A collective, probabilistic approach to schema mapping using diverse noisy evidence
2017 IEEE 33rd International Conference on Data Engineering (ICDE)(2019)
摘要
We propose a probabilistic approach to the problem of schema mapping. Our approach is declarative, scalable, and extensible. It builds upon recent results in both schema mapping and probabilistic reasoning and contributes novel techniques in both fields. We introduce the problem of schema mapping selection, that is, choosing the best mapping from a space of potential mappings, given both metadata ...
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关键词
Metadata,Task analysis,Probabilistic logic,Cognition,Knowledge engineering,Data engineering,Complexity theory
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