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ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. /
Banerjee, Debayan; Yimam, Seid Muhie; Awale, Sushil et al.
Scientific Document Understanding 2023. ed. / Amir Pouran Ben Veyseh; Franck Dernoncourt; Thien Huu Nguyen; Viet Dack Lai. Aachen: Sun Site Central Europe (RWTH Aachen University), 2023. 4 (CEUR Workshop Proceedings; Vol. 3656).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Banerjee, D, Yimam, SM, Awale, S & Biemann, C 2023,
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. in APB Veyseh, F Dernoncourt, TH Nguyen & VD Lai (eds),
Scientific Document Understanding 2023., 4, CEUR Workshop Proceedings, vol. 3656, Sun Site Central Europe (RWTH Aachen University), Aachen, Workshop on Scientific Document Understanding - SDU 2023, Eugene, Oregon, United States,
14.02.23. <
https://ceur-ws.org/Vol-3656/paper4.pdf>
APA
Banerjee, D., Yimam, S. M., Awale, S., & Biemann, C. (2023).
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. In A. P. B. Veyseh, F. Dernoncourt, T. H. Nguyen, & V. D. Lai (Eds.),
Scientific Document Understanding 2023 Article 4 (CEUR Workshop Proceedings; Vol. 3656). Sun Site Central Europe (RWTH Aachen University).
https://ceur-ws.org/Vol-3656/paper4.pdf
Vancouver
Banerjee D, Yimam SM, Awale S, Biemann C.
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. In Veyseh APB, Dernoncourt F, Nguyen TH, Lai VD, editors, Scientific Document Understanding 2023. Aachen: Sun Site Central Europe (RWTH Aachen University). 2023. 4. (CEUR Workshop Proceedings).
Bibtex
@inbook{e4b613e95e844c2fae9663ec830b5456,
title = "ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System",
abstract = "In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, ARDIAS aims to recommend potential collaborators and topics to researchers. In the near future, we aim to add tools that allow researchers to communicate with each other and start new projects.",
keywords = "research recommendations, scholarly community, scholarly data, Informatics",
author = "Debayan Banerjee and Yimam, {Seid Muhie} and Sushil Awale and Chris Biemann",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors.; Workshop on Scientific Document Understanding - SDU 2023, SDU 2023 ; Conference date: 14-02-2023",
year = "2023",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "Sun Site Central Europe (RWTH Aachen University)",
editor = "Veyseh, {Amir Pouran Ben} and { Dernoncourt}, Franck and Nguyen, {Thien Huu} and Lai, {Viet Dack}",
booktitle = "Scientific Document Understanding 2023",
address = "Germany",
}
RIS
TY - CHAP
T1 - ARDIAS
T2 - Workshop on Scientific Document Understanding - SDU 2023
AU - Banerjee, Debayan
AU - Yimam, Seid Muhie
AU - Awale, Sushil
AU - Biemann, Chris
N1 - Publisher Copyright:
© 2023 Copyright for this paper by its authors.
PY - 2023
Y1 - 2023
N2 - In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, ARDIAS aims to recommend potential collaborators and topics to researchers. In the near future, we aim to add tools that allow researchers to communicate with each other and start new projects.
AB - In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, ARDIAS aims to recommend potential collaborators and topics to researchers. In the near future, we aim to add tools that allow researchers to communicate with each other and start new projects.
KW - research recommendations
KW - scholarly community
KW - scholarly data
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=85189133010&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85189133010
T3 - CEUR Workshop Proceedings
BT - Scientific Document Understanding 2023
A2 - Veyseh, Amir Pouran Ben
A2 - Dernoncourt, Franck
A2 - Nguyen, Thien Huu
A2 - Lai, Viet Dack
PB - Sun Site Central Europe (RWTH Aachen University)
CY - Aachen
Y2 - 14 February 2023
ER -
