ACM Portal
  Subscribe (Full Service)    Register (Limited Service, Free)    Login
  Search:   The ACM Digital Library   The Guide
  
ACM Home Page
Please provide us with feedback. Feedback
Manjal: a text mining system for MEDLINE
Full text PdfPdf (83 KB)
Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Salvador, Brazil
SESSION: Demos table of contents
Pages: 680 - 680  
Year of Publication: 2005
ISBN:1-59593-034-5
Authors
Aditya Kumar Sehgal  The University of Iowa, Iowa City, IA
Padmini Srinivasan  The University of Iowa, Iowa City, IA
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 14,   Downloads (12 Months): 57,   Citation Count: 0
Additional Information:

references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1076034.1076192
What is a DOI?

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
Don R. Swanson. Fish oil, Raynaud's syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine, pages 7--18, 1986.
 
2
P. Srinivasan, B. Libbus, and A.K. Sehgal. Mining MEDLINE: Postulating a Beneficial Role for Curcumin Longa in Retinal Diseases. HLT Biolink, May 2004.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software


General Terms:
Algorithms, Design, Performance


Keywords:
closed discovery, open discovery, text mining, topic profile

Collaborative Colleagues:
Aditya Kumar Sehgal: colleagues
Padmini Srinivasan: colleagues

The ACM Portal is published by the Association for Computing Machinery. Copyright © 2008 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player