Name
Title | ||
|---|---|---|
A Semantic-checking based Model-driven Approach to Serve Multi-organization Collaboration. |
Abstract | ||
|---|---|---|
Multi-organization collaboration, which allows partners focus on their core business, is becoming a trend. Besides the interoperability of each partner, the mechanism of selecting qualified and suitable partners is another key issue to guarantee the success of collaboration. Based on our previous work, this paper aims to provide a model-driven approach to solve the partners selecting problem in building collaboration. In this approach, a meta-model is defined to describe the context of collaboration. All the potential partners’ inputs shall be conformed to this meta-model. In order to select the required partners automatically, semantic checks are combined. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.procs.2018.07.217 | Procedia Computer Science |
Keywords | Field | DocType |
Multi-organization collaboration,Partners selecting,Model-driven approach,Semantic checks | Core business,Interoperability,Computer science,Knowledge management,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
126 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiexin Wang | 1 | 8 | 4.86 |
| Aurélie Montarnal | 2 | 6 | 8.00 |
| Sébastien Truptil | 3 | 54 | 15.30 |
| Frédérick Benaben | 4 | 102 | 30.29 |
| Matthieu Lauras | 5 | 85 | 18.34 |
| Jacques Lamothe | 6 | 58 | 9.16 |