Abstract | ||
---|---|---|
In this paper, we propose a Multidimensional Business Ontology based-Premodeling System (MBOPS). Its knowledge-oriented core ensures an easier use and share for unambiguous business process modeling. Furthermore, the proposed (MBOPS) guarantees a good understanding level for the modelled-domain familiar designers as well as the modelled-domain non-familiar designers thanks to a Multidimensional business ontology. In order to evaluate the proposed (MBPS) and demonstrate its effectiveness, we choice the breast cancer treatment protocols as an applicative field. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.procs.2019.09.236 | Procedia Computer Science |
Keywords | Field | DocType |
Framework,Business ontology,Knowledge Dimension,Business rules,Semantic relationships,Protege,Breast cancer | Data science,Computer science,Business ontology,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
159 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sonya Ouali | 1 | 0 | 0.68 |
Mohamed Mhiri | 2 | 0 | 0.34 |
Faïez Gargouri | 3 | 244 | 92.29 |