Gaps in text-based knowledge discovery for biology

Drug Discovery Today

Volumn 7, Issue 17, 2002, Pages 897-898

  Wong, Limsoon ^a  

^a Lab for Information Technology   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; BIOLOGY; COST; DATA BASE; DRUG RESEARCH; INFORMATION PROCESSING; INFORMATION SYSTEM; SHORT SURVEY;

EID: 0036742750     PISSN: 13596446     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1359-6446(02)02415-7     Document Type: Note

References (6)

1. Boston Consulting Group (2001) A revolution in R&D - the impact of genomics. BCG Focus June, 1-15
2. Hirschman, L. et al. Accomplishments and challenges in literature data mining for biology. Bioinformatics (in press)
3. Mack R., Hehenberger M. Text-based knowledge discovery: Search and mining of life-sciences documents. Drug Discov. Today. 7:Suppl. 11 2002;S89-S98.
4. Park, J.C. et al. (2001) Bidirectional incremental parsing for automatic pathway identification with combinatory categorial grammar. Proc. Pac. Symp. Biocomput. 396-407
5. Putejovsky, J. and Castano, J.M. (2002) Robust relational parsing over biomedical literature: Extracting inhibit relations. Proc. Pac. Symp. Biocomput. 362-373
6. Hersh W., et al. Challenging conventional assumptions of automated information retrieval with real users: Boolean searching and batch retrieval evaluations. Inf. Process. Manag. 37:2001;383-402.