Entity Resolution for Multiple Sources with Extended Approach

Abstract Entity Resolution is a technique to find similar records that may refer the same entity from one or many resources. It mainly used in data integration cleaning with existence of Big Data. not only helps organisations have clean data, but it also provides unified view their for later analysis. However, there no solution fitting all duplication issues. Because fact itself heterogeneous and varied. This paper focuses on finding answers usefulness combination different matching approaches, token blocking versus standard how other domain runs by examining well they perform scenarios. To achieve these answers, this outline details setups experiments execute. A detailed evaluation demonstrates effectiveness approaches multiple datasets.