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Issue No.03 - May-June (2012 vol.27)
pp: 11-15
Li Ding , Qualcomm
Vassilios Peristeras , European Commission
Michael Hausenblas , National University of Ireland, Galway
Government data covers authoritative and valuable information about our society. Public access to government data, however, remains challenging largely due to the heterogeneity and complexity of the public information ecosystem which results in high costs for locating, decoding, inter-linking and reusing existing government data. Recently, linked data–based solutions have been adopted by the leading practitioners (such as in the US and in the UK) to offer an open and incremental ecosystem that interconnects providers, consumers, and contributors of open government data. This article first reports a community consensus on the architecture of the linked open government data ecosystem, then reviews the key technologies reported by works included in this special issue, and finally concludes with three grand challenges towards opening, linking, and reusing government data.
open government data, information management, linked data, Semantic Web, electronic government, semantics, government data processing, challenge, data-oriented architectures
Li Ding, Vassilios Peristeras, Michael Hausenblas, "Linked Open Government Data", IEEE Intelligent Systems, vol.27, no. 3, pp. 11-15, May-June 2012, doi:10.1109/MIS.2012.56
1. T. Heath and C. Bizer, “Linked Data: Evolving the Web into a Global Data Space,” Synthesis Lectures on the Semantic Web: Theory and Technology, J. Hendler, and Y. Ding eds., Morgan & Claypool, 2011, pp. 1–136.
2. L. Ding et al., “TWC LOGD: A Portal for Linked Open Government Data Ecosystems,” J. Web Semantics, vol. 9, no. 3, 2011, pp. 325–333.
3. E. Kalampokis, M. Hausenblas, and K. Tarabanis, “Combining Social and Government Open Data for Participatory Decision-Making,” Proc. 3rd Int'l Conf. eParticipation (ePart 11), LNCS 6847, Springer, 2011, pp. 36–47.
4. F. Maali, R. Cyganiak, and V. Peristeras, “Enabling Interoperability of Government Data Catalogs,” Proc. 9th Int'l. Conf. Electronic Government (EGOV 10), LNCS 6228, Springer, 2010, pp. 339–350.
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