Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10356123 | Journal of Biomedical Informatics | 2011 | 7 Pages |
Abstract
Investigators in the translational research and systems medicine domains require highly usable, efficient and integrative tools and methods that allow for the navigation of and reasoning over emerging large-scale data sets. Such resources must cover a spectrum of granularity from bio-molecules to population phenotypes. Given such information needs, we report upon the initial design and evaluation of an ontology-anchored integrative query tool, Research-IQ, which employs a combination of conceptual knowledge engineering and information retrieval techniques to enable the intuitive and rapid construction of queries, in terms of semi-structured textual propositions, that can subsequently be applied to integrative data sets. Our initial results, based upon both quantitative and qualitative evaluations of the efficacy and usability of Research-IQ, demonstrate its potential to increase clinical and translational research throughput.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Tara B. Borlawsky, Omkar Lele, Philip R.O. Payne,