Research-IQ: Development and evaluation of an ontology-anchored integrative query tool

Authors:
Tara B. Borlawsky;Omkar Lele;Philip R. O. Payne
Affiliations:
The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA;The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA;The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA
Venue:
Journal of Biomedical Informatics
Year:
2011

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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.