Workflow Streams: A Means for Compositional Adaptation in Process-Oriented CBR

Müller, Gilbert; Bergmann, Ralph

doi:10.1007/978-3-319-11209-1_23

Cited by 21 publications

(9 citation statements)

References 13 publications

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“…Moreover, the number of propositions varies according to the domain (maths vs sports for example) and also the level reached by the learner. The problem of variety in CBR-system is close to the creativity one adressed in the litterature [13,6,5,3,14]. G. Muller and R. Bergmann proposed to introduce novelty combining different solutions during the adaptation phase [14].…”

Section: Related Workmentioning

confidence: 97%

AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

Henriet

Greffier

2018

Case-Based Reasoning Research and Development

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Section: Related Workmentioning

confidence: 97%

AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

Henriet

Greffier

2018

Case-Based Reasoning Research and Development

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“…Very interestingly, some recent papers in the area of CBR for business process management (Minor et al, 2011(Minor et al, , 2014aMüller & Bergmann, 2014) also consider the reuse/adaptation step of the CBR cycle (Aamodt & Plaza, 1994). An automation of the adaptation step in process model retrieval is easier in very specific domains, such as the one of cooking recipes (Müller & Bergmann, 2014).…”

Section: Related Workmentioning

confidence: 99%

“…An automation of the adaptation step in process model retrieval is easier in very specific domains, such as the one of cooking recipes (Müller & Bergmann, 2014). In this setting, the graph structure is usually quite simple, and adaptation is often limited to ingredient substitution.…”

Section: Related Workmentioning

confidence: 99%

Trace retrieval for business process operational support

Bottrighi

Canensi

Leonardi

et al. 2016

Expert Systems with Applications

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Operational support assists users while process instances are being executed, by making predictions about the instance completion, or recommending suitable actions, resources or routing decisions, on the basis of the already completed instances, stored as execution traces in the event log.In this paper, we propose a case-based retrieval approach to business process management operational support, where log traces are exploited as cases. Once past traces have been retrieved, classical statistical techniques can be applied to them, to support prediction and recommendation. The framework enables the user to submit queries able to express complex patterns exhibited by the current process instance. Such queries can be composed by several simple patterns (i.e., single actions, or direct sequences of actions), separated by delays (i.e., actions we do not care about). Delays can also be imprecise (i.e., the number of actions can be given as a range). The tool also relies on a tree structure, adopted as an index for a quick retrieval from the available event log.Our approach is highly innovative with respect to the existing literature panorama, since it is the first work that exploits case-based retrieval techniques in the operational support context; moreover, the possibility of * Corresponding author. Tel. +39 0131 360340Email addresses: alessio.bottrighi@uniupo.it (Alessio Bottrighi), canensi@di.unito.it (Luca Canensi), giorgio.leonardi@mfn.unipmn.it (Giorgio Leonardi), stefania.montani@uniupo.it (Stefania Montani), terenz@di.unito.it (Paolo Terenziani) Preprint submitted to Expert Systems with ApplicationsOctober 1, 2015 retrieving traces by querying complex patterns and the indexing strategy are major departures also with respect to other existing trace retrieval tools proposed in the Case Based Reasoning area. Thanks to its characteristics and methodological solutions, the tool implements operational support tasks in a flexible and efficient way, as demonstrated by our experimental results.

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“…This can be supported by reasoning methods like Process Oriented Case-Based Reasoning (POCBR) [2] which is a newly merged branch from the Case Based Reasoning (CBR) field. Because case engineering is a complicated and a costly process, automatic case-based acquisition from texts has been a major focus research in the last decade [3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Ontology-based workflow extraction from texts using word sense disambiguation

Halioui

Valtchev

Diallo

2016

Preprint

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This paper introduces a method for automatic workflow extraction from texts using Process-Oriented Case-Based Reasoning (POCBR). While the current workflow management systems implement mostly different complicated graphical tasks based on advanced distributed solutions (e.g. cloud computing and grid computation), workflow knowledge acquisition from texts using case-based reasoning represents more expressive and semantic cases representations. We propose in this context, an ontology-based workflow extraction framework to acquire processual knowledge from texts. Our methodology extends classic NLP techniques to extract and disambiguate tasks in texts. Using a graph-based representation of workflows and a domain ontology, our extraction process uses a context-based approach to recognize workflow components : data and control flows. We applied our framework in a technical domain in bioinformatics : i.e. phylogenetic analyses. An evaluation based on workflow semantic similarities on a gold standard proves that our approach provides promising results in the process extraction domain. Both data and implementation of our framework are available in : http://labo.bioinfo.uqam.ca/tgrowler.

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Workflow Streams: A Means for Compositional Adaptation in Process-Oriented CBR

Cited by 21 publications

References 13 publications

AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

Trace retrieval for business process operational support

Ontology-based workflow extraction from texts using word sense disambiguation

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