TY - JOUR
T1 - Research-IQ
T2 - Development and evaluation of an ontology-anchored integrative query tool
AU - Borlawsky, Tara B.
AU - Lele, Omkar
AU - Payne, Philip R.O.
N1 - Funding Information:
The authors acknowledge the contributions made to this work by Drs. Peter Embi, Rebecca Jackson and Thomas Best. This publication was supported in part by an Institutional Clinical and Translational Science Award, NIH/NCRR Grant Number UL1-RR025755.
PY - 2011/12
Y1 - 2011/12
N2 - 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.
AB - 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.
KW - Clinical and translational research
KW - Information retrieval
KW - Knowledge discovery
KW - Semantic web
UR - http://www.scopus.com/inward/record.url?scp=83955161743&partnerID=8YFLogxK
U2 - 10.1016/j.jbi.2011.07.006
DO - 10.1016/j.jbi.2011.07.006
M3 - Article
C2 - 21821150
AN - SCOPUS:83955161743
SN - 1532-0464
VL - 44
SP - S56-S62
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
IS - SUPPL. 1
ER -