INTELLIGENT TECHNOLOGY FOR SEMANTIC COMPLETENESS ASSESSMENT OF BUSINESS PROCESS MODELS

INTELLIGENT TECHNOLOGY FOR SEMANTIC COMPLETENESS ASSESSMENT OF BUSINESS PROCESS MODELS

In this paper, we present a method for comparing business process models with their textual descriptions, using a semantic-based approach based on the SBERT (Sentence-Bidirectional Encoder Representations from Transformers) model. Business process models, especially those created with the BPMN (Busi...

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Bibliographic Details
Main Authors: Oleksandr Rudskyi, Andrii Kopp, Tetiana Goncharenko, Igor Gamayun
Format: Article
Language:English
Published: National Technical University Kharkiv Polytechnic Institute 2024-12-01
Series:Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
Subjects:
business process modeling
bpmn
semantic similarity
sbert
text comparison
business process optimization
natural language processing
Online Access:http://samit.khpi.edu.ua/article/view/320181
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