PATENT CLAIM ANALYSIS

Application Number: 16359309
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["705", "064000"]

Abstract:
A control system and method for controlling a private blockchain system are provided. The method includes: a process of acquiring input data of the private blockchain system based on a permissioned distributive ledger technology; a process of classifying the input data into a plurality of nodes, edges among the nodes, and property information dependently added to each of individual nodes and individual edges, and loading them in a graph database generated on a basis of a directional graph theory; a process of analyzing graph data loaded in the graph database; and a process of visualizing the graph data to a graph and displaying the graph on a screen. Herein, the graph data is a data model represented by points denoting the nodes having the property information, and lines denoting the edges having the property information and connecting the points to each other.

Claim (Index 12):
The control system according to  claim 10 , wherein the processor performs a process of selecting one of a plurality of verification peers which constitute the private blockchain system, verify each transaction made in the private blockchain system, bundle a transaction under predetermined conditions agreed to be verified mutually into one block, and distribute and store the block, on the basis of the graph data,\n wherein the input data includes ledger raw data of the private blockchain system, and wherein the ledger raw data is acquired from the selected verification peer.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 2.26471
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15898842', '15045148', '15665760', '15422980', '15499224']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1327977728781492
- 35 USC 102 Novelty (BERT): 0.4983979247442978
- Combined Prediction Score: 0.1693577880647641
- Mean Citation Score: 262.445146
- Max Citation Score: 268.98447000000004
- Similarity Product: 211.15058745579248

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

Dataset: test