ACM Home Page
Please provide us with feedback. Feedback
Exploring biomedical databases with BioNav
Full text PdfPdf (574 KB)
Source
International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents
Providence, Rhode Island, USA
DEMONSTRATION SESSION: Demonstration session: group C table of contents
Pages 1079-1082  
Year of Publication: 2009
ISBN:978-1-60558-551-2
Authors
Abhijith Kashyap  SUNY Buffalo, Buffalo, NY, USA
Vagelis Hristidis  Florida International University, Miami, FL, USA
Michalis Petropoulos  SUNY Buffalo, Buffalo, NY, USA
Sotiria Tavoulari  Yale University, New haven, CT, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 20,   Downloads (12 Months): 71,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1559845.1559987
What is a DOI?

ABSTRACT

We demonstrate the BioNav system, a novel search interface for biomedical databases, such as PubMed. BioNav enables users to navigate large number of query results by categorizing them using MeSH; a comprehensive concept hierarchy used by PubMed. Once the query results are organized into a navigation tree, BioNav reveals only a small subset of the concept nodes at each step, selected such that the expected user navigation cost is minimized. In contrast, previous works expand the hierarchy in a predefined static manner, without navigation cost modeling. BioNav is available at http://db.cse.buffalo.edu/bionav.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
2
3
 
4
Entrez Programming Utilities. http://www.ncbi.nlm.nih.gov/entrez/query/static/eutils_help.html
 
5
Medical Subject Headings(MeSH). http://nlm.nih.gov/mesh/
 
6
Transinsight GmbH GoPubMed. http://gopubmed.org
 
7
J.A. Mitchell, A.R. Aronson and J.G. Mork: Gene Indexing: Characterization and Analysis of NLM's GeneRIFs. In Proceedings of the AMIA Symposium, 8th-12th November, Washington, DC, pp. 460--464, 2003.

Collaborative Colleagues:
Abhijith Kashyap: colleagues
Vagelis Hristidis: colleagues
Michalis Petropoulos: colleagues
Sotiria Tavoulari: colleagues