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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.