A rule based mobile agent generation for information retrieval
Yue‐Shan Chang, Yu-Cheng Luo · 2010
In the paper1, we propose a rule-based mobile agent generation framework for information retrieval in a flexible, transparent, and easy way. User can submit a flat-text based request, the request will be automatically deduced by a Reasoning Agent (RA) based on predefined ontology and inference rule, and then be translated to a Mobile Information Retrieving Agent Description File (MIRADF) that is formatted in a proposed Mobile Agent Description Language (MADF). A generating agent, named MIRA-GA, is also implemented to generate a MIRA according to the MIRADF. We also design and implement a prototype to integrate these agents and show an interesting example to demonstrate the feasibility of the architecture.