PATENT CLAIM ANALYSIS

Application Number: 15936538
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["717", "104000"]

Abstract:
Engineering environments are provided with standard language. The standard language does not incorporate domain specific vocabulary for different domains. The present invention discloses a method and system for creating domain specific language. The method includes receiving information for a technical problem. Further, creating one or more domain specific concepts based on the information. Further, the method facilitates selection of a design pattern. Subsequently, mapping the domain specific concept to the selected design specific concept to create one or more domain meta-model. Each element of the domain meta-model is translated to create keywords that form the grammar for the domain specific language.

Claim (Index 1):
A method for creating domain specific language, the method comprising of:\n receiving information from a user and creating one or more domain specific concepts by creating a plurality of knowledge models based on the information received from the user, wherein the plurality of knowledge models are created by capturing the information from the user using meta models; selecting a design pattern from one or more pre-stored design patterns; mapping the selected design pattern to the one or more domain specific concepts using a design pattern meta model to obtain a domain meta model; translating each element of the obtained domain meta model into a plurality of keywords to create grammar of the DSL;

Metadata:
- Claim Count in Document: 29.0
- Percentile: 90.0
- Lexical Diversity: 1.86667
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11950926', '14331282', '10591317', '11944223', '12363738']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3209659456046401
- 35 USC 102 Novelty (BERT): 0.4996813349979643
- Combined Prediction Score: 0.3388374845439726
- Mean Citation Score: 165.99503399999998
- Max Citation Score: 178.13982
- Similarity Product: 125.38653157093404

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