SemanticSpy: Suspect Tracking Using Semantic Data in a Multimedia Environment

  • Amit Mathew
  • Amit Sheth
  • Leonidas Deligiannidis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)


In this paper we describe SemanticSpy, a tool for tracking suspects and their activities around the globe. Using an RDF data store and a three-dimensional multimedia environment, SemanticSpy is able to bring semantic information to life. SemanticSpy utilizes a blend of semantic information and a media-rich environment that can display images, 3D models, and documents, and can play audio clips to give the user the ability to analyze information using the different types of media. We believe that this will help law enforcement officials gain insight into a suspect’s behavior and give them the power to avert the next major crime or terrorist attack. Finally, we describe SemanticSpy’s architecture and explain its advantages over other information environments.


Semantic Information Resource Description Framework Semantic Data Audio Clip Scalable Vector Graphic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Amit Mathew
    • 1
  • Amit Sheth
    • 1
  • Leonidas Deligiannidis
    • 1
  1. 1.Department of Computer ScienceUniversity of GeorgiaAthensUSA

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