Rule-Based Method for Entity Resolution Using Optimized Root Discovery (ORD)

Entity resolution makes out the object alluding to the same real world entity. Entity resolution is carried out by producing rules from a given input data set and applies them to records. Traditional approach randomly assumes that each attributes value as a rule and combines other rules according to the limit criteria. Traditional method is very complex and tiring. The new proposed method is experimentally more accurate and using new algorithms with the property of Optimized Root Discovery. The newly produced rules can be used for any dataset available for entity resolution or identification in an accurate way with minimum time and space complexity.