Welcome to the InfoSci Platform
Reference Hub1
I-FGM as a Real Time Information Retrieval Tool for E-Governance

I-FGM as a Real Time Information Retrieval Tool for E-Governance

Eugent Santos Jr., Eunice E. Santos, Hien Nguyen, Long Pan, John Korah, Huadong Xia
Copyright: © 2008 |Volume: 4 |Issue: 1 |Pages: 22
ISSN: 1548-3886|EISSN: 1548-3894|ISSN: 1548-3886|EISBN13: 9781615202560|EISSN: 1548-3894|DOI: 10.4018/jegr.2008010102
Cite Article Cite Article

MLA

Santos Jr., Eugent, et al. "I-FGM as a Real Time Information Retrieval Tool for E-Governance." IJEGR vol.4, no.1 2008: pp.14-35. http://doi.org/10.4018/jegr.2008010102

APA

Santos Jr., E., Santos, E. E., Nguyen, H., Pan, L., Korah, J., & Xia, H. (2008). I-FGM as a Real Time Information Retrieval Tool for E-Governance. International Journal of Electronic Government Research (IJEGR), 4(1), 14-35. http://doi.org/10.4018/jegr.2008010102

Chicago

Santos Jr., Eugent, et al. "I-FGM as a Real Time Information Retrieval Tool for E-Governance," International Journal of Electronic Government Research (IJEGR) 4, no.1: 14-35. http://doi.org/10.4018/jegr.2008010102

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.