research-article

SciNoBo: A Hierarchical Multi-Label Classifier of Scientific Publications

Authors:

Nikolaos Gialitsis,

Sotiris Kotitsas,

Haris PapageorgiouAuthors Info & Claims

WWW '22: Companion Proceedings of the Web Conference 2022

Pages 800 - 809

https://doi.org/10.1145/3487553.3524677

Published: 16 August 2022 Publication History

Abstract

Classifying scientific publications according to Field-of-Science (FoS) taxonomies is of crucial importance, allowing funders, publishers, scholars, companies and other stakeholders to organize scientific literature more effectively. Most existing works address classification either at venue level or solely based on the textual content of a research publication. We present SciNoBo, a novel classification system of publications to predefined FoS taxonomies, leveraging the structural properties of a publication and its citations and references organized in a multilayer network. In contrast to other works, our system supports assignments of publications to multiple fields by considering their multidisciplinarity potential. By unifying publications and venues under a common multilayer network structure made up of citing and publishing relationships, classifications at the venue-level can be augmented with publication-level classifications. We evaluate SciNoBo on a dataset of publications extracted from Microsoft Academic Graph, and we perform a comparative analysis against a state-of-the-art neural-network baseline. The results reveal that our proposed system is capable of producing high-quality classifications of publications.

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Cited By

Abu Ahmad RBorisova ERehm G(2024)FoRC@NSLP2024: Overview and Insights from the Field of Research Classification Shared TaskNatural Scientific Language Processing and Research Knowledge Graphs10.1007/978-3-031-65794-8_12(189-204)Online publication date: 15-Aug-2024
https://doi.org/10.1007/978-3-031-65794-8_12
Kotitsas SPappas DManola NPapageorgiou H(2023)SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomyFrontiers in Research Metrics and Analytics10.3389/frma.2023.11498348Online publication date: 4-May-2023
https://doi.org/10.3389/frma.2023.1149834
Bueno de la Fuente GAgustín-Lacruz CFujita MTerra A(2023)Knowledge organisation in institutional repositories: a case study on policies and procedures manuals in the Ibero-American environmentThe Electronic Library10.1108/EL-05-2023-012841:6(770-786)Online publication date: 28-Jun-2023
https://doi.org/10.1108/EL-05-2023-0128

Index Terms

SciNoBo: A Hierarchical Multi-Label Classifier of Scientific Publications

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Published In

cover image ACM Conferences

WWW '22: Companion Proceedings of the Web Conference 2022

April 2022

1338 pages

ISBN:9781450391306

DOI:10.1145/3487553

Editors:
Frédérique Laforest
INSA Lyon, France
,
Raphaël Troncy
EURECOM, France
,
Lionel Médini
Université Lyon 1, France
,
Ivan Herman
W3C / retired

Copyright © 2022 ACM.

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Published: 16 August 2022

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Cited By

Abu Ahmad RBorisova ERehm G(2024)FoRC@NSLP2024: Overview and Insights from the Field of Research Classification Shared TaskNatural Scientific Language Processing and Research Knowledge Graphs10.1007/978-3-031-65794-8_12(189-204)Online publication date: 15-Aug-2024
https://doi.org/10.1007/978-3-031-65794-8_12
Kotitsas SPappas DManola NPapageorgiou H(2023)SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomyFrontiers in Research Metrics and Analytics10.3389/frma.2023.11498348Online publication date: 4-May-2023
https://doi.org/10.3389/frma.2023.1149834
Bueno de la Fuente GAgustín-Lacruz CFujita MTerra A(2023)Knowledge organisation in institutional repositories: a case study on policies and procedures manuals in the Ibero-American environmentThe Electronic Library10.1108/EL-05-2023-012841:6(770-786)Online publication date: 28-Jun-2023
https://doi.org/10.1108/EL-05-2023-0128

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