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 (University of California San Diego)
- 2. Bertram Ludaescher (University of California San Diego)
- 3. Maryann E. Martone (University of California San Diego)
- 4. Haiyun He (University of California San Diego)
- 5. Xufei Qian (University of California San Diego)
- 6. Arcot Rajasekar (University of California San Diego)
- 7. Edward Ross (University of California San Diego)
- 8. Simone Santini (University of California San Diego)
- 9. Ilya Zaslavsky (University of California San Diego)
BibTeX Citation
@inproceedings{gupta_sigmod03,
title = {{BIRN-M: A Semantic Mediator for Solving Real-World Neuroscience Problems}},
author = {Gupta, Amarnath and Ludaescher, Bertram and Martone, Maryann E. and He, Haiyun and Qian, Xufei and Rajasekar, Arcot and Ross, Edward and Santini, Simone and Zaslavsky, Ilya},
series = {{SIGMOD} '03},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/872757.872869},
url = {https://dl.acm.org/doi/10.1145/872757.872869},
year = {2003}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
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| 2,733 | Processing First-Order Queries under Limited Access Patterns | 2004 | PODS | 8.1927747e-05 |
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