@inproceedings{c0cae454a7304964b4f036fc52da4e3a,
title = "A Metadata based Knowledge Discovery Methodology for Seeding Translational Research",
abstract = "In this paper, we present a semantic, metadata based knowledge discovery methodology for identifying teams of researchers from diverse backgrounds who can collaborate on interdisciplinary research projects: projects in areas that have been identified as high-impact areas at The Ohio State University. This methodology involves the semantic annotation of keywords and the postulation of semantic metrics to improve the efficiency of the path exploration algorithm as well as to rank the results. Results indicate that our methodology can discover groups of experts from diverse areas who can collaborate on translational research projects.",
keywords = "Knowledge Discovery, Semantics, Translational Research",
author = "Kothari, {Cartik R.} and Payne, {Philip R.O.}",
note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.3233/978-1-61499-564-7-1071",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1071",
editor = "Andrew Georgiou and Sarkar, {Indra Neil} and {de Azevedo Marques}, {Paulo Mazzoncini}",
booktitle = "MEDINFO 2015",
}