TY - GEN
T1 - REMatch
T2 - 2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018
AU - Hossain, Md Iqbal
AU - Kobourov, Stephen
AU - Purchase, Helen
AU - Surdeanu, Mihai
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - We describe a system designed to process, analyze and visualize academic data, from research papers and research proposals to list of courses taught, consulting, internal and external service. This can be helpful in identifying experts in a given field for future collaborations, as well as in putting together strong multi-disciplinary teams to apply for future research funding. Our REMatch system aims to support such tasks by leveraging natural language processing, machine learning, and interactive visualization. Specifically, REMatch provides a functional system that implements in-the-browser, map-based interactive navigation of a large underlying network, supporting semantic zooming, panning, searching, and map overlays. A prototype of the system is evaluated with a small-scale case study.
AB - We describe a system designed to process, analyze and visualize academic data, from research papers and research proposals to list of courses taught, consulting, internal and external service. This can be helpful in identifying experts in a given field for future collaborations, as well as in putting together strong multi-disciplinary teams to apply for future research funding. Our REMatch system aims to support such tasks by leveraging natural language processing, machine learning, and interactive visualization. Specifically, REMatch provides a functional system that implements in-the-browser, map-based interactive navigation of a large underlying network, supporting semantic zooming, panning, searching, and map overlays. A prototype of the system is evaluated with a small-scale case study.
UR - http://www.scopus.com/inward/record.url?scp=85059123303&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059123303&partnerID=8YFLogxK
U2 - 10.1109/BDVA.2018.8534021
DO - 10.1109/BDVA.2018.8534021
M3 - Conference contribution
AN - SCOPUS:85059123303
T3 - 2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018
BT - 2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 October 2018 through 19 October 2018
ER -