BIRN-M: A Semantic Mediator for Solving Real-World Neuroscience Problems
Summary: BIRN-M is a semantic mediator that integrates multi-institution neuroscience data via a wrapper-mediator architecture. It connects heterogeneous sources (Oracle, web, SRB, compute results), performs wrapper-driven schema mapping, and uses ontologies with GAV views and a semantic registry to enable cross-source analyses. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Amarnath Gupta
- 2. Bertram Ludaescher
- 3. Maryann E. Martone
- 4. Haiyun He
- 5. Xufei Qian
- 6. Arcot Rajasekar
- 7. Edward Ross
- 8. Simone Santini
- 9. Ilya Zaslavsky
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
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| 3,065 | Processing First-Order Queries under Limited Access Patterns | 2004 | PODS | 7.6230903e-05 |
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