COLLEGA semantic middleware for collaborative assistance in mobile social networks
Danilo Hasse, Carlos Roberto De Rolt · 2017
The Crowdsensing-based systems using mobile technology create a new kind of collective intelligence in a sensing environment mediated by ICTs. On the other hand, ICTs and social networks contribute to the emergence of virtual communities. The interaction among participants can create dynamically groups from a previously known platform where all participants perform tasks and solve problems in a specific context and situations. The COLLEGA Semantic Middleware (Co-SeMiWa) is an emergency semantic middleware for collaborative assistance. The system is context-aware extracting contextual information from social networks such as Twitter, knowing potential participants by profiles and interests, collecting data from Crowdsensing platform and providing semantic information to improve the way how people contribute to the community. Dynamic Mobile Virtual Communities (DMVCs) is this new kind of collective intelligence and the Co-SeMiWa is a system that extracts and manages a several related data providing a semantic infrastructure to enhance this scenario. The paper introduces the DMVC s concept and describes the Co-SeMiWa architecture for this application in emergency scenarios and Smart Cities environments.