Difference between revisions of "Obvio"
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'''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). | '''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). | ||
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Revision as of 22:12, 21 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.
Introduction
Not that techniques are available for predication extraction, automating Swanson's hypothesis generation using the MEDLINE corpus (1983-1985) becomes particularly appealing. In particular, the extent of combinatorial explosion presents a major limitation in using the predications to recover the original paths suggested by Swanson. At the same time however, many alternative and potentially interesting connects may also exist, not limited to the length and types suggested by Swanson. In this project we intend to (semi)automatically discover interesting paths between concepts in closed-domain Literature-Based Discovery (LBD).
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Graduate Students: Delroy Cameron, Pablo N. Mendes |
Approach
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).
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%) (to appear)
Contact: Delroy Cameron
