WordNet: a lexical database for English
Communications of the ACM
Business Process Engineering: Reference Models for Industrial Enterprises
Business Process Engineering: Reference Models for Industrial Enterprises
Sap R/3 Process Oriented Implementation
Sap R/3 Process Oriented Implementation
Distributed and Parallel Databases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Organizing Business Knowledge: The MIT Process Handbook
Organizing Business Knowledge: The MIT Process Handbook
Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Measuring Similarity between Business Process Models
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Inventing Less, Reusing More, and Adding Intelligence to Business Process Modeling
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Applying Patterns during Business Process Modeling
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Instantiation Semantics for Process Models
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness
Improved model management with aggregated business process models
Data & Knowledge Engineering
Empirical Studies in Process Model Verification
Transactions on Petri Nets and Other Models of Concurrency II
Action Patterns in Business Process Models
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Activity labeling in process modeling: Empirical insights and recommendations
Information Systems
Impact of granularity on adjustment behavior in adaptive reuse of business process models
BPM'10 Proceedings of the 8th international conference on Business process management
Machine-assisted design of business process models using descriptor space analysis
BPM'10 Proceedings of the 8th 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
Configurable multi-perspective business process models
Information Systems
Refactoring of process model activity labels
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Meronymy-based aggregation of activities in business process models
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Recommendation-based editor for business process modeling
Data & Knowledge Engineering
Efficient Consistency Measurement Based on Behavioral Profiles of Process Models
IEEE Transactions on Software Engineering
A fragment-driven process modeling methodology
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
On profiles and footprints --- relational semantics for petri nets
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
| Hi-index | 0.01 |
Business process models are extensively used in companies to document and improve business operations. In essence, there are two major challenges. The increasing number of staff with little modeling expertise involved in model design requires new concepts for quality assurance. Moreover, the huge number of process models typically maintained in a model repository impedes extraction of general process knowledge, which can be used for assistance. This article investigates action patterns as a means to address these challenges. Action patterns capture chunks of actions often appearing together in business processes. We formalize the action pattern concept, including several types of behavioral connection, different abstraction levels, and varying action sensitivity to business objects. Our concepts are evaluated based on a prototypical implementation, which we use to extract various types of action patterns from two industrial process model collections. The results demonstrate that action patterns occurring in different application domains can be discovered.