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DESCRIPTION:Click for Latest Location Information: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5567\nTechnology in our phones and cars have shaped consumers into profitable moving objects of interest . Knowing where an object is at any point in time will increase our ability to accurately predict that object’s behaviour. Tracking moving objects is an obvious application of massively scaling NOSQL technologies and in this presentation we will argue that graph databases are particularly well suited. Graph search can show us interesting connections in our social networks and the addition of location and time allows us to reason about the when and where and help us predict future behaviour.  \nIn this presentation we discuss a query framework that can combine geospatial, temporal and social network analysis. In addition, we will discuss recent NoSQL technologies that allow finding objects within a certain geospatial and temporal bounding box with a minimum amount of joins and disk access.\nWe will discuss increasingly complex queries over moving objects (MOB) in extremely large databases. From simple to complicated:\n\nWhich MOB are within a given bound from a given latitude, longitude, and time?\nDetect when two given MOBs were within a given distance.\nGiven a MOB, detect all MOBs ever within a given distance.\nFind all occurrences of two MOBs within a certain distance.\n\nIn this presentation we will demonstrate the queries noted above on a real world data set and show the resulting moving objects on Google Earth.
DTSTART:20130821T161500
SUMMARY:Tracking Moving Objects in a Graph Database
DTEND:20130821T165959
LOCATION: See Description
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