@inProceedings{
 id = {b00e370a-3d29-36ef-a9cb-9bc05930cf1c},
 title = {Finding reusable business process models based on structural matching},
 type = {inProceedings},
 year = {2009},
 identifiers = {[object Object]},
 keywords = {BPMN,Business process models,Reuse,Structural data mining},
 created = {2014-11-04T17:17:00.000Z},
 pages = {249-255},
 volume = {ISAS},
 websites = {http://www.scopus.com/inward/record.url?eid=2-s2.0-74549192063&partnerID=tZOtx3y1},
 file_attached = {false},
 profile_id = {6b46cd49-f8a1-3799-91ac-6861cf9a050e},
 group_id = {f76fdab6-f3b3-324f-8ded-1f7ff6220077},
 last_modified = {2014-12-10T12:04:02.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 abstract = {Successfully integrating business processes with information systems has been a critical issue in many organizations. Such integrations should take place throughout the various stages of systems development to manage correct, traceable business process requirements. To support business process management (BPM) activities, many modeling formalisms and tools were proposed. Yet reuse of business process knowledge has been understudied although reuse practice is common, often relying on human recollection and reference models. This research proposes a tool support that assists reuse of business process models such as BPMN, EPC, and UML Activity Diagrams. In the suggested approach, the semantics of these formalisms are preserved in the conceptual graph format along with their instantiations and interrelationships. A structural data mining tool is then used to find reusable process models based on similarities in sequences of events and processes. This study can be applied to many reuse-related situations, namely retrieval of reusable process models given a problem, discovery of sequence patterns among process models, and suggesting the instances of (anti-) patterns for learning purpose.},
 bibtype = {inProceedings},
 author = {Woo, Han G.},
 booktitle = {ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings}
}

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