Multiagent Knowledge-Based System Accessing Distributed Resources on Knowledge Grid

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Author(s): Priti Srinivas Sajja (Sardar Patel University, India)
Copyright: 2011
Pages: 22
Source title: Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains
Source Author(s)/Editor(s): A.V. Senthil Kumar (CMS College of Science and Commerce, India)
DOI: 10.4018/978-1-60960-067-9.ch012

Keywords: Data Mining and Databases / Information Science Reference / Knowledge Discovery / Library & Information Science

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Abstract

Knowledge is considered as a strategic weapon to get success in any business. Span of modern business applications have increased from a specific geographical area to the global world. The necessary resources of the business are available in distributed fashion using platform / technology like world wide web and grid of computational facilities. The prime intention of the grid architecture is to utilize scarce resources in objective to efficiently mine information from distributed resources. With simple data grid and semantic web technologies, it is difficult to offer higher level knowledge-based services on grid environment. Hence, development of a framework that helps mining and utilizing the required information from large, unstructured, and distributed resources in intelligent fashion becomes necessary. This chapter describes and differentiates World Wide Web (WWW), Semantic Web, Data Grid, and Knowledge Grid with the literature survey. Considering the limitations of the existing approaches, a generic multilayer architecture is designed and described with detailed methodology for each layer. The chapter also presents fuzzy XML technique to represent domain and meta knowledge into the knowledge repositories. To experiment the proposed generic architecture, an application of e-Learning is selected and a multiagent system mining knowledge grid is discussed with detailed methodology and role of agents in the system. The chapter concludes with advantages and application areas.

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