PATENT CLAIM ANALYSIS

Application Number: 16404405
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["726", "001000"]

Abstract:
In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, “internet of things” computerized device, database, website, data-center, server, etc.). The system may be configured to identify particular data assets and/or personal data in data repositories using any suitable intelligent identity scanning technique.

Claim (Index 10):
A computer-implemented data processing method for scanning one or more data repositories to identify one or more attributes of data associated with one or more individuals, the method comprising:\n connecting, by one or more processors, via one or more computer networks, to one or more databases; scanning, by one of more processors, the one or more databases to generate a catalog of one or more individuals and one or more pieces of personal information associated with the one or more individuals; storing the catalog in computer memory; scanning one or more data repositories based at least in part on the generated catalog to identify one or more attributes of data associated with the one or more individuals by searching one or more data fields in the one or more databases for the one or more pieces of personal information; analyzing and correlating the one or more attributes and metadata for the scanned one or more data repositories; using one or more machine learning techniques to categorize one or more data elements from the generated catalog; analyzing a flow of the one or more data elements between the one or more data repositories and at least one known data asset; and modifying an existing data model of data assets to include an attribute defined by the one or more data elements; and electronically linking the at least one known data asset and the attribute in the existing data model of data assets.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 100.0
- Lexical Diversity: 2.21951
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16041468', '16226272', '16041545', '16404439', '15996208']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3113316358775264
- 35 USC 102 Novelty (BERT): 0.5593477329045334
- Combined Prediction Score: 0.336133245580227
- Mean Citation Score: 386.00877
- Max Citation Score: 433.75162
- Similarity Product: 428.8862806096888

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test