BioPatentMiner: An Information Retrieval System for BioMedical Patents
Summary: BioPatentMiner augments keyword retrieval over biomedical patents with ontology-derived knowledge in a Semantic Web. It supports RDF-triple queries, discovers semantic associations, and ranks resources to improve relevance and control information overload. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Sougata Mukherjea (IBM)
- 2. Bhuvan Bamba (IBM)
BibTeX Citation
@article{mukherjea_vldb04,
title = {{BioPatentMiner: An Information Retrieval System for BioMedical Patents}},
author = {Mukherjea, Sougata and Bamba, Bhuvan},
journal = {PVLDB},
series = {{VLDB} '04},
doi = {10.1016/B978-012088469-8.50093-0},
url = {https://doi.org/10.1016/B978-012088469-8.50093-0},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,234 | A Protein Patent Query System Powered By Kleisli | 1998 | SIGMOD | 5.9425753e-05 |
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