The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed...

The integration of data from autonomous and heterogeneous sources calls for the prior identification and resolution of semantic conflicts that may be present. Unfortunately, this requires the system integrator to sift through the data from disparate systems in a painstaking manner. In this...

The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed...