@inproceedings{a1a74b3e72784d54a942aa8b8d0b6e0b,
title = "Opening Public Deliberations: Transparency, Privacy, Anonymisation",
abstract = "The open data movement is demanding publication of data withheld by public institutions. Wide access to government data improves transparency and also fosters economic growth. Still, careless publication of personal data can easily lead to privacy violations. Due to these concerns, the Italian law states that even public deliberations must be anonymised for long term publication. In the context of the Trentino Open Data Project (Italy), we first analyse privacy legislation and anonymisation techniques. Then, we propose a semantic open source stack based on entity and word sense disambiguation techniques for publishing anonymised deliberations edited with Norme in Rete software.",
author = "Eleonora Bassi and David Leoni and Stefano Leucci and Juan Pane and Lorenzino Vaccari",
year = "2014",
doi = "10.1007/978-3-662-45960-7_4",
language = "English",
isbn = "978-3-662-45959-1",
series = "Lecture Notes in Computer Science ",
publisher = "Springer",
pages = "41--53",
editor = "Pompeu Casanovas and Ugo Pagallo and Monica Palmirani and Giovanni Sartor",
booktitle = "AI Approaches to the Complexity of Legal Systems",
address = "United Kingdom",
}