Ontology-Based Integration of Streaming and Static Relational Data with Optique
Summary: Ontology-based integration of streaming and static relational data with Optique enables real-time diagnostics. Semantic queries are automatically enriched and translated into numerous low-level queries then executed in a distributed environment. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Evgeny Kharlamov
- 2. Sebastian Brandt
- 3. Ernesto Jimenez-Ruiz
- 4. Yannis Kotidis
- 5. Steffen Lamparter
- 6. Theofilos Mailis
- 7. Christian Neuenstadt
- 8. Ozguer Ozcep
- 9. Christoph Pinkel
- 10. Christoforos Svingos
- 11. Dmitriy Zheleznyakov
- 12. Ian Horrocks
- 13. Yannis Ioannidis
- 14. Ralf Moller
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,662 | An Efficient Index for RDF Query Containment | 2019 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 53 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00065993143 |
| 6,020 | MASTRO STUDIO: Managing Ontology-Based Data Access applications | 2013 | VLDB | 5.2365238e-05 |
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