Academic graph: a literature review system
Academic graph: a literature review system
As the number of academic publications increase, preparing a literature review becomes more challenging. This paper introduces an automated literature review support system to ease the literature review process for academia with reference graphs, abstract and full document summaries, paper clusters by keywords, abstracts, and abstract summaries combined. The output of the proposed system may ease exploring the state-of-the-art research.
5886 - 5891
Cataltas, Mustafa
441ca503-2bb3-4f1d-8523-af06e07460fc
Yumusak, Semih
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Oztoprak, Kasim
787fc90b-50e6-44b8-a64d-8c388c72e678
26 December 2022
Cataltas, Mustafa
441ca503-2bb3-4f1d-8523-af06e07460fc
Yumusak, Semih
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Oztoprak, Kasim
787fc90b-50e6-44b8-a64d-8c388c72e678
Cataltas, Mustafa, Yumusak, Semih and Oztoprak, Kasim
(2022)
Academic graph: a literature review system.
In Proceedings of the 2022 IEEE International Conference on Big Data (Big Data).
IEEE.
.
(doi:10.1109/BigData55660.2022.10020376).
Record type:
Conference or Workshop Item
(Paper)
Abstract
As the number of academic publications increase, preparing a literature review becomes more challenging. This paper introduces an automated literature review support system to ease the literature review process for academia with reference graphs, abstract and full document summaries, paper clusters by keywords, abstracts, and abstract summaries combined. The output of the proposed system may ease exploring the state-of-the-art research.
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Published date: 26 December 2022
Venue - Dates:
2022 IEEE International Conference on Big Data (Big Data), , Osaka, Japan, 2022-12-17 - 2022-12-20
Identifiers
Local EPrints ID: 478306
URI: http://eprints.soton.ac.uk/id/eprint/478306
PURE UUID: a97bad0c-b669-4a41-94a2-45207447404e
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Date deposited: 27 Jun 2023 17:26
Last modified: 17 Mar 2024 02:35
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Contributors
Author:
Mustafa Cataltas
Author:
Semih Yumusak
Author:
Kasim Oztoprak
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