlandi & Judie Attard & John Psarras, 2017. "Challenges and opportunities in renovating public sector information by enabling linked data and analytics," Information Systems Frontiers, Springer, vol. 19(2), pages 321-336, April.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:2:d:10.1007_s10796-016-9687-1
    DOI: 10.1007/s10796-016-9687-1
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    Cited by:

    1. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 0. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 0, pages 1-7.
    2. Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 2021. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 23(1), pages 243-262, February.
    3. Abdallah Khelil & Amin Mesmoudi & Jorge Galicia & Ladjel Bellatreche & Mohand-Saïd Hacid & Emmanuel Coquery, 2021. "Combining Graph Exploration and Fragmentation for Scalable RDF Query Processing," Information Systems Frontiers, Springer, vol. 23(1), pages 165-183, February.
    4. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 2017. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 19(2), pages 189-195, April.
    5. Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 0. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 0, pages 1-20.

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