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.