PATENT CLAIM ANALYSIS

Application Number: 16007911
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["706", "012000"]

Abstract:
In some embodiments, templates related to each graph data model of a graph data model set for converting non-graph data representations in a non-graph database to graph data representations compatible with a graph database may be obtained. One or more templates and the non-graph data representations may be provided to a neural network for the neural network to predict additional templates. The additional templates may be provided to the neural network as reference feedback for the neural network's prediction of the additional templates to train the neural network. A collection of non-graph data representations from a given non-graph database may be provided to the neural network for the neural network to generate one or more templates for a given graph data model for converting non-graph data representations in the given non-graph database into graph data representations compatible with a given graph database.

Claim (Index 6):
The system of  claim 4 , wherein the computer system is caused to:\n obtain a given node or edge from the neural network based on the traversal of the graph; obtain a user declination with respect to adding the given node or edge, wherein the given node or edge is not added to the graph based on the user declination; and provide an indication of the user declination to the neural network as reference feedback regarding the neural network's generation of the given node or edge.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.96
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16007850', '16007639', '15488433', '15147222', '14828150']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4030764871681332
- 35 USC 102 Novelty (BERT): 0.520735477550065
- Combined Prediction Score: 0.4148423862063264
- Mean Citation Score: 232.638672
- Max Citation Score: 316.03442
- Similarity Product: 198.55981451807023

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

Dataset: test