Search engine for industrial analysis development toolset

    公开(公告)号:US10891296B2

    公开(公告)日:2021-01-12

    申请号:US16215803

    申请日:2018-12-11

    Applicant: ABB Schweiz AG

    Abstract: Unique systems, methods, techniques and apparatuses for ranking and applying industrial analysis search results are disclosed. One exemplary embodiment is a computer implemented method comprising receiving a request to rank potential combinations of the data set and the plurality of data analysis tools; tagging the plurality of data analysis tools with one or more metadata tags selected from a plurality of metadata tags; tagging the data set with one or more metadata tags selected from the plurality of metadata tags; scoring a plurality of potential combinations of the data analysis tool and the plurality of data sets according to correspondence between the metadata tags tagged to the data analysis tool and the metadata tags tagged to each of the plurality of data sets; and outputting a user perceptible ranking of the plurality of potential combinations indicating the scoring.

    SEARCH ENGINE FOR INDUSTRIAL ANALYSIS DEVELOPMENT TOOLSET

    公开(公告)号:US20200183942A1

    公开(公告)日:2020-06-11

    申请号:US16215803

    申请日:2018-12-11

    Applicant: ABB Schweiz AG

    Abstract: Unique systems, methods, techniques and apparatuses for ranking and applying industrial analysis search results are disclosed. One exemplary embodiment is a computer implemented method comprising receiving a request to rank potential combinations of the data set and the plurality of data analysis tools; tagging the plurality of data analysis tools with one or more metadata tags selected from a plurality of metadata tags; tagging the data set with one or more metadata tags selected from the plurality of metadata tags; scoring a plurality of potential combinations of the data analysis tool and the plurality of data sets according to correspondence between the metadata tags tagged to the data analysis tool and the metadata tags tagged to each of the plurality of data sets; and outputting a user perceptible ranking of the plurality of potential combinations indicating the scoring.

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