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Publicly available data is increasing rapidly, and will continue to grow withthe advancement of technologies in sensors, smartphones and the Internet ofThings. Data from multiple sources can improve coverage and provide morerelevant knowledge about surrounding events and points of Interest. Thestrength of one source of data can compensate for the shortcomings of anothersource by providing supplementary information. Maps are also getting popularday-by-day and people are using it to achieve their daily task smoothly andefficiently. Starting from paper maps hundred years ago, multiple type of mapsare available with point of interest, real-time traffic update or displayingmicro-blogs from social media. In this paper, we introduce Hadath, a systemthat displays multi-resolution live events of interest from a variety ofavailable data sources. The system has been designed to be able to handlemultiple type of inputs by encapsulating incoming unstructured data intogeneric data packets. System extracts local events of interest from genericdata packets and identify their spatio-temporal scope to display such events ona map, so that as a user changes the zoom level, only events of appropriatescope are displayed. This allows us to show live events in correspondence tothe scale of view - when viewing at a city scale, we see events of highersignificance, while zooming in to a neighbourhood, events of a more localinterest are highlighted. The final output creates a unique and dynamic mapbrowsing experience. Finally, to validate our proposed system, we conductedexperiments on social media data.

Hadath: From Social Media Mapping to Multi-Resolution Event-Enriched Maps