Name
Abstract | ||
|---|---|---|
Information Systems, used to share information, lead to the growth of heterogeneous data and then the dependencies between them. Thus, the links and dependencies among heterogeneous and distributed data are more and more complex during daily activities of users (researchers, engineers, etc.). Our contribution is to propose a methodology to facilitate the exploitation (interrogation and sharing) of complex data in an organization. The system, we propose, tends to mix semantic approach with data management. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-92928-6_2 | ARTIFICIAL INTELLIGENCE FOR KNOWLEDGE MANAGEMENT (AI4KM 2016) |
Keywords | Field | DocType |
Knowledge sharing, Data management, Bio-Imaging, PLM | Data science,Ontology (information science),Information system,Knowledge sharing,Computer science,Complex data type,Interrogation,Artificial intelligence,Data management,Machine learning | Conference |
Volume | ISSN | Citations |
518 | 1868-4238 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pham Cong Cuong | 1 | 1 | 1.37 |
| Nada Matta | 2 | 83 | 36.01 |
| Alexandre Durupt | 3 | 14 | 5.78 |
| Benoît Eynard | 4 | 149 | 28.57 |
| Marianne Allanic | 5 | 6 | 2.19 |
| Guillaume Ducellier | 6 | 21 | 6.36 |
| Marc Joliot | 7 | 68 | 6.28 |
| Philippe Boutinaud | 8 | 11 | 3.32 |