Obvio

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.

Overview

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)

Approach

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).

Publications

1. 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