Authors:
Ba-Lam Do
;
Tuan-Dat Trinh
;
Peter Wetz
;
Amin Anjomshoaa
;
Elmar Kiesling
and
A. Min Tjoa
Affiliation:
Vienna University of Technology, Austria
Keyword(s):
Statistical Data, RDF Data Cube Vocabulary, Widget, Mashup, Linked Data.
Related
Ontology
Subjects/Areas/Topics:
Data Engineering
;
Data Management and Quality
;
Data Modeling and Visualization
;
Open Data
Abstract:
Today, public statistical data plays an increasingly important role both in public policy formation and as a
facilitator for informed decision-making in the private sector. In line with the increasing adoption of open
data policies, the amount of data published by governments and organizations on the web is growing rapidly.
To increase the value of such data, the W3C recommends the RDF Data Cube Vocabulary to facilitate the
publication of data in a more structured and interlinked manner. Although important first steps toward building
a web of statistical Linked Datasets have been made, providing adequate facilities for end users to interactively
explore and make use of the published data remains an unresolved challenge. This paper presents a widget-based
approach to deal with this issue. In particular, we introduce a mashup platform that allows users lacking
advanced skills and knowledge of Semantic Web technologies to interactively analyze datasets through widget
compositio
ns and visualizations. Furthermore, we provide mechanisms for the interconnection of datasets to
support sophisticated knowledge extraction.
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