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Semantics, Sensors, and the Social Web: The Live Social Semantics Experiments

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2010 France, Italy Publisher:Springer Berlin Heidelberg

Authors: Szomszor, Martin; Cattuto, Ciro; van den Broeck, Wouter; Barrat, Alain; Alani, Harith;

doi: 10.1007/978-3-642-13489-0_14

handle: 2318/1731018

Semantics, Sensors, and the Social Web: The Live Social Semantics Experiments

- Summary
- Subjects
- Metrics

Abstract

The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the Semantic Web, online social networks, and a face-to-face contact sensing platform. It helps researchers to find like-minded and influential researchers, to identify and meet people in their community of practice, and to capture and later retrace their real-world networking activities at conferences. The application was successfully deployed at two international conferences, attracting more than 300 users in total. This paper describes this application, and discusses and evaluates the results of its two deployments

Countries

France, Italy

Related Organizations

French National Centre for Scientific Research
France
Laboratoire Parole et Langage
France
Aix-Marseille University
France
Centre de Physique Théorique
France
University of Turin
Italy

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Keywords

[INFO] Computer Science [cs]

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	29
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%