By Topic

AIR: Agent and Ontology-Based Information Retrieval Architecture for Mobile Grid

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yue-Shan Chang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ., Taipei ; Yu-Cheng Luo ; Pei-Chun Shih

In this paper, we propose an agent and ontology based information retrieval architecture for mobile grid, named AIR, to discover and extract from mobile grid environment in a flexible, transparent, and easy way. Based on the AIR, users can submit a flat-text based request to mobile grid for discovering information or knowledge. The request will be automatically reasoned by a reasoning agent based on ontology and reasoning rule, and be translated to a mobile information retrieving agent (MIRA) that can be migrated to mobile grid node to retrieve information that users require. In order to generate a mobile IR agent, we propose a mobile agent description language (MADL) that defines the behavior of mobile IR agent. In addition, a knowledge synthesis agent in the architecture is designed to collect and synthesize information from mobile grids. Finally, we show an interesting example to demonstrate the feasibility of the architecture.

Published in:

Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE

Date of Conference:

9-12 Dec. 2008