A framework for querying graph-based business process models
Proceedings of the 19th international conference on World wide web
Searching repositories of web application models
ICWE'10 Proceedings of the 10th international conference on Web engineering
Content-based search of model repositories with graph matching techniques
Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
Expert Systems with Applications: An International Journal
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
Design by selection: a reuse-based approach for business process modeling
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Business process model repositories - Framework and survey
Information and Software Technology
On efficient processing of BPMN-Q queries
Computers in Industry
Fast detection of exact clones in business process model repositories
Information Systems
Querying business process model repositories
World Wide Web
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Determining similarity between business process models has recently gained interest in the business process management community. So far similarity was addressed separately either at semantic or structural aspect of process models. Also, most of the contributions that measure similarity of process models assume an ideal case when process models are enriched with semantics---a description of meaning of process model elements. However, in real life this results in a heavy human effort consuming pre-processing phase which is often not feasible. In this paper we propose an automated approach for querying a business process model repository for structurally and semantically relevant models. Similar to the search on the Internet, a user formulates a BPMN-Q query and as a result receives a list of process models ordered by relevance to the query. We provide a business process model search engine implementation for evaluation of the proposed approach.