Data Integration Oriented Automatic Semantic Translation Based on Rules

In order to locate tuples which correspond to one instance in different schema,the authors propose a location algorithm imposing a logic primary key and the whole fields match.Meanwhile it is the core of AuSTR to resolve semantic conflicts.It can locate most of tuples by defining the logic primary key,while the other case adopts the whole fields match method.Combination of these two parts can locate data according to semantics under different schema,so that semantic translation for data integration of heterogeneous system can be accomplished automatically.The successful application of AuSTR to a digital campus project verifies that during real time collection the AuSTR is valid to fulfill semantic translation of real time increment data automatically.