Name
Abstract | ||
|---|---|---|
Knowledge service is critical to enterprise collaboration in cluster supply chain. However, current cluster enterprises have limited capabilities for knowledge sharing. In order to address the knowledge service needs of cluster supply chain, this paper proposes a novel semantic-based knowledge service approach. In the approach, a multi-level knowledge model is presented to achieve uniform and flexible representation for cluster public knowledge and enterprise private knowledge, which further forms complex knowledge network for cluster supply chain. Then the knowledge collaboration mechanism is utilized to support knowledge collaborative creating and enriching, and cooperative sharing. In addition, the knowledge access control scheme is employed to ensure high security. To demonstrate the practicality of the proposed approach, a knowledge service platform is implemented, including several core services such as knowledge collaborative editing, retrieval and visual navigation, etc. Applications show that this platform can support knowledge sharing between enterprises effectively and further promote the development of cluster supply chain efficiently. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CSCWD.2012.6221865 | CSCWD |
Keywords | Field | DocType |
visual navigation,collaboration,enterprise private knowledge,enterprise collaboration,multilevel knowledge model,knowledge service,supply chain management,cluster enterprises,knowledge management,knowledge access control scheme,cluster supply chain,knowledge collaborative editing,knowledge sharing,cluster public knowledge,authorisation,semantic,knowledge retrieval,cooperative sharing,semantic-based knowledge service,knowledge collaboration mechanism,groupware,access control,security,knowledge based system,semantics,knowledge based systems,supply chain,ontologies | Knowledge sharing,Computer science,Knowledge management,Knowledge-based systems,Knowledge value chain,Supply chain management,Supply chain,Knowledge extraction,Knowledge base,Open Knowledge Base Connectivity | Conference |
ISBN | Citations | PageRank |
978-1-4673-1211-0 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Wang | 1 | 38 | 7.16 |
| Meng Wang | 2 | 4 | 1.41 |
| Yang Shuai | 3 | 23 | 5.19 |
| Lanfen Lin | 4 | 78 | 24.70 |