CTRnet DL for disaster information services

  • Authors:
  • Seungwon Yang;Andrea Kavanaugh;Nádia P. Kozievitch;Lin Tzy Li;Venkat Srinivasan;Steven D. Sheetz;Travis Whalen;Donald Shoemaker;Ricardo da S Torres;Edward A. Fox

  • Affiliations:
  • Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA;University of Campinas, Campinas, SP, Brazil;University of Campinas, Campinas, SP, Brazil;Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA;University of Campinas, Campinas, SP, Brazil;Virginia Tech, Blacksburg, VA, USA

  • Venue:
  • Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
  • Year:
  • 2011

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Abstract

We describe our work in collecting, analyzing and visualizing online information (e.g., Web documents, images, tweets), which are to be maintained by the Crisis, Tragedy and Recovery Network (CTRnet) digital library. We have been collecting resources about disaster events, as well as campus and other major shooting events, in collaboration with the Internet Archive (IA). Social media data (e.g., tweets, Facebook data) also have been collected and analyzed. Analyzed results are visualized using graphs and tag clouds. Exploratory content-based image retrieval has been applied in one of our image collections. We explain our CTR ontology development methodology and collaboration with Arlington County, VA and IBM, in a Center for Community Security and Resilience funded project.