The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 04, 2025
Filed:
Jun. 22, 2022
Teachers Insurance and Annuity Association of America, New York, NY (US);
Edward J. Miller, Jr., Iola, KS (US);
Daniel R. Hursh, Dayton, OH (US);
Alexis S. Pecoraro, Huntersville, NC (US);
Pankaj Agrawal, Concord, NC (US);
James G. Rauscher, Erie, CO (US);
John V. Hintze, Charlotte, NC (US);
Teachers Insurance and Annuity Association of America, New York, NY (US);
Abstract
Disclosed are methods and systems for model-based data transformation. An example method includes: receiving a source graph model describing a source data structure, wherein the source graph model comprises a source root node associated with a plurality of source section nodes, wherein each source section node of the plurality of source section nodes is associated with at least one source attribute node; receiving a target graph model describing a target data structure, wherein the target graph model comprises a target root node associated with a plurality of target section nodes, wherein each target section node of the plurality of target section nodes is associated with at least one target attribute node; receiving a transformation map associating a target attribute node of the target data structure with one or more source attribute nodes of the source data structure; extracting, from the source data structure, one or more source data items associated with the one or more source attribute nodes; generating, by applying a transformation specified by the transformation map to the one or more source data items, a target data item associated with the target attribute node; and storing the target data item in the target data structure.