Schema-Based Debugging of Federated Data Sources

Information explosion leads to continuous growth of data distributed over different data sources. However, the increasing number of data sources increases the risk of inconsistency. In such a federative setting, description logics can be applied to define a central schema that serves as a conceptual view comprising and extending the semantics of each data source. Consequently, each data source is treated as a single knowledge base that is integrated in a federated knowledge base. Following this idea, we propose an approach for automated debugging of federated knowledge bases that targets the identification and repair of inconsistency. We report on experiments with a large distributed dataset from the domain of library science.

Authors

• Andreas Nolle
• Christian Meilicke
• Melisachew Wudage Chekol
• German Nemirovski
• Heiner Stuckenschmidt

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