Presented by Adrien Joly at Bell Labs France during a "SKP" session, this slideshow includes a motivated introduction to his phd thesis subject about contextual filtering of social interactions, its technical approach relying on "contextual tag clouds", and its current state of research.

1. Adrien Joly PhD Candidate Social Communications Dept. Alcatel-Lucent Bell Labs France SKP @ Villarceaux, France, 6/11/2009 Tangible Contextual Tag Clouds towards Controlled and Relevant Social Interaction Awareness

4. 1 Motivation

8. Motivation Approach Implementation Validation Conclusion Computer-supported communication tools for Awareness 1980 1970 2000 Ambient Awareness ? 1990 Computer-Supported Cooperative Work Modems Bulletin Board Systems, Internet Relay Chat, Minitel, Internet Groupware / CSCW EIES (Electronic Information Exchange System) for Research, Professional communication and collaboration Perpetual proximity ? Communication becomes ubiquitous, instantaneous and seamless. Social web Forums, chat, opinions, user profiles, viral sharing, social networking sites 2010 Social Networking Sites IRC Minitel Web 1.0 Web 2.0 Internet Forums Cell telephony Mobile internet Ubiquitous computing Wireless networks Early networks ?

12. 2 Approach

19. 3 First implementation

21. Motivation Approach Implementation Validation Conclusion The Contextual Notification Framework - architecture Context aggregator Desktop activity sniffers Social notifier Contextual Filter Enterprise worker User’s workstation Infrastructure Interaction logs (REST interface) High level context Proposed notifications

22. Motivation Approach Implementation Validation Conclusion The Contextual Notification Framework – current implementation Context aggregator Desktop activity sniffers Social notifier Contextual Filter Enterprise worker User’s workstation Infrastructure Web navigation and sharing events (open, focus, close) Contextual cloud Proposed notifications Lightweight JAVA RESTful server Firefox plug-in Jetty-based JAVA server Persevere JSON DB

23. Motivation Approach Implementation Validation Conclusion How to synthesize the contextual tag cloud from web browsing ? The user opens a web page…

24. Motivation Approach Implementation Validation Conclusion How to synthesize the contextual tag cloud from web browsing ? Expressivity Low level and static author description Automatic content analysis Mining semantic concepts from content People-entered tags (wisdom of crowds) 1) URL is sent to the Context Aggregator 2) Content is analyzed by enhancers (including web services)

26. Motivation Approach Implementation Validation Conclusion Context Aggregation and Filtering process Context aggregator Firefox plug-in Contextual Filter User’s workstation Infrastructure U: u i = URLs R, S = Contextual tag clouds Relevant updates filtered by contextual similarity Enhancer 1 Enhancer 2

27. 4 Validation

31. Conclusion

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