Enhanced Benchmark Datasets for a Comprehensive Evaluation of Process Model Matching Techniques

2018 ◽  
pp. 107-122 ◽  
Author(s):  
Muhammad Ali ◽  
Khurram Shahzad
Keyword(s):  
Process Model ◽  
Comprehensive Evaluation ◽  
Model Matching ◽  
Benchmark Datasets ◽  
Matching Techniques

scholarly journals A probabilistic evaluation procedure for process model matching techniques

2018 ◽  
Vol 117 ◽  
pp. 393-406 ◽  
Author(s):  
Elena Kuss ◽  
Henrik Leopold ◽  
Han van der Aa ◽  
Heiner Stuckenschmidt ◽  
Hajo A. Reijers
Keyword(s):  
Process Model ◽  
Evaluation Procedure ◽  
Model Matching ◽  
Probabilistic Evaluation ◽  
Matching Techniques

scholarly journals Probabilistic Evaluation of Process Model Matching Techniques

2016 ◽  
pp. 279-292 ◽  
Author(s):  
Elena Kuss ◽  
Henrik Leopold ◽  
Han van der Aa ◽  
Heiner Stuckenschmidt ◽  
Hajo A. Reijers
Keyword(s):  
Process Model ◽  
Model Matching ◽  
Probabilistic Evaluation ◽  
Matching Techniques

scholarly journals Deep Analysis of Process Model Matching Techniques

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 99239-99253
Author(s):  
Muhammad Ali ◽  
Khurram Shahzad ◽  
Syed Irtaza Muzaffar ◽  
Muhammad Kamran Malik
Keyword(s):  
Process Model ◽  
Model Matching ◽  
Matching Techniques

Compact memetic algorithm-based process model matching

2018 ◽  
Vol 23 (13) ◽  
pp. 5249-5257
Author(s):  
Xingsi Xue
Keyword(s):  
Process Model ◽  
Memetic Algorithm ◽  
Model Matching

A Graph-Based Approach for Semantic Process Model Discovery

2011 ◽  
pp. 438-462 ◽  
Author(s):  
Ahmed Gater ◽  
Daniela Grigori ◽  
Mokrane Bouzeghoub
Keyword(s):  
Web Services ◽  
Process Model ◽  
Service Oriented Architecture ◽  
Graph Matching ◽  
Process Models ◽  
Matching Problem ◽  
Service Oriented ◽  
Semantic Process ◽  
Process Structure ◽  
Matching Techniques

One of the key tasks in the service oriented architecture that Semantic Web services aim to automate is the discovery of services that can fulfill the applications or user needs. OWL-S is one of the proposals for describing semantic metadata about Web services, which is based on the OWL ontology language. Majority of current approaches for matching OWL-S processes take into account only the inputs/outputs service profile. This chapter argues that, in many situations the service matchmaking should take into account also the process model. We present matching techniques that operate on OWL-S process models and allow retrieving in a given repository, the processes most similar to the query. To do so, the chapter proposes to reduce the problem of process matching to a graph matching problem and to adapt existing algorithms for this purpose. It proposes a similarity measure used to rank the discovered services. This measure captures differences in process structure and semantic differences between input/outputs used in the processes.

Evaluating the Impact and ROI of Medical Education Programs

2020 ◽  
pp. 261-293
Author(s):  
Timothy R. Brock
Keyword(s):  
Medical Education ◽  
Evaluation System ◽  
Process Model ◽  
Comprehensive Evaluation ◽  
Evaluation Framework ◽  
Evaluation Methodology ◽  
Education Programs ◽  
Organizational Excellence ◽  
Medical Education Program ◽  
Measurement And Evaluation

Medical education programs must deliver valued results that stakeholders expect in return for their funding investments. In the past, healthcare organizations accepted reports about test results and participant perceptions of the program as adequate evidence of course outcomes. Today, program funders expect evaluations that provide evidence that medical education programs improve organizational excellence measures to justify ongoing funding. This chapter will explain four of the five elements required of a proven, comprehensive evaluation system. This five-element system is necessary to provide the desired organizational excellence evidence that medical educators can adopt to address the needs of stakeholders at different levels of an organization. Specifically, this chapter will overview an evaluation framework, a process model, and guiding principles that are crucial elements of this methodology. The chapter ends with a case study that shows how a medical education team used this measurement and evaluation methodology to plan how they would design and evaluate a medical education program requested by executives to solve an ICU central line infection problem.

A Novel Approach for Business Process Model Matching Using Genetic Algorithms

2020 ◽  
Vol 12 (1) ◽  
pp. 1-19
Author(s):  
Mostefai Abdelkader ◽  
Ignacio García Rodríguez de Guzmán
Keyword(s):  
Genetic Algorithms ◽  
Business Process ◽  
Process Model ◽  
Optimization Problem ◽  
Process Models ◽  
Similarity Metrics ◽  
Model Matching ◽  
Matching Problem ◽  
Novel Approach ◽  
The One

This paper formulates the process model matching problem as an optimization problem and presents a heuristic approach based on genetic algorithms for computing a good enough alignment. An alignment is a set of not overlapping correspondences (i.e., pairs) between two process models(i.e., BP) and each correspondence is a pair of two sets of activities that represent the same behavior. The first set belongs to a source BP and the second set to a target BP. The proposed approach computes the solution by searching, over all possible alignments, the one that maximizes the intra-pairs cohesion while minimizing inter-pairs coupling. Cohesion of pairs and coupling between them is assessed using a proposed heuristic that combines syntactic and semantic similarity metrics. The proposed approach was evaluated on three well-known datasets. The results of the experiment showed that the approach has the potential to match business process models effectively.

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