REMatch: research expert matching system

Md Iqbal Hossain; Stephen Kobourov; Helen Purchase; Mihai Surdeanu

doi:10.1109/BDVA.2018.8534021

REMatch: research expert matching system

Md Iqbal Hossain, Stephen Kobourov, Helen Purchase, Mihai Surdeanu

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)
Editors	Ulrich Engelke
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	109-118
Number of pages	10
ISBN (Electronic)	9781538691946
ISBN (Print)	9781538691953
DOIs	https://doi.org/10.1109/BDVA.2018.8534021
Publication status	Published - 2018
Externally published	Yes
Event	International Symposium on Big Data Visual and Immersive Analytics 2018 - Konstanz, Germany Duration: 17 Oct 2018 → 19 Oct 2018 Conference number: 4th http://bdva.net/2018/

Conference

Conference	International Symposium on Big Data Visual and Immersive Analytics 2018
Abbreviated title	BDVA 2018
Country/Territory	Germany
City	Konstanz
Period	17/10/18 → 19/10/18
Internet address	http://bdva.net/2018/

Access to Document

10.1109/BDVA.2018.8534021

Cite this

@inproceedings{867580b511774a7b88ec2902e44f9d9e,

title = "REMatch: research expert matching system",

abstract = "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.",

author = "Hossain, {Md Iqbal} and Stephen Kobourov and Helen Purchase and Mihai Surdeanu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; International Symposium on Big Data Visual and Immersive Analytics 2018, BDVA 2018 ; Conference date: 17-10-2018 Through 19-10-2018",

year = "2018",

doi = "10.1109/BDVA.2018.8534021",

language = "English",

isbn = "9781538691953",

pages = "109--118",

editor = "Ulrich Engelke",

booktitle = "2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "http://bdva.net/2018/",

}

Hossain, MI, Kobourov, S, Purchase, H & Surdeanu, M 2018, REMatch: research expert matching system. in U Engelke (ed.), 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 109-118, International Symposium on Big Data Visual and Immersive Analytics 2018, Konstanz, Baden-Württemberg, Germany, 17/10/18. https://doi.org/10.1109/BDVA.2018.8534021

REMatch: research expert matching system. / Hossain, Md Iqbal; Kobourov, Stephen; Purchase, Helen et al.
2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA). ed. / Ulrich Engelke. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 109-118.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - REMatch

T2 - International Symposium on Big Data Visual and Immersive Analytics 2018

AU - Hossain, Md Iqbal

AU - Kobourov, Stephen

AU - Purchase, Helen

AU - Surdeanu, Mihai

N1 - Conference code: 4th

PY - 2018

Y1 - 2018

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.

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U2 - 10.1109/BDVA.2018.8534021

DO - 10.1109/BDVA.2018.8534021

M3 - Conference Paper

AN - SCOPUS:85059123303

SN - 9781538691953

SP - 109

EP - 118

BT - 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)

A2 - Engelke, Ulrich

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

Y2 - 17 October 2018 through 19 October 2018

ER -

REMatch: research expert matching system

Abstract

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