FemaRepViz: Automatic extraction and geo-temporal visualization of FEMA national situation updates

Chi Chun Pan, Prasenjit Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

An architecture for visualizing information extracted from text documents is proposed. In conformance with this architecture, a toolkit, FemaRepViz, has been implemented to extract and visualize temporal, geospatial, and summarized information from FEMA National Update Reports. Preliminary tests have shown satisfactory accuracy for FEMARepViz. A central component of the architecture is an entity extractor that extracts named entities like person names, location names, temporal references, etc. FEMARepViz is based on FactXtractor, an entity-extractor that works on text documents. The information extracted using FactXtractor is processed using GeoTagger, a geographical name disambiguation tool based on a novel clustering-based disambiguation algorithm. To extract relationships among entities, we propose a machine-learning based algorithm that uses a novel stripped dependency tree kernel. We illustrate and evaluate the usefulness of our system on the FEMA National Situation Updates. Daily reports are fetched by FEMARepViz from the FEMA website, segmented into coherent sections and each section is classified into one of several known incident types. We use ConceptVista, Google Maps and Google Earth to visualize the events extracted from the text reports and allow the user to interactively filter the topics, locations, and time-periods of interest to create a visual analytics toolkit that is useful for rapid analysis of events reported in a large set of text documents.

Original languageEnglish
Title of host publicationVAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings
Pages11-18
Number of pages8
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventVAST IEEE Symposium on Visual Analytics Science and Technology 2007 - Sacramento, CA
Duration: 30 Oct 20071 Nov 2007

Other

OtherVAST IEEE Symposium on Visual Analytics Science and Technology 2007
CitySacramento, CA
Period30/10/071/11/07

Fingerprint

Visualization
Learning systems
Websites
Earth (planet)

Keywords

  • Geo-temporal visualization
  • Geospatial analytics
  • Knowledge discovery
  • Text processing
  • Visual analytics

ASJC Scopus subject areas

  • Computer Science(all)
  • Computer Science Applications

Cite this

Pan, C. C., & Mitra, P. (2007). FemaRepViz: Automatic extraction and geo-temporal visualization of FEMA national situation updates. In VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings (pp. 11-18). [4388991] https://doi.org/10.1109/VAST.2007.4388991

FemaRepViz : Automatic extraction and geo-temporal visualization of FEMA national situation updates. / Pan, Chi Chun; Mitra, Prasenjit.

VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings. 2007. p. 11-18 4388991.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pan, CC & Mitra, P 2007, FemaRepViz: Automatic extraction and geo-temporal visualization of FEMA national situation updates. in VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings., 4388991, pp. 11-18, VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Sacramento, CA, 30/10/07. https://doi.org/10.1109/VAST.2007.4388991
Pan CC, Mitra P. FemaRepViz: Automatic extraction and geo-temporal visualization of FEMA national situation updates. In VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings. 2007. p. 11-18. 4388991 https://doi.org/10.1109/VAST.2007.4388991
Pan, Chi Chun ; Mitra, Prasenjit. / FemaRepViz : Automatic extraction and geo-temporal visualization of FEMA national situation updates. VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings. 2007. pp. 11-18
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