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METHOD AND APPARATUS FOR AUTOMATICALLY MAPPING PHYSICAL DATA MODELS/OBJECTS TO LOGICAL DATA MODELS AND BUSINESS TERMS
METHOD AND APPARATUS FOR AUTOMATICALLY MAPPING PHYSICAL DATA MODELS/OBJECTS TO LOGICAL DATA MODELS AND BUSINESS TERMS
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机译:用于将物理数据模型/对象自动映射到逻辑数据模型和业务术语的方法和设备
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摘要
Various methods, apparatuses/systems, and media for automatically mapping physical data models or objects to logical data models which in turn are automatically mapped to business terms are disclosed. A database stores a raw physical data model of an application. A processor extracts the raw physical data model of the application from the database. The processor also converts physical object names associated with the raw physical data model into English terms based on a taxonomy expansion list; applies a plurality of standardization and contextualization rules to the English terms generated from converting the physical object names; outputs names based on applying the plurality of standardization and contextualization rules to the English terms; applies fuzzy logic and machine learning routines and matching algorithms for matching the names to predefined logical terms; and automatically generates a mapping of physical objects or elements in the application with logical attributes and related business terms.
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