Schema equivalence in heterogeneous systems: bridging theory and practice
Information Systems - Special issue on extending database technology
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Generic Model Management: A Database Infrastructure for Schema Manipulation
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A Model Theory for Generic Schema Management
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A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
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Rondo: a programming platform for generic model management
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Preserving mapping consistency under schema changes
The VLDB Journal — The International Journal on Very Large Data Bases
Supporting executable mappings in model management
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Semantic adaptation of schema mappings when schemas evolve
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Sync your data: update propagation for heterogeneous protein databases
The VLDB Journal — The International Journal on Very Large Data Bases
Knowledge and Information Systems
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Enterprise model management and next generation decision support
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Model management 2.0: manipulating richer mappings
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GeRoMeSuite: a system for holistic generic model management
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Graceful database schema evolution: the PRISM workbench
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Schema exchange: Generic mappings for transforming data and metadata
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An empirical comparison of ontology matching techniques
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What-if analysis for data warehouse evolution
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Model management is a framework for supporting meta-data related applications where models and mappings are manipulated as first class objects using operations such as Match, Merge, ApplyFunction, and Compose. To demonstrate the approach, we show how to use model management in two scenarios related to loading data warehouses. The case study illustrates the value of model management as a methodology for approaching meta-data related problems. It also helps clarify the required semantics of key operations. These detailed scenarios provide evidence that generic model management is useful and, very likely, implementable.