PATENT CLAIM ANALYSIS

Application Number: 15865047
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["714", "021000"]

Abstract:
Examples provided herein describe a method for graph-based issue detection and remediation. For example, an edge device in a network may receive a representation of a present state of a module. The present state may be encoded in a graph database, where the graph database comprises a set of representations of the module. Based on a comparison of the encoded present state and the set of representations, a determination may be made as to whether an issue exists with the present state of the module and the issue may be caused to be remediated.

Claim (Index 3):
The method of  claim 1 , wherein determining whether the issue exists comprises:\n receiving error information related to the issue from multiple modules of a same type as the module, each of the multiple modules running in a corresponding edge device from a set of multiple edge devices; aggregating the received error information into a predefined format; encoding the aggregated information into the graph database based on the dependencies of the module; and determining that the issue exists with the present state of the module responsive to the present state of the module matching an aggregated state of the module that is associated with the issue.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.02
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15809889', '12765431', '13977003', '14853870', '14151252']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2448219811989668
- 35 USC 102 Novelty (BERT): 0.4808819008829692
- Combined Prediction Score: 0.268427973167367
- Mean Citation Score: 122.133943
- Max Citation Score: 125.7913
- Similarity Product: 82.63534762720468

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test