I-FGM as a real time information retrieval tool for e-governance

Eugene Santos, Eunice E. Santos, Hien Nguyen, Long Pan, John Korah, Huadong Xia

Research output: Contribution to journalArticlepeer-review

Abstract

Homeland security and disaster relief are some of the critical areas of E-governance that have to deal with vast amounts of dynamic heterogeneous data. Providing rapid real-time search capabilities for such applications is a challenge. Intelligent Foraging, Gathering, and Matching (I-FGM) is an established framework developed to assist users to find information quickly and effectively by incrementally collecting, processing and matching information nuggets. This framework has been successfully used to develop a distributed, unstructured text retrieval application. In this paper, we apply the I-FGM framework to image collections by using a concept-based image retrieval method. We approach this by incrementally processing images, extracting low-level features and mapping them to higher level concepts. Our empirical evaluation shows that our approach performs competitively compared to some existing approaches in terms of retrieving relevant images while offering the speed advantages of distributed and incremental process and unified framework between text and images.

Original languageEnglish (US)
Pages (from-to)14-35
Number of pages22
JournalInternational Journal of Electronic Government Research
Volume4
Issue number1
DOIs
StatePublished - Jan 1 2008
Externally publishedYes

Keywords

  • Agent technology
  • CBIR
  • Distributed systems
  • Heterogeneous databases
  • Image retrieval
  • Information search and retrieval
  • Intelligent agents
  • IS performance evaluation
  • Real-time IS

ASJC Scopus subject areas

  • Software
  • Social Sciences(all)
  • Hardware and Architecture
  • Computer Networks and Communications

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