LABELING ENTITIES IN A CANONICAL DATA MODEL
    1.
    发明申请

    公开(公告)号:US20180011879A1

    公开(公告)日:2018-01-11

    申请号:US15710699

    申请日:2017-09-20

    Applicant: SAP SE

    CPC classification number: G06F16/213

    Abstract: 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.

    Labeling entities in a canonical data model

    公开(公告)号:US10545930B2

    公开(公告)日:2020-01-28

    申请号:US15710699

    申请日:2017-09-20

    Applicant: SAP SE

    Abstract: 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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