Difference between revisions of "Obvio"
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# D. Cameron, R. Kavuluru, O. Bodenreider, P. N. Mendes, A. P. Sheth, K. Thirunarayan, [http://knoesis.org/library/resource.php?id=1577 Semantic Predications for Complex Information Needs in Biomedical Literature], [http://www.cs.gsu.edu/BIBM2011/ 5th International Conference on Bioinformatics and Biomedicine BIBM2011], Atlanta GA, November 12-15, 2011 (acceptance rate=19.4%) | # D. Cameron, R. Kavuluru, O. Bodenreider, P. N. Mendes, A. P. Sheth, K. Thirunarayan, [http://knoesis.org/library/resource.php?id=1577 Semantic Predications for Complex Information Needs in Biomedical Literature], [http://www.cs.gsu.edu/BIBM2011/ 5th International Conference on Bioinformatics and Biomedicine BIBM2011], Atlanta GA, November 12-15, 2011 (acceptance rate=19.4%) | ||
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| + | Contact: [http://knoesis.wright.edu/researchers/delroy/ Delroy Cameron] | ||
Revision as of 04:39, 11 September 2011
Obvio (spanish for obvious) is the name of the project on Semantics-based Techniques for Literature-Based Discovery (LBD) in Biomedical Literature. The goal of Obvio is to uncover hidden connections between concepts in text, thereby leading to hypothesis generation from publicly available scientific knowledge sources.
Contents
Introduction
Obvio is driven by assertions extracted from structured text (called semantic predications) as well as assertions obtained from structured knowledge sources (such as the UMLS).
| Project Team |
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Graduate Students: Delroy Cameron, Pablo N. Mendes |
Overview
TODO
Approach
TODO
Publications
- D. Cameron, R. Kavuluru, O. Bodenreider, P. N. Mendes, A. P. Sheth, K. Thirunarayan, Semantic Predications for Complex Information Needs in Biomedical Literature, 5th International Conference on Bioinformatics and Biomedicine BIBM2011, Atlanta GA, November 12-15, 2011 (acceptance rate=19.4%)
Contact: Delroy Cameron
