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An ontological approach for organizing a knowledge base to share and reuse business workflow templates
- Source :
- ICIST 2017-Seventh International Conference on Information Science and Technology, ICIST 2017-Seventh International Conference on Information Science and Technology, Apr 2017, Danang, Vietnam. pp.271-277, ⟨10.1109/ICIST.2017.7926769⟩
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- International audience; Business process models have been used in a lot of enterprise applications. Along with their popularity, the problem of how to create them correctly in terms of semantics and syntax while effectively promoting the reuse of suitable parts of existing models is increasingly interest. This paper describes how to organize a knowledge base to facilitate the shareability and reusability of business workflow templates. We first introduce a repository consisting of business workflow templates which are well-checked at the syntactic and semantic level. An organizational mechanism for control flow-based business workflow templates is therefore provided to ensure an effective search of templates. We then propose a process for developing workflow templates. Thereby for each use case, users can select and modify suitable workflow templates from the knowledge base.
- Subjects :
- Windows Workflow Foundation
Computer science
Reuse
02 engineering and technology
computer.software_genre
SPARQL
Workflow engine
Business workflow template
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
XPDL
Workflow technology
Knowledge base
Business process management
0202 electrical engineering, electronic engineering, information engineering
Database
Ontology
business.industry
020207 software engineering
Business process modeling
Business process
Workflow
020201 artificial intelligence & image processing
Software engineering
business
computer
Workflow management system
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 Seventh International Conference on Information Science and Technology (ICIST)
- Accession number :
- edsair.doi.dedup.....4a048960d2b4e10c02ac7e801554b238
- Full Text :
- https://doi.org/10.1109/icist.2017.7926769