2011. Combining Social and Government Open Data for Participatory
Decision-Making. Electronic Participation. Evangelos Kalampokis,
Michael Hausenblas and Konstantinos Tarabanis.
Lecture Notes in Computer Science, 2011, Volume 6847/2011, 36-47, DOI:
10.1007/978-3-642-23333-3_4
http://www.springerlink.com/content/196jl375226l0v22/ [NB: Behind paywall]
Abstract
"In the last years, several research endeavors were launched aiming at
involving popular social media platforms in electronic participation.
These early endeavors seem to present some essential limitations
related mainly to scalability and uptake. In order to avoid these
limitations, we introduce a two-phased approach for supporting
participatory decision-making based on the integration and analysis of
social and government open data. The proposed approach is based on the
literature related to the analysis of massive amounts of social data
for future events prediction. In this paper we also present a Web data
driven architecture for the implementation of the proposed approach.
The architecture is based on the use of linked data paradigm as a
layer that will enable integration of data from different sources. We
anticipate that the proposed approach will (i) allow decision makers
to understand and predict public opinion and reaction about specific
decisions; and (ii) enable citizens to inadvertently contribute in
decision-making."
-Glen Newton
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