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Publishing Multidimensional Statistical Linked Data

Authors:
Airton Zancanaro
Leandro Dal Pizzol
Rafael de Moura Speroni
José Leomar Todesco
Fernando Alvaro Ostuni Gauthier

Keywords: Linked Data; OLAP; Open Data; RDF Data Cube; Statistical Data

Abstract:
The access information law approved by the Brazilian government regulates the provision of open government data in the Web. However, they are heterogeneous, unstructured and derived from independent sources, making it difficult to interconnect. This paper presents a process of identifying sources, ontology generation, mapping and publishing statistical linked data in the form of multidimensional cubes, represented by the RDF Data Cube Vocabulary. In this process, data are transformed and assigned semantic meaning through its connection with domain ontologies. Through a web application, the publication of these data is automated, allowing for future analysis operations with the use of Online Analytical Processing (OLAP). As a result, the approach is expected to increase the scale in the publication of statistical linked data, and therefore, increasing the potential for analysis.

Pages: 97 to 103

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-254-7

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013