ToMAS: a system for adapting mappings while schemas evolve

Yannis Velegrakis, Renée J. Miller, Lucian Popa, J. Mylopoulos
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引用次数: 22

Abstract

We demonstrate the Toronto Mapping Adaptation System (ToMAS), a tool for automatically detecting and adapting mappings that have become invalid or inconsistent due to changes in either data semantics or schemas. Due to its modular architecture and its stand-alone nature, ToMAS can easily be applied to numerous scenarios and can interoperate with many other tools. To the best of our knowledge, no other tool can correctly maintain the consistency of the mappings under schema changes at the level of complexity supported by ToMAS.
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ToMAS:一个在模式发展时调整映射的系统
我们演示了多伦多映射适应系统(ToMAS),这是一个自动检测和适应由于数据语义或模式变化而无效或不一致的映射的工具。由于其模块化架构和独立的特性,ToMAS可以很容易地应用于许多场景,并且可以与许多其他工具进行互操作。据我们所知,没有其他工具能够在ToMAS所支持的复杂性级别上正确地维护模式更改下映射的一致性。
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