Daniele Quercia, Licia Capra, Valentina Zanardi



Networked portable devices enable their users to easily create and share digital content (e.g., photos, videos). Hitherto, this serendipitous form of sharing has not happened. That may be because, for sharing content, mobile users have no choice but to go through the Internet. Users are thus in need of decentralised mechanisms for browsing location-based content. To realize such mechanisms, the following two questions must be answered first: how to select “relevant content”, by semantically matching user queries, and how to select “quality content” from the clutter generated by a potentially huge number of producers. We explore ways to answer these questions. We propose a combined approach that infers “relevance” by reasoning about the semantics emerging from the tags that users associate to content, and “quality” by running distributed trust models that recognize trustworthy producers.


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Paper Citation

in Harvard Style

Quercia D., Capra L. and Zanardi V. (2008). SELECTING TRUSTWORTHY CONTENT USING TAGS . In Proceedings of the International Conference on Security and Cryptography - Volume 1: Special Session on Trust in Pervasive Systems and Networks, (ICETE 2008) ISBN 978-989-8111-59-3, pages 501-508. DOI: 10.5220/0001921205010508

in Bibtex Style

@conference{special session on trust in pervasive systems and networks08,
author={Daniele Quercia and Licia Capra and Valentina Zanardi},
booktitle={Proceedings of the International Conference on Security and Cryptography - Volume 1: Special Session on Trust in Pervasive Systems and Networks, (ICETE 2008)},

in EndNote Style

JO - Proceedings of the International Conference on Security and Cryptography - Volume 1: Special Session on Trust in Pervasive Systems and Networks, (ICETE 2008)
SN - 978-989-8111-59-3
AU - Quercia D.
AU - Capra L.
AU - Zanardi V.
PY - 2008
SP - 501
EP - 508
DO - 10.5220/0001921205010508