Debnath Mukherjee

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As the world is getting more and more connected, a requirement for a connected notification system has emerged. In this paper a universal notification system namely UNS based on stream reasoning is described that not only meets the requirement of knowledge sharing among applications but can cater to different varying and custom scenarios, is flexible and(More)
In the existing ride sharing scenario, the ride taker has to cope with uncertainties since the ride giver may be delayed or may not show up due to some exigencies. A solution to this problem is discussed in this paper. The solution framework is based on gathering information from multiple streams such as traffic status on the ride giver's routes and the(More)
Public alert services is gradually becoming popular in smart cities because this enhances the awareness of the citizen about activities within the city. Such a service also ensures the safety and security of the citizens. However the state of the art lacks in providing real-time alerts in a personalized, context-aware fashion utilizing the combined(More)
Web-scale stream reasoning is based on continuous queries and reasoning on a snapshot of the dynamic knowledge combined with background knowledge. The existing stream reasoners usually use either time-based or count-based window techniques following the data stream principles, however they do not fit all scenarios in the stream reasoning area. In this(More)
The Internet of Things (IoT) is emerging as an important application area for time series statistical analysis and data mining of time series. As the volume of sensor data is high, time series analysis of sensor data is a problem of processing large datasets. Moreover, the IoT platforms have to simultaneously process multiple jobs on the same(More)
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