Difference between revisions of "Obvio"
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Graduate Students: [http://knoesis.wright.edu/researchers/delroy/ Delroy Cameron], [http://pablomendes.com Pablo N. Mendes]<br /> | Graduate Students: [http://knoesis.wright.edu/researchers/delroy/ Delroy Cameron], [http://pablomendes.com Pablo N. Mendes]<br /> | ||
| − | External | + | External Collaborators: [http://mor.nlm.nih.gov/ Olivier Bodenreider], Thomas C. Rindflesch, [http://knoesis.wright.edu/aboutus/people?first=Ramakanth&last=Kavuluru Ramakanth Kavuluru] <br /> |
| − | + | Faculty: [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan], [http://knoesis.wright.edu/amit Amit P. Sheth] (Advisor)<br /> | |
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=Overview= | =Overview= | ||
TODO | TODO | ||
Revision as of 21:00, 7 September 2011
Obvio (spanish for obvious), is the name of our project on Semantics-Driven Techniques for Literature-Based Discovery (LBD) in Biomedical Literature. The goal is to uncover hidden connections between concepts in text, thereby leading to scientific hypothesis generation from public knowledge. Obvio is driven by assertions extracted from structured text and assertions obtained from structured knowledge sources (such as the UMLS).
Contents
Introduction
| 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 BIBM11, Atlanta GA, November 12-15, 2011 (accepted) (acceptance rate=19.4%)
