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To reduce the memory usage and increase the speed of access in web database, in this study, we have introduced a machine learning technique based annotation with the help of modified K-means clustering algorithm to increase the speed of search result records in web database. The proposed AI based annotation method includes four stages namely, alignment phase, Score Calculation, annotation phase and annotation wrapper generation phase. These four stages of the proposed part are spelt out in this study. The proposed technique is competent to effectively reduce the memory and increase the speed of access in a website. The proposed method is implemented in the working platform of java and the results are analyzed.

Machine Learning Technique Based Annotation in Web Database Search Result Records with Aid of Modified K-Means Clustering (MKMC)