This section introduces the principles of NLP-enhanced extraction of SBVR business vocabulary concepts and business rules from UML use case diagrams. The�...
This section introduces the principles of NLP-enhanced extraction of SBVR business vocabulary concepts and business rules from UML use case diagrams. The�...
This paper presents an approach to automatically transform textual business rules to an SBVR model, to facilitate its integration in nowadays information�...
One of our latest developments in this area was the solution for the automatic extraction of SBVR business vocabularies and business rules from UML use case�...
Nov 28, 2019 � In this paper, we introduce a novel natural language processing (NLP) technique to one of our latest developments for the automatic extraction�...
Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams. Article. May 2020; DATA KNOWL ENG.
Jul 13, 2021 � This paper are the presented set of model-based transformations for extracting well-structured SBVR business vocabularies from visual UML use case models.
People also ask
How is natural language processing used in business?
What is the use case for natural language processing and machine learning?
One of our latestdevelopments in this area was the solution for the automatic extraction of SBVR businessvocabularies and business rules from UML use case�...
In this paper, we introduce a novel natural language processing (NLP) technique to one of our latest developments for the automatic extraction of SBVR business�...
Can be applied extract of business vocabulary and business rules from text phrases in various visual models, such as Use Case diagrams.