Abstract
This paper contributes to the understanding of challenges related to publishing and consuming public sector information using Linked Data tools. Linked Data paradigm has opened new possibilities and perspectives for the process of collecting and monitoring socio-economic indicators. Due to multidimensionality of the statistical data, in order to ensure efficient exploration and analysis, hierarchical data structures are needed for modeling the space and time dimensions. This paper presents several illustrative examples of modeling, analyzing and visualization of Linked Data from Serbian government bodies. The approach utilizes tools from the Linked Data stack, as well as the first prototype of the Exploratory Spatio-Temporal Analysis component that has been developed in the GeoKnow project framework.
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References
Decision no 922/2009/EC of the European parliament and of the Council of 16 September 2009 on Interoperability Solutions for European Public Administrations (ISA). Official Journal of the European Union, L 260/20 (October 3, 2009), http://ec.europa.eu/isa/documents/isa_lexuriserv_en.pdf
Auer, S., Lehmann, J.: Making the web a data washing machine - creating knowledge out of interlinked data. Semantic Web Journal 1(12), 97–104 (2010)
Cyganiak, R., Wood, D., Lanthaler, M.: RDF 1.1 Concepts and Abstract Syntax (February 25, 2014), http://www.w3.org/TR/2014/REC-rdf11-concepts-20140225/Overview.html
Stadler, C., Martin, M., Auer, S.: Exploring the Web of Spatial Data with Facete. In: Companion Proceedings of 23rd International World Wide Web Conference, WWW, pp. 175–178 (2014)
Salas, P.E., Maia Da Mota, F., Breitman, K., Casanova, M.A., Martin, M., Auer, S.: Publishing Statistical Data on the Web. International Journal of Semantic Computing 06(04), 373–388 (2012)
Alonso, J.M.: Announcing the Global Open Data Initiative (GODI). World Wide Web Foundation (June 11, 2013), http://www.webfoundation.org/2013/06/announcing-the-global-open-data-initiative-godi/
Open Data Barometer - 2013 Global Report (2013), http://www.opendataresearch.org/dl/odb2013/Open-Data-Barometer-2013-Global-Report.pdf
Orientation paper: research and innovation at EU level under Horizon 2020 in support of ICT-driven public sector. EC Digital Agenda news (May 22, 2013), http://ec.europa.eu/information_society/newsroom/cf/dae/document.cfm?doc_id=2588
Indicators and regional development policies. The Italian position and current practice. Ministry of Economic Development - ITALY (2008), http://www.dps.mef.gov.it/documentazione/docs/all/postion_paper_indicators%2029%2002%2008.pdf
Schönthale, K., von Andrian-Werburg, S.: Identification and Selection of Indicators, DIAMONT Work Package Report, http://www.uibk.ac.at/diamont/downloads/workpackages/WP7_finalreport_070514.pdf
Janev, V., et al.: Supporting the Linked Data publication process with the LOD2 Statistical Workbench. Semantic Web Journal (under review), http://www.semantic-web-journal.net/content/supporting-linked-data-publication-process-lod2-statistical-workbench
Cyganiak, R., Reynolds, D.: The RDF Data Cube vocabulary (January 16, 2014), http://www.w3.org/TR/vocab-data-cube/
SDMX Information model: UML Conceptual Design (version 2.0) (November 2005), http://sdmx.org/docs/2_0/SDMX_2_0%20SECTION_02_InformationModel.pdf
Janev, V., Mijović, V., Vraneš, S.: LOD2 Tool for Validating RDF Data Cube Models. In: Trajkovik, V., Mishev, A. (eds.) Web Proceedings of the 5th ICT Innovations Conference, Ohrid, Macedonia, September 12-15 (2013), http://ict-act.org/proceedings/2013/htmls/papers/icti2013_submission_01.pdf
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Janev, V., Mijović, V., Paunović, D., Milošević, U. (2014). Modeling, Fusion and Exploration of Regional Statistics and Indicators with Linked Data Tools. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2014. Lecture Notes in Computer Science, vol 8650. Springer, Cham. https://doi.org/10.1007/978-3-319-10178-1_17
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DOI: https://doi.org/10.1007/978-3-319-10178-1_17
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