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] | Contact: [http://knoesis.wright.edu/researchers/delroy/ Delroy Cameron] | ||
Revision as of 19:27, 6 January 2012
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
Overview
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 |
Application
Reachability/Question Answering
One application of semantic predications is in the field on biomedical Question Answering(QA). The QA task put forth by the Text REtrieval Conferences (TREC) offer an opportunity to determine whether semantic predications can yieled relevant information given complex information needs.
Swanson's Discoveries
Now 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).
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
