Publishing statistical data on the web
|Publishing statistical data on the web|
|Author(s)||Salas P.E.R., Martin M., Mota F.M.D., Auer S., Breitman K., Casanova M.A.|
|Published in||Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012|
|Keyword(s)||Cube Viz, Data cube, Linked Data, OLAP, Onto Wiki, RDF, statistical data, Visualization (Extra: Cube Viz, Data cube, Linked datum, OLAP, Onto Wiki, RDF, Statistical datas, Flow visualization, Semantic Web, Semantics, Visualization, Statistics)|
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Publishing statistical data on the web is a 2012 conference paper written in English by Salas P.E.R., Martin M., Mota F.M.D., Auer S., Breitman K., Casanova M.A. and published in Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012.
Statistical data is one of the most important sources of information, relevant for large numbers of stakeholders in the governmental, scientific and business domains alike. In this article, we overview how statistical data can be managed on the Web. With OLAP2 Data Cube and CSV2 Data Cube we present two complementary approaches on how to extract and publish statistical data. We also discuss the linking, repair and the visualization of statistical data. As a comprehensive use case, we report on the extraction and publishing on the Web of statistical data describing 10 years of life in Brazil.
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