SCOVO: Using Statistics on the Web of Data

Authors:
Michael Hausenblas;Wolfgang Halb;Yves Raimond;Lee Feigenbaum;Danny Ayers
Affiliations:
DERI, National University of Ireland, Galway, Galway, Ireland;Institute of Information Systems & Information Management, JOANNEUM RESEARCH, Graz, Austria 8010;BBC Audio & Music interactive, London, United Kingdom;Cambridge Semantics, Cambridge, United States MA 02142;Talis Ltd, United Kingdom B37 7YB
Venue:
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Year:
2009

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Abstract

Statistical data is present everywhere--from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, and using this data has entered a new stage. In order to enable proprietary, closed-world formats, to enter the Web of Data, we propose a framework for modelling and publishing statistical data. To illustrate the usefulness of our approach we demonstrate its application in real-world statistical datasets.