Hypothesis Updating by Combining Knowledge Graphs and Argumentation

Giacomo Zamprogno; Ilaria Tiddi; Bart Verheij

doi:10.3233/FAIA240219

Hypothesis Updating by Combining Knowledge Graphs and Argumentation

Giacomo Zamprogno^*, Ilaria Tiddi, Bart Verheij

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This project explores the applicability of computational argumentation and knowledge graph methods for the validation and updating of scientific hypotheses. Starting from a game setting example, we suggest that such framework could be extended to the scientific discovery domain as a long-term plan.

Original language	English
Title of host publication	HHAI 2024: Hybrid Human AI Systems for the Social Good
Subtitle of host publication	Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence
Editors	Fabian Lorig, Jason Tucker, Adam Dahlgren Lindstrom, Frank Dignum, Pradeep Murukannaiah, Andreas Theodorou, Pinar Yolum
Publisher	IOS Press BV
Pages	441-448
Number of pages	8
ISBN (Electronic)	9781643685229
DOIs	https://doi.org/10.3233/FAIA240219
Publication status	Published - 2024
Event	3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024 - Hybrid, Malmo, Sweden Duration: 10 Jun 2024 → 14 Jun 2024

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	386
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024
Country/Territory	Sweden
City	Hybrid, Malmo
Period	10/06/24 → 14/06/24

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

Computational Argumentation
Hypothesis Evolution
Hypothesis Representation
Scientific Knowledge Graphs

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10.3233/FAIA240219Licence: CC BY-NC

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Zamprogno, G., Tiddi, I., & Verheij, B. (2024). Hypothesis Updating by Combining Knowledge Graphs and Argumentation. In F. Lorig, J. Tucker, A. D. Lindstrom, F. Dignum, P. Murukannaiah, A. Theodorou, & P. Yolum (Eds.), HHAI 2024: Hybrid Human AI Systems for the Social Good: Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence (pp. 441-448). (Frontiers in Artificial Intelligence and Applications; Vol. 386). IOS Press BV. https://doi.org/10.3233/FAIA240219

Zamprogno, Giacomo ; Tiddi, Ilaria ; Verheij, Bart. / Hypothesis Updating by Combining Knowledge Graphs and Argumentation. HHAI 2024: Hybrid Human AI Systems for the Social Good: Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence. editor / Fabian Lorig ; Jason Tucker ; Adam Dahlgren Lindstrom ; Frank Dignum ; Pradeep Murukannaiah ; Andreas Theodorou ; Pinar Yolum. IOS Press BV, 2024. pp. 441-448 (Frontiers in Artificial Intelligence and Applications).

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title = "Hypothesis Updating by Combining Knowledge Graphs and Argumentation",

abstract = "This project explores the applicability of computational argumentation and knowledge graph methods for the validation and updating of scientific hypotheses. Starting from a game setting example, we suggest that such framework could be extended to the scientific discovery domain as a long-term plan.",

keywords = "Computational Argumentation, Hypothesis Evolution, Hypothesis Representation, Scientific Knowledge Graphs",

author = "Giacomo Zamprogno and Ilaria Tiddi and Bart Verheij",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024 ; Conference date: 10-06-2024 Through 14-06-2024",

year = "2024",

doi = "10.3233/FAIA240219",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press BV",

pages = "441--448",

editor = "Fabian Lorig and Jason Tucker and Lindstrom, \{Adam Dahlgren\} and Frank Dignum and Pradeep Murukannaiah and Andreas Theodorou and Pinar Yolum",

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}

Zamprogno, G , Tiddi, I & Verheij, B 2024, Hypothesis Updating by Combining Knowledge Graphs and Argumentation. in F Lorig, J Tucker, AD Lindstrom, F Dignum, P Murukannaiah, A Theodorou & P Yolum (eds), HHAI 2024: Hybrid Human AI Systems for the Social Good: Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence. Frontiers in Artificial Intelligence and Applications, vol. 386, IOS Press BV, pp. 441-448, 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024, Hybrid, Malmo, Sweden, 10/06/24. https://doi.org/10.3233/FAIA240219

Hypothesis Updating by Combining Knowledge Graphs and Argumentation. / Zamprogno, Giacomo ; Tiddi, Ilaria; Verheij, Bart.
HHAI 2024: Hybrid Human AI Systems for the Social Good: Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence. ed. / Fabian Lorig; Jason Tucker; Adam Dahlgren Lindstrom; Frank Dignum; Pradeep Murukannaiah; Andreas Theodorou; Pinar Yolum. IOS Press BV, 2024. p. 441-448 (Frontiers in Artificial Intelligence and Applications; Vol. 386).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Hypothesis Updating by Combining Knowledge Graphs and Argumentation

AU - Zamprogno, Giacomo

AU - Tiddi, Ilaria

AU - Verheij, Bart

PY - 2024

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N2 - This project explores the applicability of computational argumentation and knowledge graph methods for the validation and updating of scientific hypotheses. Starting from a game setting example, we suggest that such framework could be extended to the scientific discovery domain as a long-term plan.

AB - This project explores the applicability of computational argumentation and knowledge graph methods for the validation and updating of scientific hypotheses. Starting from a game setting example, we suggest that such framework could be extended to the scientific discovery domain as a long-term plan.

KW - Computational Argumentation

KW - Hypothesis Evolution

KW - Hypothesis Representation

KW - Scientific Knowledge Graphs

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DO - 10.3233/FAIA240219

M3 - Conference contribution

AN - SCOPUS:85198698221

T3 - Frontiers in Artificial Intelligence and Applications

SP - 441

EP - 448

BT - HHAI 2024: Hybrid Human AI Systems for the Social Good

A2 - Lorig, Fabian

A2 - Tucker, Jason

A2 - Lindstrom, Adam Dahlgren

A2 - Dignum, Frank

A2 - Murukannaiah, Pradeep

A2 - Theodorou, Andreas

A2 - Yolum, Pinar

PB - IOS Press BV

T2 - 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024

Y2 - 10 June 2024 through 14 June 2024

ER -

Zamprogno G , Tiddi I, Verheij B. Hypothesis Updating by Combining Knowledge Graphs and Argumentation. In Lorig F, Tucker J, Lindstrom AD, Dignum F, Murukannaiah P, Theodorou A, Yolum P, editors, HHAI 2024: Hybrid Human AI Systems for the Social Good: Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence. IOS Press BV. 2024. p. 441-448. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA240219

Hypothesis Updating by Combining Knowledge Graphs and Argumentation

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