Measuring similarity between semantic business process models
APCCM '07 Proceedings of the fourth Asia-Pacific conference on Comceptual modelling - Volume 67
On Measuring Process Model Similarity Based on High-Level Change Operations
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Graph Matching Algorithms for Business Process Model Similarity Search
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Instantaneous Soundness Checking of Industrial Business Process Models
BPM '09 Proceedings of the 7th International Conference on Business Process Management
The ICoP Framework: identification of correspondences between process models
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Similarity of business process models: Metrics and evaluation
Information Systems
Fast business process similarity search with feature-based similarity estimation
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Searching business process repositories using operational similarity
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
Process equivalence: comparing two process models based on observed behavior
BPM'06 Proceedings of the 4th international conference on Business Process Management
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Speeding up the business process design phase is a crucial challenge in recent years. Some solutions, such as defining and using reference process models or searching similar processes to a working one, can facilitate the designer's work. However, recommending the whole process can make the designer confused, especially in case of large-size business processes. In this paper, we introduce the concept of activity neighborhood context in order to propose an approach that fasten the design phase regardless the size of business process. Concretely, we recommend the designer the activities that are close to the designing process from existing business processes. We evaluate our approach on a large collection of public business processes. Experimental results show that our approach is feasible and efficient.