On the use of domain knowledge for process model repair
Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair tech...
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| Autor*in: |
Revoredo, Kate [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Software and systems modeling - Springer Berlin Heidelberg, 2002, 22(2022), 4 vom: 14. Dez., Seite 1099-1111 |
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| Übergeordnetes Werk: |
volume:22 ; year:2022 ; number:4 ; day:14 ; month:12 ; pages:1099-1111 |
| Links: |
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| DOI / URN: |
10.1007/s10270-022-01067-0 |
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OLC2144848084 |
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| 520 | |a Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. | ||
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10.1007/s10270-022-01067-0 doi (DE-627)OLC2144848084 (DE-He213)s10270-022-01067-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Revoredo, Kate verfasserin (orcid)0000-0001-8914-9132 aut On the use of domain knowledge for process model repair 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. Process model repair Process mining Concept drift Theory revision Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 22(2022), 4 vom: 14. Dez., Seite 1099-1111 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:22 year:2022 number:4 day:14 month:12 pages:1099-1111 https://doi.org/10.1007/s10270-022-01067-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 22 2022 4 14 12 1099-1111 |
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10.1007/s10270-022-01067-0 doi (DE-627)OLC2144848084 (DE-He213)s10270-022-01067-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Revoredo, Kate verfasserin (orcid)0000-0001-8914-9132 aut On the use of domain knowledge for process model repair 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. Process model repair Process mining Concept drift Theory revision Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 22(2022), 4 vom: 14. Dez., Seite 1099-1111 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:22 year:2022 number:4 day:14 month:12 pages:1099-1111 https://doi.org/10.1007/s10270-022-01067-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 22 2022 4 14 12 1099-1111 |
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10.1007/s10270-022-01067-0 doi (DE-627)OLC2144848084 (DE-He213)s10270-022-01067-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Revoredo, Kate verfasserin (orcid)0000-0001-8914-9132 aut On the use of domain knowledge for process model repair 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. Process model repair Process mining Concept drift Theory revision Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 22(2022), 4 vom: 14. Dez., Seite 1099-1111 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:22 year:2022 number:4 day:14 month:12 pages:1099-1111 https://doi.org/10.1007/s10270-022-01067-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 22 2022 4 14 12 1099-1111 |
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10.1007/s10270-022-01067-0 doi (DE-627)OLC2144848084 (DE-He213)s10270-022-01067-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Revoredo, Kate verfasserin (orcid)0000-0001-8914-9132 aut On the use of domain knowledge for process model repair 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. Process model repair Process mining Concept drift Theory revision Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 22(2022), 4 vom: 14. Dez., Seite 1099-1111 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:22 year:2022 number:4 day:14 month:12 pages:1099-1111 https://doi.org/10.1007/s10270-022-01067-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 22 2022 4 14 12 1099-1111 |
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10.1007/s10270-022-01067-0 doi (DE-627)OLC2144848084 (DE-He213)s10270-022-01067-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Revoredo, Kate verfasserin (orcid)0000-0001-8914-9132 aut On the use of domain knowledge for process model repair 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. Process model repair Process mining Concept drift Theory revision Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 22(2022), 4 vom: 14. Dez., Seite 1099-1111 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:22 year:2022 number:4 day:14 month:12 pages:1099-1111 https://doi.org/10.1007/s10270-022-01067-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 22 2022 4 14 12 1099-1111 |
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On the use of domain knowledge for process model repair |
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Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. © The Author(s) 2022 |
| abstractGer |
Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. © The Author(s) 2022 |
| abstract_unstemmed |
Abstract Process models are important for supporting organizations in documenting, understanding and monitoring their business. When these process models become outdated, they need to be revised to accurately describe the new status quo of the processes in the organization. Process model repair techniques help at automatically revising the existing model from behavior traced in event logs. So far, such techniques have focused on identifying which parts of the model to change and how to change them, but they do not use knowledge from practitioners to inform the revision. As a consequence, fragments of the model may change in a way that defies existing regulations or represents outdated information that was wrongly considered from the event log. This paper uses concepts from theory revision to provide formal foundations for process model repair that exploits domain knowledge. Specifically, it conceptualizes (1) what are unchangeable fragments in the model and (2) the role that various traces in the event log should play when it comes to model repair. A scenario of use is presented that demonstrates the benefits of this conceptualization. The current state of existing process model repair techniques is compared against the proposed concepts. The results show that only two existing techniques partially consider the concepts presented in this paper for model repair. © The Author(s) 2022 |
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| title_short |
On the use of domain knowledge for process model repair |
| url |
https://doi.org/10.1007/s10270-022-01067-0 |
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| doi_str |
10.1007/s10270-022-01067-0 |
| up_date |
2024-07-04T00:44:52.096Z |
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