Linked Data and Government

London: 1 June 2010

The ePSIplatform has published the 7th in a series of Topic Reports on PSI Re-use and Open Data topics. This latest report is a briefing on the issues, developments and potential of linked data for governments and re-use of public sector information.

Title: Linked Data and Government

Author: Paul Miller, The Cloud of Data, UK

Publication Date: 1 June 2010

About the Author

Paul Miller [Paul Miller, Cloud of Data] is an independent consultant, focused upon helping clients to realise the benefits of emerging trends such as Cloud Computing and the Semantic Web. Previous positions have included a senior role at UK technology company Talis, and the post of Director at the Common Information Environment, a consortium of UK public sector organisations including the BBC, the British Library, the Joint Information Systems Committee (JISC) and the National Health Service (NHS). He has served in a variety of advisory and monitoring capacities, including the Executive Committees of the Dublin Core Metadata Initiative (DCMI) and Consortium for the Computer Interchange of Museum Information (CIMI).

Paul writes for ZDNet on the Semantic Web [The Semantic Web | ZDNet], and routinely presents and chairs panels at industry events. He holds a Doctorate in Archaeology from the University of York.

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About ePSIplatform Topic Reports

Topic Reports will continue to be published on the ePSIplatform. The authors will come from a wide range of disciplines and include policy makers, business leaders, analysts, researchers and academics from throughout Europe.

The Reports aim to:

  • Provide analytical briefings on PSI re-use issues across key sectors such as geographic, meteorological, business, legal, registries and others
  • Support and promote dialogue about and information sharing on developments and good practices
  • Monitor business practices and political strategies promoting PSI Re-use

Suggestions for Topic Reports are welcome and can be submitted to the European PSI Platform Team

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