US 10,891,296 B2
Search engine for industrial analysis development toolset
Karen J. Smiley, Raleigh, NC (US); Pankeshkumar Gopalbhai Patel, College Park, MD (US); and David N. Cox, Raleigh, NC (US)
Assigned to ABB Schweiz AG, Baden (CH)
Filed by ABB Schweiz AG, Baden (CH)
Filed on Dec. 11, 2018, as Appl. No. 16/215,803.
Prior Publication US 2020/0183942 A1, Jun. 11, 2020
Int. Cl. G06F 16/2457 (2019.01); G06F 16/9538 (2019.01); G06F 16/9535 (2019.01)
CPC G06F 16/24578 (2019.01) [G06F 16/9535 (2019.01); G06F 16/9538 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method of analyzing and ranking compatibility of combinations of a data set and a plurality of data analysis tools operable to analyze the data sets, the method comprising:
tagging the plurality of data analysis tools with one or more metadata tags selected from a plurality of metadata tags, each of the plurality of metadata tags indicating a data analysis tool characteristic or a data set characteristic, each data analysis tool characteristic indicating at least one of an attribute of an input used by a corresponding data analysis tool and an attribute of a processing operation performed by the corresponding data analysis tool;
tagging the data set with one or more metadata tags selected from the plurality of metadata tags, the selected metadata tags having a characteristic matching the data set characteristic of the data set;
receiving a request to rank combinations of the data set and the plurality of data analysis tools;
scoring a plurality of combinations of the plurality of data analysis tools and the data set according to correspondence between the metadata tags tagged to each of the plurality of data analysis tools and the metadata tags tagged to the data set; and
outputting a ranking of the plurality of combinations indicating the scoring.