research-article

Context-aware process mining framework for business process flexibility

Authors:

Zerari Mounira,

Boufaida MahmoudAuthors Info & Claims

iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services

Pages 421 - 426

https://doi.org/10.1145/1967486.1967552

Published: 08 November 2010 Publication History

Abstract

Workflow Management Systems (WFMSs) have been regarded as one of the main types of the next generation information systems. They are perceived that workflow technology not only requires the support for complex data model functionality, but also flexibility for dynamically modifying the workflow specifications. Nowadays, approaches that aim to increase flexibility neglects the Business Process Context. Context is any information that can be used to characterize the situation of an entity (i.e., a person, computing device, or non-computational physical object). This paper proposes a Context-aware process mining framework by which contexts will be automatically captured from Business Process execution environments in order to maximize the flexibility of business Processes. Indeed, it describes how process mining techniques are used to extract information on business process context and how we reason about those information.

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Cited By

Ahmadi ZDe Weerdt JSerral Asensio E(2024)A Novel Contextualization Method for Process Discovery Using Activity Specialization HierarchiesEnterprise, Business-Process and Information Systems Modeling10.1007/978-3-031-61007-3_12(143-155)Online publication date: 31-May-2024
https://doi.org/10.1007/978-3-031-61007-3_12
Toyoda KGan Kai Ying RZhang ASiew T(2023)Identifying the Key Attributes in an Unlabeled Event Log for Automated Process DiscoveryIEEE Transactions on Services Computing10.1109/TSC.2023.3330175(1-8)Online publication date: 2023
https://doi.org/10.1109/TSC.2023.3330175
Revina ARizun NAksu Ü(2023)Towards a Framework for Context Awareness Based on Textual Process Data: Case Study InsightsEnterprise Design, Operations, and Computing. EDOC 2022 Workshops10.1007/978-3-031-26886-1_2(25-41)Online publication date: 24-Feb-2023
https://doi.org/10.1007/978-3-031-26886-1_2
Show More Cited By

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Context-aware process mining framework for business process flexibility

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cover image ACM Other conferences

iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services

November 2010

895 pages

ISBN:9781450304214

DOI:10.1145/1967486

General Chair:
Eric Pardede
La Trobe University, Australia
,
Program Chairs:
David Taniar
Monash University, Australia
,
Eric Pardede
La Trobe University, Australia

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 08 November 2010

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iiWAS '10: 12th International Conference on Information Integration and Web-based Applications & Services

November 8 - 10, 2010

Paris, France

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Cited By

Ahmadi ZDe Weerdt JSerral Asensio E(2024)A Novel Contextualization Method for Process Discovery Using Activity Specialization HierarchiesEnterprise, Business-Process and Information Systems Modeling10.1007/978-3-031-61007-3_12(143-155)Online publication date: 31-May-2024
https://doi.org/10.1007/978-3-031-61007-3_12
Toyoda KGan Kai Ying RZhang ASiew T(2023)Identifying the Key Attributes in an Unlabeled Event Log for Automated Process DiscoveryIEEE Transactions on Services Computing10.1109/TSC.2023.3330175(1-8)Online publication date: 2023
https://doi.org/10.1109/TSC.2023.3330175
Revina ARizun NAksu Ü(2023)Towards a Framework for Context Awareness Based on Textual Process Data: Case Study InsightsEnterprise Design, Operations, and Computing. EDOC 2022 Workshops10.1007/978-3-031-26886-1_2(25-41)Online publication date: 24-Feb-2023
https://doi.org/10.1007/978-3-031-26886-1_2
Koschmider AMannhardt FHeuser T(2019)On the Contextualization of Event-Activity MappingsBusiness Process Management Workshops10.1007/978-3-030-11641-5_35(445-457)Online publication date: 29-Jan-2019
https://doi.org/10.1007/978-3-030-11641-5_35
Kirsch-Pinheiro MRychkova I(2013)Dynamic Context Modeling for Agile Case ManagementOn the Move to Meaningful Internet Systems: OTM 2013 Workshops10.1007/978-3-642-41033-8_21(144-154)Online publication date: 2013
https://doi.org/10.1007/978-3-642-41033-8_21
Rychkova IKirsch-Pinheiro MLe Grand B(2013)Context-Aware Agile Business Process Engine: Foundations and ArchitectureEnterprise, Business-Process and Information Systems Modeling10.1007/978-3-642-38484-4_4(32-47)Online publication date: 2013
https://doi.org/10.1007/978-3-642-38484-4_4

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