@inproceedings{3077313bed4a4f5b84807b58b0d7a6c2,
title = "RCES: Rapid Cues Exploratory Search Using Taxonomies for COVID-19",
abstract = "To assist the COVID-19 focused researchers in life science and healthcare in understanding the pandemic, we present an exploratory information retrieval system called RCES. The system employs a previously developed EVE (Explainable Vector-based Embedding) model using DBpedia and an adopted model using MeSH taxonomies to exploit concept relations related to COVID-19. Various expansion methods are also developed, along with explanations and facets that collectively form rapid cues for a valuable navigational and informed user experience.",
keywords = "covid-19, explanations, exploratory search, facets, query expansion, rapid cues",
author = "Wei Li and Rishi Choudhary and Arjumand Younus and Bruno Ohana and Nicole Baker and Brendan Leen and \{Atif Qureshi\}, M.",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 30th ACM International Conference on Information and Knowledge Management, CIKM 2021 ; Conference date: 01-11-2021 Through 05-11-2021",
year = "2021",
month = oct,
day = "26",
doi = "10.1145/3459637.3481990",
language = "English",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "4739--4743",
booktitle = "CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management",
address = "United States",
}