Semantic model based approach for knowledge intensive processes
- Publisher:
- Springer
- Publication Type:
- Conference Proceeding
- Citation:
- Software Process Improvement and Capability Determination, 2018, 918, pp. 215-229
- Issue Date:
- 2018-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Binder6.pdf | Published version | 1.96 MB |
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Many business processes present in modern enterprises are loosely defined, highly interactive, involve frequent human interventions. They are coupled with a multitude of abstract entities defined within an enterprise architecture. Further, they demand agility and responsiveness to address the frequently changing business requirements. Traditional process modelling and knowledge management technologies are not adequate to represent and support those processes. In this paper, we discuss how a process management system based on semantic models can be used to address the needs of non-traditional and knowledge intensive processes. The modelling capabilities of the framework are demonstrated via a case study and evaluated using set requirements that KIP supporting process management system should have. Finally, we discuss how this semantic model based solution can be improved further to cater for the management and execution of knowledge-intensive business processes in a broader context.
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