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In this paper, the problem of clustering intelligent web using K-means algorithm has been analyzed and the need for a new data clustering algorithm such as Genetic Algorithm (GA) is justified. We propose an Intelligent Extended Clustering Genetic Algorithm (IECGA) using Business Process Execution Language (BPEL) to be an optimal solution for data clustering. It improves the efficiency and performance for retrieving a proper information results that satisfy user's needs. The proposed IECGA usesdoi:10.5923/j.ajis.20110101.02 fatcat:6s64jq4vgbgchgqc7xntsdckgm