Name
Abstract | ||
|---|---|---|
The early detection of flaws and errors has become a significant feature of a business process modeling tool. This paper proposes an ontology-based approach for business process compliance checking. The business processes and the business rules are represented in a machine understandable form, a reasoner is used to reason on this knowledge base for detecting the potential semantic error by using a set of predefined rules.
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Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2857546.2857603 | IMCOM |
Field | DocType | ISBN |
Artifact-centric business process model,Business process management,Data mining,Semantics of Business Vocabulary and Business Rules,Software engineering,Business process,Computer science,Real-time computing,Business process modeling,Business process discovery,Business Process Model and Notation,Business rule | Conference | 978-1-4503-4142-4 |
Citations | PageRank | References |
3 | 0.36 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tuan Anh Pham | 1 | 16 | 3.32 |
| Nhan Le Thanh | 2 | 28 | 14.98 |