Difference between revisions of "Obvio"

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'''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).
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'''Obvio''' (spanish for ''obvious'') is the name of the 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).
  
 
=Introduction=
 
=Introduction=

Revision as of 21:15, 7 September 2011

Obvio (spanish for obvious) is the name of the 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).

Introduction

Project Team

Graduate Students: Delroy Cameron, Pablo N. Mendes
External Collaborators: Olivier Bodenreider, Thomas C. Rindflesch, Ramakanth Kavuluru
Faculty: Krishnaprasad Thirunarayan, Amit P. Sheth (Advisor)

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%)