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Situation Recognition Using EventShop

  • Book
  • © 2016

Overview

Authors:
  1. Vivek K. Singh

    1. Rutgers University, New Brunswick, USA

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  2. Ramesh Jain

    1. University of California, Irvine, IRVINE, USA

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  • Explains the practical implementation of EventShop, an open-source software platform
  • Maximizes reader insight into the concept of situation recognition, i.e. deriving actionable insights from heterogeneous, real-time, big multimedia data to benefit human lives and resources in different applications
  • Describes a framework for converting multitudes of data streams (including weather patterns, stock prices, social phenomena, traffic information, and disease incidents) into actionable insights
  • Includes supplementary material: sn.pub/extras

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Understanding and Defining Situations

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Vivek K. Singh, Ramesh Jain
      Pages 3-10

    3. Understanding and Using Situations

      • Vivek K. Singh, Ramesh Jain
      Pages 11-24

    4. Related Work on Situation Recognition

      • Vivek K. Singh, Ramesh Jain
      Pages 25-36

  3. A Framework for Recognizing Situations

    1. Front Matter

      Pages 37-37
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    2. Overall Framework for Situation Recognition: Overview

      • Vivek K. Singh, Ramesh Jain
      Pages 39-46

    3. Situation Modeling

      • Vivek K. Singh, Ramesh Jain
      Pages 47-55

    4. Data Representation and Situation Recognition Operators

      • Vivek K. Singh, Ramesh Jain
      Pages 57-76

  4. EventShop: An Open-Source Toolkit for Situation Recognition

    1. Front Matter

      Pages 77-77
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    2. EventShop: System Architecture

      • Vivek K. Singh, Ramesh Jain
      Pages 79-96

    3. Using EventShop

      • Vivek K. Singh, Ramesh Jain
      Pages 97-119

    4. Case Studies: Using EventShop for Creating Multiple Situation Recognition Applications

      • Vivek K. Singh, Ramesh Jain
      Pages 121-135

    5. Research Directions: Challenges and Opportunities

      • Vivek K. Singh, Ramesh Jain
      Pages 137-140
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Keywords

About this book

This book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise.

The book is useful for both practitioners and researchers working in the field of situation-aware computing. It acts as a primer for data-enthusiasts and information professionals interested in harnessing the value of heterogeneous big data for building diverse situation-based applications. It also can be used as a reference text by researchers working in areas as varied as database design, multimodel concept recognition, and middle-ware and ubiquitous computing to design and develop frameworks that allow users to create their own situation recognition frameworks.

Authors and Affiliations

  • Rutgers University, New Brunswick, USA

    Vivek K. Singh

  • University of California, Irvine, IRVINE, USA

    Ramesh Jain

Bibliographic Information

  • Book Title: Situation Recognition Using EventShop

  • Authors: Vivek K. Singh, Ramesh Jain

  • DOI: https://doi.org/10.1007/978-3-319-30537-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s) 2016

  • Hardcover ISBN: 978-3-319-30535-6Published: 07 June 2016

  • Softcover ISBN: 978-3-319-80832-1Published: 30 May 2018

  • eBook ISBN: 978-3-319-30537-0Published: 31 May 2016

  • Edition Number: 1

  • Number of Pages: XVII, 140

  • Number of Illustrations: 4 b/w illustrations, 75 illustrations in colour

  • Topics: Multimedia Information Systems, User Interfaces and Human Computer Interaction

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