Title :
Publishing Statistical Data on the Web
Author :
Salas, Percy E Rivera ; Martin, Michael ; Mota, Fernando Maia Da ; Auer, Sören ; Breitman, Karin ; Casanova, Marco A.
Author_Institution :
Dept. de Inf., Pontificia Univ. Catolica do Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
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.
Keywords :
Internet; data handling; data mining; data visualisation; publishing; statistical analysis; Brazil; CSV2 data cube; OLAP2 data cube; Web; statistical data extraction; statistical data linking; statistical data publishing; statistical data repair; statistical data visualization; Data mining; Databases; Knowledge based systems; Measurement; Reactive power; Resource description framework; Vocabulary; Cube Viz; Data cube; Linked Data; OLAP; Onto Wiki; RDF; Visualization; statistical data;
Conference_Titel :
Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-4433-3
DOI :
10.1109/ICSC.2012.16
