SCOVO: Using Statistics on the Web of Data

dc.contributor.author	Hausenblas, Michael	en
dc.date.accessioned	2009-11-27T15:57:06Z	en
dc.date.available	2009-11-27T15:57:06Z	en
dc.date.issued	2009	en
dc.identifier.citation	Michael Hausenblas, Wolfgang Halb, Yves Raimond, Lee Feigenbaum, Danny Ayers "SCOVO: Using Statistics on the Web of Data", Semantic Web in Use Track of the 6th European Semantic Web Conference (ESWC2009), 2009.	en
dc.identifier.uri	http://hdl.handle.net/10379/443	en
dc.description.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.	en
dc.format	application/pdf	en
dc.language.iso	en	en
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subject.lcsh	Database management	en
dc.subject.lcsh	Statistics	en
dc.title	SCOVO: Using Statistics on the Web of Data	en
dc.type	Conference Paper	en
dc.description.peer-reviewed	peer-reviewed	en
dc.contributor.funder	Romulus	en
nui.item.downloads	1407

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland