A Case Modelling Language for Process Variant Management in Case-Based Reasoning

Cognini, Riccardo; Hinkelmann, Knut; Martin, Andreas

doi:10.1007/978-3-319-42887-1_3

Cited by 8 publications

(8 citation statements)

References 13 publications

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“…However, they indicated that the interaction and suitability of using both standards for one process need further detailed study. Academic admission . Cognini et al (Cognini et al, 2015) introduced a case‐based process fragment modeling language (notation) called Business Process Feature Model (BPFM) that can merge with Case‐Based Reasoning (CBR) to model a case. Then, they demonstrated the BPFM on an application scenario for a master study admission process.…”

Section: Use Cases and Recommended Practicesmentioning

confidence: 99%

Adaptive case management: An overview

Shahrah

Al‐Mashari

2021

Knowl Process Manag

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Knowledge work is growing in today's marketplace, supported by "knowledge workers," a valuable asset in organizations. Traditional software applications are too rigid to support knowledge work or empower knowledge workers to perform their nonroutine tasks. Therefore, most knowledge work today is managed manually or using ad-hoc technologies such as e-mail and social media. Adaptive case management (ACM) is a new promising approach for effectively supporting knowledge work, empowering knowledge workers, and overcoming the limitations of traditional software applications. Nevertheless, ACM is an emerging field accompanied by confusion and debate among researchers and practitioners. This study aims at providing an overview of the key concepts and principles of ACM. Furthermore, this study outlines the major differences between traditional business process management and ACM.

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Section: Use Cases and Recommended Practicesmentioning

confidence: 99%

Adaptive case management: An overview

Shahrah

Al‐Mashari

2021

Knowl Process Manag

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“…In the context of business processes, some specific human activities couldn't easily be modeled with regular process modeling languages, and therefore, were left as dedicated activities or sub-processes [19].…”

Section: B Knowledge Intensive Processesmentioning

confidence: 99%

“…Cognini et al [19] study how to partially structure processes depending on the possible variances. As knowledge work is not predictable, there usually are no predefined structure available to help a knowledge worker to take a decision.…”

Section: Execution Support For Kipmentioning

confidence: 99%

“…The activity-centered view highlights structure, and focuses on the order of activities. Here, some high level structures [24] or patterns [19] can be explored.…”

Section: How To Support Compliance In Kip?mentioning

confidence: 99%

“…[58] introduces goal patterns for SToBPM. [19] represented cases with CBR and BPFM in order to help knowledge workers by proposing solutions based on process fragments.…”

Section: How To Support Compliance In Kip?mentioning

confidence: 99%

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Challenges in Knowledge Intensive Process Management

Boissier

Rychkova

Grand

2019

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)

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Processes where knowledge is a key characteristic are called knowledge intensive processes (KIP). A successful KIP has to adapt for the situation and to treat each customer's request as unique rather than to follow some predefined sequence of actions. The discipline of Business Process Management (BPM) defines solutions for modeling, development, analysis and improvement of processes with a predefined flow of activities. From the traditional, activity-centered point of view, KIP are challenging to automate, to control and to test for compliance.In this article we present the overview of recent works that address the challenges and explore different ideas, including extension of BPM, theoretical foundations for KIP management and execution support for KIP. We also outline some research perspectives in KIP management and discuss one particular idea that exploits the data-centered point of view on KIP.

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