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

Spiros Mouzakitis (), Dimitris Papaspyros (), Michael Petychakis (), Sotiris Koussouris (), Anastasios Zafeiropoulos (), Eleni Fotopoulou (), Lena Farid (), Fabrizio Orlandi (), Judie Attard () and John Psarras ()
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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

Information Systems Frontiers, 2017, vol. 19, issue 2, No 10, 336 pages

Abstract: 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.

Keywords: Linked data; Public sector information; Open data; RDF; Analytics (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10796-016-9687-1

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