Name
Abstract | ||
|---|---|---|
Adopting a mature AI strategy is fundamental for modern knowledge companies to govern the proliferation of smart AI-driven applications and to coordinate them within coherent knowledge workflows. We propose knowledge graphs as the reference technology for the enterprise AI context, i.e., the complex of entities, properties and relationships that shape a business domain and constitute a common backbone for all AI-driven applications. We contribute and discuss principles to design software architectures for AI-driven applications based on knowledge graphs. We focus on the Vadalog system, a successful knowledge graph middleware from the University of Oxford and show knowledge graphs in action in a number of use cases from the financial domain. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICDE.2019.00011 | 2019 IEEE 35th International Conference on Data Engineering (ICDE) |
Keywords | Field | DocType |
Cognition,Companies,Data models,Banking,Knowledge engineering | Middleware,Data modeling,Knowledge graph,Use case,Software engineering,Computer science,Knowledge engineering,Business domain,Cognition,Workflow,Database | Conference |
ISSN | ISBN | Citations |
1084-4627 | 978-1-5386-7474-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luigi Bellomarini | 1 | 46 | 13.11 |
| Daniele Fakhoury | 2 | 0 | 0.34 |
| G. Gottlob | 3 | 34 | 13.58 |
| Emanuel Sallinger | 4 | 71 | 20.76 |