Name
Abstract | ||
|---|---|---|
This paper presents a solution to the Grand Challenge using CQELS (Continuous Query Evaluation over Linked Stream), a general execution framework to build RDF Stream Processing engines to answer continuous analytical queries. It provides an efficient execution architecture whereby incremental computing algorithms can be implemented to boost the performance. Our experimental results show strong effects of the implemented approach as CQELS outperforms a base-line implementation which recomputes on every incoming input. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2675743.2772586 | DEBS |
Field | DocType | Citations |
RDF query language,Architecture,Computer science,Real time analysis,Real-time computing,Rdf stream processing,Database,Distributed computing | Conference | 2 |
PageRank | References | Authors |
0.37 | 18 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danh Le Phuoc | 1 | 329 | 24.60 |
| Minh Dao-Tran | 2 | 395 | 20.39 |
| Anh Lê Tuán | 3 | 15 | 7.73 |
| Manh Nguyen Duc | 4 | 2 | 0.37 |
| Manfred Hauswirth | 5 | 3295 | 225.02 |