ALEXANDRIA, Va., July 15 -- United States Patent no. 12,664,169, issued on June 23, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Data set semantic similarity clustering" was invented by Liangzhao Zeng (Cupertino, Calif.) and Ketan P Duvedi (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments of the system in include a method of clustering data sets based on the data set characteristics. A data repository stores a plurality of heterogeneous data sets. For a selected group of data sets (i) obtaining metadata; (ii) identifying upstream data sets; and (iii) extracting semantic features. The method further comprises clustering the plurality of data sets into one...