A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems

Minh-Son Dao, Siripen Pongpaichet, Laleh Jalali, Kyoungsook Kim, Ramesh Jain, Koiji Zettsu
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
We are living in the Internet of Things (IoT) era where all the (smart) objects around us are connected and communicated with each other to serve our life better without the need of explicit instruction. Soon we have to cope with trillions of heterogeneous data streams coming from IoT. Since data is not information, methods for discovering useful and correlative information from data and utilising them for the better life, in real-time mode, are the utmost requirements. In order to tackle this
more » ... roblem, we introduce an Event Information Management platform (EvIM) that can be used to develop applications run as cyber-physical-social systems. EvIM includes two components (1) EventWarehouse: is built for harvesting, storing, and analysing data coming from large scale heterogeneous sensors, and (2) EventShop: plays as a real-time complex spatio-temporal event processing system. Differ from conventional systems that use data-driven or pre-defined event-based approaches, the proposed platform can alleviate the burden of human intervention meanwhile increase the scalability, robustness, feasibility, and applicability by offering series of services that not only automatically discover correlations among sensors' data to extract useful information but also can help users design and monitor situations visually, efficiently and effectively, under on-fly mode.
doi:10.1145/2578726.2578755 dblp:conf/mir/DaoPJKJZ14 fatcat:o6mg423d6zashi53ijcz2x6jza