Mobile Computing, Applications, and Services. Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers

Research Article

Semantic Geotagging: A Location-Based Hypermedia Approach to Creating Situational Awareness

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  • @INPROCEEDINGS{10.1007/978-3-642-32320-1_7,
        author={Ray Bareiss and Martin Griss and Steven Rosenberg and Yu Zhang},
        title={Semantic Geotagging: A Location-Based Hypermedia Approach to Creating Situational Awareness},
        proceedings={Mobile Computing, Applications, and Services. Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={mobile applications emergency response social media crowd sourcing mobile collaboration},
        doi={10.1007/978-3-642-32320-1_7}
    }
    
  • Ray Bareiss
    Martin Griss
    Steven Rosenberg
    Yu Zhang
    Year: 2012
    Semantic Geotagging: A Location-Based Hypermedia Approach to Creating Situational Awareness
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-32320-1_7
Ray Bareiss1,*, Martin Griss1,*, Steven Rosenberg1,*, Yu Zhang1,*
  • 1: Carnegie Mellon University
*Contact email: ray.bareiss@sv.cmu.edu, martin.griss@sv.cmu.edu, steven.rosenberg@sv.cmu.edu, ian.zhang@sv.cmu.edu

Abstract

As emergency first responders and commanders increasingly use mobile phones, tablets, and social media to communicate, coordinate, and manage information during disasters, we see a need and opportunity to provide a mobile device-appropriate semantic layer to a geographically-based common operating picture. The challenge is to provide a simple, usable structure for a rapidly growing body of information to simplify the development of situational awareness in an unfolding disaster. We use a hyperlinked structure based on the ASK model to organize information in a readily accessible form. In this paper we describe our initial design and experience with an Android-based prototype, supported by a Ruby on Rails-based repository service. Our prototype allows the incorporation, aggregation, assessment, and redistribution of dynamic human-generated and sensor-derived information.