LABELING ENTITIES IN A CANONICAL DATA MODEL
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Sep 20, 2017
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Oct 7, 2014
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Enterprises express the concepts of their electronic business-to-business (B2B) communication in differently structured ontology-like schemas. Collaborations benefit from merging the common concepts into semantically unique Business Entities (BEs) in a merged schema. Methods and systems for labeling the merged schema with descriptive, yet short and unique names, are described. A heuristically ranked list of descriptive candidate phrases for each BE is derived locally from the names and descriptions of the underlying concepts. A semantically unique candidate phrase is assigned to each BE that discriminates it from the other BEs by employing a constraint satisfaction problem solver.
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