REMatch: Research Expert Matching System

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538691946
DOIs
StatePublished - Nov 13 2018
Event2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018 - Konstanz, Germany
Duration: Oct 17 2018Oct 19 2018

Other

Other2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018
CountryGermany
CityKonstanz
Period10/17/1810/19/18

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ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems and Management
  • Media Technology

Cite this

Hossain, M. I., Kobourov, S. G., Purchase, H., & Surdeanu, M. (2018). REMatch: Research Expert Matching System. In 2018 International Symposium on Big Data Visual and Immersive Analytics, BDVA 2018 [8534021] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BDVA.2018.8534021