P3 Systems: Putting the Place Back into Social Networks
IEEE Internet Computing
Context-Aware Middleware for Anytime, Anywhere Social Networks
IEEE Intelligent Systems
From pervasive to social computing: algorithms and deployments
Proceedings of the 2009 international conference on Pervasive services
MobiClique: middleware for mobile social networking
Proceedings of the 2nd ACM workshop on Online social networks
Using Social Network to Predict the Behavior of Active Members of Online Communities
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
Understanding latent interactions in online social networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A Framework for Emotion Mining from Text in Online Social Networks
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Social Network Analysis and Mining for Business Applications
ACM Transactions on Intelligent Systems and Technology (TIST)
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Proceedings of the 22nd international conference on World Wide Web companion
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The use of online social networks (OSN) has been a reality for some years now. If OSN users have mobile devices and they are taken into account, every day a vast amount of information is spontaneously generated, creating opportunities for researchers and developers to use, for example, artificial intelligent techniques to explore similarities between friends, to recommend content and to come up with business opportunities. Additionally, OSN and mobile devices can be put together to explore user context to tailor services according to the user environment. However, to apply ubiquitous computing and artificial intelligence to OSN can be cumbersome and resource-consuming. Thus, this paper presents a framework to develop intelligent applications on top of existing OSN, helping developers to explore similarities between the users and recommend content, using user context and simple information present on OSN, without compromising resources present in mobile devices. At the end, this paper shows how to develop new applications using the framework exploring user context and semantic concepts defined by the developer.