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

fYear

2012

fDate

19-21 Sept. 2012

Firstpage

285

Lastpage

292

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on

Conference_Location

Palermo

Print_ISBN

978-1-4673-4433-3

Type

conf

DOI

10.1109/ICSC.2012.16

Filename

6337117