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

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.