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SYSTEM AND METHOD FOR ONTOLOGY INDUCTION THROUGH STATISTICAL PROFILING AND REFERENCE SCHEMA MATCHING
SYSTEM AND METHOD FOR ONTOLOGY INDUCTION THROUGH STATISTICAL PROFILING AND REFERENCE SCHEMA MATCHING
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机译:通过统计仿形和参考模式匹配进行本体诱导的系统和方法
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摘要
In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can provide support for auto-mapping of complex data structures, datasets or entities, between one or more sources or targets of data, referred to herein in some embodiments as HUBs. The auto-mapping can be driven by a metadata, schema, and statistical profiling of a dataset; and used to map a source dataset or entity associated with an input HUB, to a target dataset or entity or vice versa, to produce an output data prepared in a format or organization (projection) for use with one or more output HUBs.
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