A Survey of Agent Based Pre-Processing and Knowledge Retrieval

Information retrieval is the major task in present scenario as quantum of data is increasing with a tremendous speed. So, to manage & mine knowledge for different users as per their interest, is the goal of every organization whether it is related to grid computing, business intelligence, distributed databases or any other. To achieve this goal of extracting quality information from large databases, software agents have proved to be a strong pillar. Over the decades, researchers have implemented the concept of multi agents to get the process of data mining done by focusing on its various steps. Among which data pre-processing is found to be the most sensitive and crucial step as the quality of knowledge to be retrieved is totally dependent on the quality of raw data. Many methods or tools are available to pre-process the data in an automated fashion using intelligent (self learning) mobile agents effectively in distributed as well as centralized databases but various quality factors are still to get attention to improve the retrieved knowledge quality. This article will provide a review of the integration of these two emerging fields of software agents and knowledge retrieval process with the focus

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