PATENT CLAIM ANALYSIS

Application Number: 16036609
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["717", "143000"]

Abstract:
The present disclosure relates generally to analyzing and comparing computer scripts, and more specifically, to determining semantic similarities between syntactically different scripts. An example computing system includes a memory configured to store a database, wherein the database is configured to store script canonical form (SCF) representations of scripts, and wherein each SCF representation is a topologically-sorted, labeled, directed graph that includes tables and datasets as nodes, actions as edges, and predicates as labels. The system includes a processor configured to execute instructions stored in the memory to cause the computing system to perform actions including: generating a first SCF representation of a first script, and storing the first SCF representation of the first script in the database.

Claim (Index 1):
A computing system, comprising:\n a memory configured to store a database, wherein the database is configured to store script canonical form (SCF) representations of scripts; and a processor configured to execute instructions stored in the memory to cause the computing system to perform actions comprising:\n generating a first SCF representation of a first script, wherein the first SCF representation is a topologically-sorted, labeled, directed graph that includes: tables and datasets used by the first script represented as nodes of the first SCF representation, actions performed by the first script represented as edges of the first SCF representation, and predicates of the first script represented as labels of the first SCF representation; and \n storing the first SCF representation of the first script in the database.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 1.91304
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15013483', '15968508', '14031099', '15066278', '15263900']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.360296402119011
- 35 USC 102 Novelty (BERT): 0.484871365832045
- Combined Prediction Score: 0.3727538984903145
- Mean Citation Score: 155.557764
- Max Citation Score: 158.84401
- Similarity Product: 114.51061826914072

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