TY - JOUR A1 - Bleiholder, Jens A1 - Szott, Sascha A1 - Herschel, M. A1 - Naumann, Felix T1 - Complement union for data integration T2 - Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on N2 - A data integration process consists of mapping source data into a target representation (schema mapping), identifying multiple representations of the same real-word object (duplicate detection), and finally combining these representations into a single consistent representation (data fusion). Clearly, as multiple representations of an object are generally not exactly equal, during data fusion, we have to take special care in handling data conflicts. This paper focuses on the definition and implementation of complement union, an operator that defines a new semantics for data fusion. Y1 - 2010 UR - https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/4779 SP - 183 EP - 186 ER -