INFORMATION RETRIEVAL THROUGH MULTI AGENT SYSTEM WITH DATA MINING Research Paper

INFORMATION RETRIEVAL THROUGH MULTI AGENT SYSTEM WITH DATA MINING - Research Paper Example a practically implemented research model for the information retrieval using Multi-Agent System with Data Mining technique in a Cloud Computing environment. The paper will undertake a review of the existing literature available on this arena and develop an empirical model showing real time data flow through MAS with data mining after retrieval of meaningful information from data warehouse present in a cloud computing environment. In the end, paper will provide recommendations for the organizations for effective implementation and use. Cloud Computing is a general term that refers to anything that â€Å"involves delivering hosted services over the Internet. Broadly it is characterized into three categories, namely: Software-as-a-Service (SaaS), Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)† (‘CloudComputing’, 2007). In the present age and knowledge economy, discovering new knowledge and retrieving information from a data center from a cloud environment is a difficult aspect. The concept of cloud computing does not provide facilities for the knowledge discovery and information retrieval. Furthermore, it is required that the so-called knowledge discovery should be in harmony with the structure, schema and architecture of that knowledge. The emerging knowledge cloud is considered insufficient to retrieve information effectively and thus, Chang, Yang and Luo (2011) undertook a study to propose "an ontology-based agent generation framework for information retrieval in a flexible, transparent and easy way on cloud environment† (p.1135). They proposed a framework for information retrieval in which the user will submit "a flat-test based† request to retrieve â€Å"information on a cloud environment†, the request will be â€Å"deduced by a Reasoning Agent automatically that is accord ing to a predefined ontology and a reasoning rule and then translated to a Mobile Information Retrieving Agent Description File (MIRADF) that is formed in a proposed