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semantically augmenting hadoop with geotemporal reasoning and social networking analytics
Bookmarked 652 weeks ago by strp82 e-commerce sites auction sites financial institutions insurance companies and telephone companies all have event based data that describes transaction |
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semantically augmenting hadoop with geotemporal reasoning and social networking analytics
Bookmarked 652 weeks ago e-commerce sites auction sites financial institutions insurance companies and telephone companies all have event based data that describes transactions between customers social networks that are located in time and space geotemporalall these transactions together form interesting social graphs and patterns of customer behavior some of these behaviors are very interesting from a marketing perspective other behaviors might point to fraudulent actions analyzing graphs and geospatial oriented data is notoriously hard to do with typical big data solutions such as hadoop so we use a hyper scalable graph database to do this analysiswe will present a number of new technologies to make it very straightforward and user friendly to analyze behavioral patterns we discuss extending sparql 11 with a large number of magic predicates for geospatial temporal and social network analysis so that non-specialists can very easily build very powerful queries we will present new visual discovery capabilities to gruff a graphical user interface for graph search we will demonstrate how users can explore visual graphs and easily turn interesting patterns into sparql queries |
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