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dc.contributor.authorHausenblas, Michaelen
dc.date.accessioned2009-11-27T15:57:06Zen
dc.date.available2009-11-27T15:57:06Zen
dc.date.issued2009en
dc.identifier.citationMichael 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.urihttp://hdl.handle.net/10379/443en
dc.description.abstractStatistical 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.formatapplication/pdfen
dc.language.isoenen
dc.subject.lcshDatabase managementen
dc.subject.lcshStatisticsen
dc.titleSCOVO: Using Statistics on the Web of Dataen
dc.typeConference paperen
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderRomulusen
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