Using UMLS-based re-weighting terms as a query expansion strategy

2006 IEEE International Conference on Granular Computing

Volumn , Issue , 2006, Pages 217-222

  Zhu, Weizhong ^a   Xu, Heng ^a   Hu, Xiaohua ^a   Song, Il Yeol ^a   Allen, Robert B ^a  

^a Drexel University   (United States)

Author keywords

Pseudo feedback; Query expansion strategy; Term re weighting; UMLS

Indexed keywords

DATA ACQUISITION; DATA STRUCTURES; MEDICAL COMPUTING; ONLINE SEARCHING; SEARCH ENGINES;

GLOBAL ANALYSIS; ONTOLOGY; PSEUDO FEEDBACK; QUERY EXPANSION;

QUERY LANGUAGES;

EID: 33751119299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Agrawal, R., et al., Fast Discovery of Association Rules, Advances in Knowledge Discovery and Data Mining, U. Fayyad. et al., Editors, 1995, AAAI/MIT Press.
2. Cesarano, C., d'Acierno, A., and Picariello, A., An Intelligent Search Agent System for Semantic Information Retrieval on the Internet. Proceedings of the 5th ACM international workshop on Web information and data management, New Orleans, Louisiana, USA, 2003, 111-117.
3. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K. and Harshman, R. J., Indexing by Latent Semantic Analysis, Journal of the American Society for Information Science, 41(6) 1990, 391-407.
4. Guo, Y., Harkema, H., and Gaizauskas, R., Sheffield University and the TREC 2004 Genomics Track: Query Expansion Using Synonymous Terms, 13th Text Retrieval Conference (TREC 2004).
5. Hersh, W., and Hickam, D., Information Retrieval in Medicine-The Sapphire Experience, Journal of the American Society for Information Science, Dec., 1995, 46(10), 743-747.
6. Hersh, W., Price, S., and Donohoe, L., Assessing thesaurus-based query expansion using the UMLS Metathesaurus, Proc AMIA Symposium, 2000.
7. Leroy, G., and Chen, H., Meeting Medical Terminology Needs: The Ontology-Enhanced Medical Concept Mapper, IEEE Transactions on Information Technology in Biomedicine, 2001, 5(4), 261-270.
8. Lindsay, R.K., and Gordon, M.D., Literature-based discovery by lexical statistics, Journal of the American Society for Information Science, 1999, 50(7), 574-587.
9. Pratt, W. and Yetisgen-Yildiz, M., LitLinker: Capturing connections across the biomedical literature, K-CAP'03, Sanibel Island, FL. Oct. 2003, 105-112.
10. Rocchio, J., Relevance Feedback in information retrieval, In G. Salton (Ed.), The SMART Retrieval System-experiments in Automatic Document Processing (Chap 14), Englewood Cliffs, NJ: Prentice Hall.
11. Richardson R., and Smeaton A.F, Using Wordnet in a knowledge-based approach to information retrieval, In Proceedings of the BCS-IRSG Colloquium, Crewe, 1995.
12. S. E. Robertson and S. Walker (2000), "Okapi/Keenbow at TREC-8," in E. Voorhees and D. K. Harman (Editors), the Eighth Text Retrieval Conference (TREC-8), NIST Special Publication 500-246
13. Weeber, M., Vos, R., Klein, H., de Jong-Van den Berg. L.T.W., Aronson, A. and Molema, G., Generating hypotheses by discovering implicit associations in the literature: A case report for new potential therapeutic uses for Thalidomide. Journal of the American Medical Informatics Association, 2003, 10(3):252-259.
14. Xu, J., and Croft, W., Query expansion using local and global document analysis, In Proceedings of ACM SIGIR, 1996.
15. Xu, J. and Croft, W.B., Improving the Effectiveness of Information Retrieval with Local Context Analysis, ACM Transactions on Information Systems, 18(1), 79-112, 2000.
16. Zhu, A., Gauch, S., Lutz, G., Kral, N., and Pretschner, A., Ontology-Based Web Site Mapping for Information Exploration, Proceedings of the Eighth International Conference on Information and Knowledge Management (CIKM '99), 188-194.
17. http://LUCENE.apache.org/java/docs/api/index.html
18. http://ir.ohsu.edu/genomics/2004protocol.html
19. http://www.alias-i.com/lingpipe/
20. http://www.cs.cmu.edu/~lemur/1.9/tfidf.ps
21. http://www.nlm.nih.gov/research/umls/archive/2004AA/umlsdoc_2004aa.pdf