TY - GEN
T1 - I-FGM - Information retrieval in highly dynamic search spaces
AU - Santos, Eugene
AU - Santos, Eunice E.
AU - Nguyen, Hien
AU - Pan, Long
AU - Korah, John
AU - Zhao, Qunhua
AU - Pittkin, Morgan
PY - 2006/9/14
Y1 - 2006/9/14
N2 - Intelligent foraging, gathering and matching (I-FGM) has been shown to be an effective tool for intelligence analysts who have to deal with large and dynamic search spaces. I-FGM introduced a unique resource allocation strategy based on a partial information processing paradigm which, along with a modular system architecture, makes it a truly novel and comprehensive solution to information retrieval in such search spaces. This paper provides further validation of its performance by studying its behavior while working with highly dynamic databases. Results from earlier experiments were analyzed and important changes have been made in the system parameters to deal with dynamism in the search space. These changes also help in our goal of providing relevant search results quickly and with minimum wastage of computational resources. Experiments have been conducted on I-FGM in a realistic and dynamic simulation environment, and its results are compared with two other control systems. I-FGM clearly outperforms the control systems.
AB - Intelligent foraging, gathering and matching (I-FGM) has been shown to be an effective tool for intelligence analysts who have to deal with large and dynamic search spaces. I-FGM introduced a unique resource allocation strategy based on a partial information processing paradigm which, along with a modular system architecture, makes it a truly novel and comprehensive solution to information retrieval in such search spaces. This paper provides further validation of its performance by studying its behavior while working with highly dynamic databases. Results from earlier experiments were analyzed and important changes have been made in the system parameters to deal with dynamism in the search space. These changes also help in our goal of providing relevant search results quickly and with minimum wastage of computational resources. Experiments have been conducted on I-FGM in a realistic and dynamic simulation environment, and its results are compared with two other control systems. I-FGM clearly outperforms the control systems.
KW - Distributed information retrieval
KW - Dynamic information space
KW - Geospatial information retrieval
KW - Multi-agent systems
KW - Parallel information retrieval
KW - Retrieval performance
UR - http://www.scopus.com/inward/record.url?scp=33748447291&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33748447291&partnerID=8YFLogxK
U2 - 10.1117/12.666334
DO - 10.1117/12.666334
M3 - Conference contribution
AN - SCOPUS:33748447291
SN - 0819462853
SN - 9780819462855
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Intelligent Computing
T2 - Intelligent Computing: Theory and Applications IV
Y2 - 17 April 2006 through 18 April 2006
ER -