Titlebook: Situation Recognition Using EventShop; Vivek K. Singh,Ramesh Jain Book 2016 The Author(s) 2016 Big data.EventShop.Multimodal data fusion.S

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Introductionvironmental attributes are getting digitized and becoming available for sense making. Real-world phenomena are now being observed by multiple media streams, each complementing the other in terms of data characteristics, observed features, perspectives, and vantage points. Many of these multimedia st

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Situation Modelinge designer to externalize what she means by a specific situation of interest (e.g., an “epidemic”). Building this model in terms of conceptual building blocks rather than directly implementing them in code has multiple advantages. First, the application designers get to focus on the “big picture” ra

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EventShop: System Architectureifferent data streams and recognize situations. This system operationalizes the various concepts promulgated in the framework. It provides an easy way to test and refine situation models (Chap. .) and does so using the data representation and operation algebra presented in Chap. .

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Using EventShoptemporal analysis operators mentioned in the previous chapter. This web application has been designed to provide a simple and effective way to interact with a vast amount of data to build different situation-aware applications.

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Research Directions: Challenges and Opportunitiesconcept recognition than possible ever before. Situation recognition is the problem of deriving actionable insights from heterogeneous, real-time, big multimedia data to benefit human lives and resources in different applications. This book has presented a framework for personalized situation recogn

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Related Work on Situation Recognitione.g., objects, events, situations) from multimodal data has varied over time. Lastly, we discuss other attempts at building end-to-end toolkits to support multiple (situation-aware) applications. As already discussed the notion of situation is interpreted very differently across different areas, and here we try to be as inclusive as possible.

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Research Directions: Challenges and Opportunities multimedia data to benefit human lives and resources in different applications. This book has presented a framework for personalized situation recognition and control. Specifically, it defined an approach for conceptual situation modeling, real-time situation evaluation, and generating personalized alerts.