iParticipate: automatic tweet generation from local government data

Authors:
Christoph Lofi;Ralf Krestel
Affiliations:
IFIS, Carolo-Wilhelmina Universität Braunschweig, Germany;L3S Research Center, Leibniz Universität Hannover, Germany
Venue:
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Year:
2012

Citing 4
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Abstract

With the recent rise of Open Government Data, innovative technologies are required to leverage this new wealth of information. Therefore, we present a system combining several information processing techniques with micro-blogging services to demonstrate how this data can be put to use in order to increase transparency in political processes, and encourage internet users to participate in local politics. Our system uses publicly available documents from city councils which are processed automtically to generate highly informative tweets.