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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)

Paper ID
3557
Venue
SIGMOD
Year
2003
Pagerank
-
Overall Rank
13,931 | 4.43%
DOI
10.1145/872757.872869

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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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2,733 Processing First-Order Queries under Limited Access Patterns 2004 PODS 8.1927747e-05
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