Widget-based Exploration of Linked Statistical Data Spaces

Ba-Lam Do, Tuan-Dat Trinh, Peter Wetz, Amin Anjomshoaa, Elmar Kiesling, A. Min Tjoa

2014

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 compositions and visualizations. Furthermore, we provide mechanisms for the interconnection of datasets to support sophisticated knowledge extraction.

References

  1. Brunetti, J. M., Auer, S., García, R., Klímek, J., and NecaskÉ, M. (2013). Formal linked data visualization model. In IIWAS'13, International Conference on Information Integration and Web-based Applications & Services.
  2. Cáceres, M. (2011). Requirement for Standardizing Widgets.
  3. Salas, P. E. R., Mota, F. M. D., Martin, M., Auer, S., Breitman, K., and Casanova, M. A. (2012). Publishing statistical data on the web. International Journal of Semantic Computing, 6:373-388.
  4. Schlegel, T., Stegmaier, F., Bayerl, S., Granitzer, M., and Kosch, H. (2014). Balloon fusion: Sparql rewriting based on unified co-reference information. In DESWeb'14, 5th International Workshop on Data Engineering Meets the Semantic Web.
  5. Sporny, M., Kellogg, G., and Lanthaler, M. (2013). JSONLD 1.0 - A JSON-based Serialization for Linked Data.
  6. Trinh, T.-D., Do, B.-L., Wetz, P., Anjomshoaa, A., and Tjoa, A. M. (2013). Linked widgets an approach to exploit open government data. In IIWAS'13, International Conference on Information Integration and Web-based Application & Services.
Download


Paper Citation


in Harvard Style

Do B., Trinh T., Wetz P., Anjomshoaa A., Kiesling E. and Tjoa A. (2014). Widget-based Exploration of Linked Statistical Data Spaces . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 282-290. DOI: 10.5220/0005110102820290


in Bibtex Style

@conference{data14,
author={Ba-Lam Do and Tuan-Dat Trinh and Peter Wetz and Amin Anjomshoaa and Elmar Kiesling and A. Min Tjoa},
title={Widget-based Exploration of Linked Statistical Data Spaces},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={282-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005110102820290},
isbn={978-989-758-035-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Widget-based Exploration of Linked Statistical Data Spaces
SN - 978-989-758-035-2
AU - Do B.
AU - Trinh T.
AU - Wetz P.
AU - Anjomshoaa A.
AU - Kiesling E.
AU - Tjoa A.
PY - 2014
SP - 282
EP - 290
DO - 10.5220/0005110102820290