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New trends in scientific knowledge graphs and research impact assessment

Published:2021 Issue:4 Volume:2 Page:1296-1300
ISSN:2641-3337
Container-title:Quantitative Science Studies
language:en
Short-container-title:

Author:

Manghi Paolo¹²^ORCID,Mannocci Andrea¹^ORCID,Osborne Francesco³^ORCID,Sacharidis Dimitris⁴^ORCID,Salatino Angelo³^ORCID,Vergoulis Thanasis⁵^ORCID

Affiliation:

1. CNR-ISTI – National Research Council, Institute of Information Science and Technologies “Alessandro Faedo”, Pisa, Italy

2. OpenAIRE AMKE, Greece

3. Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom

4. Université Libre de Bruxelles, Belgium

5. “Athena” RC, Greece

Publisher

MIT Press - Journals

Subject

Aerospace Engineering

Link

https://direct.mit.edu/qss/article-pdf/2/4/1296/1986176/qss_e_00160.pdf

Reference25 articles.

1. Construction of the literature graph in semantic scholar;Ammar,2018

2. AIDA: A knowledge graph about research dynamics in academia and industry;Angioni;Quantitative Science Studies,2021

3. Open science graphs must interoperate!;Aryani,2020

4. Towards an open research knowledge graph;Auer;Zenodo,2018

5. Data citation and the citation graph;Buneman;Quantitative Science Studies,2021

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2. Syntax-based argument correlation-enhanced end-to-end model for scientific relation extraction;Neurocomputing;2024-06

3. Construction of personalized recommendation model for educational video game resources based on knowledge graph;Entertainment Computing;2024-05

4. Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

5. DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization;Proceedings of the Association for Information Science and Technology;2023-10

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