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EpiphaNet: An Interactive Tool to Support Biomedical Discoveries
Background. EpiphaNet (http://epiphanet.uth.tmc.edu) is an interactive knowledge discovery system, which enables researchers to explore visually sets of relations extracted from MEDLINE using a combination of language processing techniques. In this paper, we discuss the theoretical and methodologica...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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University of Illinois at Chicago Library
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990276/ https://www.ncbi.nlm.nih.gov/pubmed/20859853 |
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author | Cohen, Trevor Whitfield, G. Kerr Schvaneveldt, Roger W Mukund, Kavitha Rindflesch, Thomas |
author_facet | Cohen, Trevor Whitfield, G. Kerr Schvaneveldt, Roger W Mukund, Kavitha Rindflesch, Thomas |
author_sort | Cohen, Trevor |
collection | PubMed |
description | Background. EpiphaNet (http://epiphanet.uth.tmc.edu) is an interactive knowledge discovery system, which enables researchers to explore visually sets of relations extracted from MEDLINE using a combination of language processing techniques. In this paper, we discuss the theoretical and methodological foundations of the system, and evaluate the utility of the models that underlie it for literature-based discovery. In addition, we present a summary of results drawn from a qualitative analysis of over six hours of interaction with the system by basic medical scientists. Results: The system is able to simulate open and closed discovery, and is shown to generate associations that are both surprising and interesting within the area of expertise of the researchers concerned. Conclusions: EpiphaNet provides an interactive visual representation of associations between concepts, which is derived from distributional statistics drawn from across the spectrum of biomedical citations in MEDLINE. This tool is available online, providing biomedical scientists with the opportunity to identify and explore associations of interest to them. |
format | Text |
id | pubmed-2990276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | University of Illinois at Chicago Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-29902762010-11-29 EpiphaNet: An Interactive Tool to Support Biomedical Discoveries Cohen, Trevor Whitfield, G. Kerr Schvaneveldt, Roger W Mukund, Kavitha Rindflesch, Thomas J Biomed Discov Collab Research Background. EpiphaNet (http://epiphanet.uth.tmc.edu) is an interactive knowledge discovery system, which enables researchers to explore visually sets of relations extracted from MEDLINE using a combination of language processing techniques. In this paper, we discuss the theoretical and methodological foundations of the system, and evaluate the utility of the models that underlie it for literature-based discovery. In addition, we present a summary of results drawn from a qualitative analysis of over six hours of interaction with the system by basic medical scientists. Results: The system is able to simulate open and closed discovery, and is shown to generate associations that are both surprising and interesting within the area of expertise of the researchers concerned. Conclusions: EpiphaNet provides an interactive visual representation of associations between concepts, which is derived from distributional statistics drawn from across the spectrum of biomedical citations in MEDLINE. This tool is available online, providing biomedical scientists with the opportunity to identify and explore associations of interest to them. University of Illinois at Chicago Library 2010-09-23 /pmc/articles/PMC2990276/ /pubmed/20859853 Text en http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Cohen, Trevor Whitfield, G. Kerr Schvaneveldt, Roger W Mukund, Kavitha Rindflesch, Thomas EpiphaNet: An Interactive Tool to Support Biomedical Discoveries |
title | EpiphaNet: An Interactive Tool to Support Biomedical Discoveries |
title_full | EpiphaNet: An Interactive Tool to Support Biomedical Discoveries |
title_fullStr | EpiphaNet: An Interactive Tool to Support Biomedical Discoveries |
title_full_unstemmed | EpiphaNet: An Interactive Tool to Support Biomedical Discoveries |
title_short | EpiphaNet: An Interactive Tool to Support Biomedical Discoveries |
title_sort | epiphanet: an interactive tool to support biomedical discoveries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990276/ https://www.ncbi.nlm.nih.gov/pubmed/20859853 |
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