Hypergraph Application on Business Process Performance

The modeling of the graphical representation of business processes (BP) or workflows in enterprise information systems (IS) is often to represent various activities, entities, relations, functions, and communicate between them in an enterprise to achieve the major goal of operational support. In thi...

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Main Authors: Khawla Bouafia, Bálint Molnár
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/12/9/370
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spelling doaj-738404911feb45ccbe4df41605c5d7af2021-09-26T00:26:29ZengMDPI AGInformation2078-24892021-09-011237037010.3390/info12090370Hypergraph Application on Business Process PerformanceKhawla Bouafia0Bálint Molnár1Information Systems Department, Faculty of Informatics, Eötvös Loránd University (ELTE), 1117 Budapest, HungaryInformation Systems Department, Faculty of Informatics, Eötvös Loránd University (ELTE), 1117 Budapest, HungaryThe modeling of the graphical representation of business processes (BP) or workflows in enterprise information systems (IS) is often to represent various activities, entities, relations, functions, and communicate between them in an enterprise to achieve the major goal of operational support. In this work, we decided to use graph representation approaches, especially hypergraphs to depict the complex relationships that exist among the artifacts and constituents of BP for more efficient and accurate manipulations. We used bipartite and further hypergraph formats for storing and curating data. We have investigated the various descriptive languages and representation models of BP as process modeling, workflow and process integration, and object-oriented (OO) languages. We have carried out experiments using different approach combinations, but for observing quiltedrepresentation, we focused on the main consistencies of “DBP”. As the final approach, we used the “DBP” stream and data schemes that are defined by us to proceed with using pure Python for manually generating data and external Python libraries to store, curate, and visualize “DBP”.https://www.mdpi.com/2078-2489/12/9/370hypergraph theoryBP modelsbipartite graphhypergraph representationpatternsgeneration and simulation BP data
collection DOAJ
language English
format Article
sources DOAJ
author Khawla Bouafia
Bálint Molnár
spellingShingle Khawla Bouafia
Bálint Molnár
Hypergraph Application on Business Process Performance
Information
hypergraph theory
BP models
bipartite graph
hypergraph representation
patterns
generation and simulation BP data
author_facet Khawla Bouafia
Bálint Molnár
author_sort Khawla Bouafia
title Hypergraph Application on Business Process Performance
title_short Hypergraph Application on Business Process Performance
title_full Hypergraph Application on Business Process Performance
title_fullStr Hypergraph Application on Business Process Performance
title_full_unstemmed Hypergraph Application on Business Process Performance
title_sort hypergraph application on business process performance
publisher MDPI AG
series Information
issn 2078-2489
publishDate 2021-09-01
description The modeling of the graphical representation of business processes (BP) or workflows in enterprise information systems (IS) is often to represent various activities, entities, relations, functions, and communicate between them in an enterprise to achieve the major goal of operational support. In this work, we decided to use graph representation approaches, especially hypergraphs to depict the complex relationships that exist among the artifacts and constituents of BP for more efficient and accurate manipulations. We used bipartite and further hypergraph formats for storing and curating data. We have investigated the various descriptive languages and representation models of BP as process modeling, workflow and process integration, and object-oriented (OO) languages. We have carried out experiments using different approach combinations, but for observing quiltedrepresentation, we focused on the main consistencies of “DBP”. As the final approach, we used the “DBP” stream and data schemes that are defined by us to proceed with using pure Python for manually generating data and external Python libraries to store, curate, and visualize “DBP”.
topic hypergraph theory
BP models
bipartite graph
hypergraph representation
patterns
generation and simulation BP data
url https://www.mdpi.com/2078-2489/12/9/370
work_keys_str_mv AT khawlabouafia hypergraphapplicationonbusinessprocessperformance
AT balintmolnar hypergraphapplicationonbusinessprocessperformance
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