---
_id: '59226'
author:
- first_name: Bardo
full_name: Herzig, Bardo
id: '217'
last_name: Herzig
citation:
ama: Herzig B. Künstliche Intelligenz und professionsbezogene Aufgaben von Lehrkräften.
SchulVerwaltung NRW. 2025;(1/25):18-20.
apa: Herzig, B. (2025). Künstliche Intelligenz und professionsbezogene Aufgaben
von Lehrkräften. SchulVerwaltung NRW, 1/25, 18–20.
bibtex: '@article{Herzig_2025, title={Künstliche Intelligenz und professionsbezogene
Aufgaben von Lehrkräften}, number={1/25}, journal={SchulVerwaltung NRW}, publisher={Carl
Link}, author={Herzig, Bardo}, year={2025}, pages={18–20} }'
chicago: 'Herzig, Bardo. “Künstliche Intelligenz und professionsbezogene Aufgaben
von Lehrkräften.” SchulVerwaltung NRW, no. 1/25 (2025): 18–20.'
ieee: B. Herzig, “Künstliche Intelligenz und professionsbezogene Aufgaben von Lehrkräften,”
SchulVerwaltung NRW, no. 1/25, pp. 18–20, 2025.
mla: Herzig, Bardo. “Künstliche Intelligenz und professionsbezogene Aufgaben von
Lehrkräften.” SchulVerwaltung NRW, no. 1/25, Carl Link, 2025, pp. 18–20.
short: B. Herzig, SchulVerwaltung NRW (2025) 18–20.
date_created: 2025-04-01T08:04:29Z
date_updated: 2025-09-11T08:20:01Z
department:
- _id: '459'
issue: 1/25
language:
- iso: ger
page: 18-20
publication: SchulVerwaltung NRW
publication_identifier:
issn:
- 0937-7239
publication_status: published
publisher: Carl Link
status: public
title: Künstliche Intelligenz und professionsbezogene Aufgaben von Lehrkräften
type: journal_article
user_id: '66956'
year: '2025'
...
---
_id: '60949'
author:
- first_name: Henning
full_name: Giese, Henning
id: '92812'
last_name: Giese
- first_name: Svea
full_name: Holtmann, Svea
last_name: Holtmann
- first_name: Reinald
full_name: Koch, Reinald
last_name: Koch
- first_name: Dominika
full_name: Langenmayr, Dominika
last_name: Langenmayr
citation:
ama: 'Giese H, Holtmann S, Koch R, Langenmayr D. Steuerliches Investitionssofortprogramm:
Ausreichender Schritt zur Stärkung des Wirtschaftsstandorts Deutschland? ifo
Schnelldienst. 2025;78(8):34-40.'
apa: 'Giese, H., Holtmann, S., Koch, R., & Langenmayr, D. (2025). Steuerliches
Investitionssofortprogramm: Ausreichender Schritt zur Stärkung des Wirtschaftsstandorts
Deutschland? ifo Schnelldienst, 78(8), 34–40.'
bibtex: '@article{Giese_Holtmann_Koch_Langenmayr_2025, title={Steuerliches Investitionssofortprogramm:
Ausreichender Schritt zur Stärkung des Wirtschaftsstandorts Deutschland?}, volume={78},
number={8}, journal={ifo Schnelldienst}, author={Giese, Henning and Holtmann,
Svea and Koch, Reinald and Langenmayr, Dominika}, year={2025}, pages={34–40} }'
chicago: 'Giese, Henning, Svea Holtmann, Reinald Koch, and Dominika Langenmayr.
“Steuerliches Investitionssofortprogramm: Ausreichender Schritt zur Stärkung des
Wirtschaftsstandorts Deutschland?” ifo Schnelldienst 78, no. 8 (2025):
34–40.'
ieee: 'H. Giese, S. Holtmann, R. Koch, and D. Langenmayr, “Steuerliches Investitionssofortprogramm:
Ausreichender Schritt zur Stärkung des Wirtschaftsstandorts Deutschland?,” ifo
Schnelldienst, vol. 78, no. 8, pp. 34–40, 2025.'
mla: 'Giese, Henning, et al. “Steuerliches Investitionssofortprogramm: Ausreichender
Schritt zur Stärkung des Wirtschaftsstandorts Deutschland?” ifo Schnelldienst,
vol. 78, no. 8, 2025, pp. 34–40.'
short: H. Giese, S. Holtmann, R. Koch, D. Langenmayr, ifo Schnelldienst 78 (2025)
34–40.
date_created: 2025-08-19T10:16:55Z
date_updated: 2025-09-11T08:11:07Z
department:
- _id: '187'
intvolume: ' 78'
issue: '8'
language:
- iso: ger
page: 34-40
publication: ifo Schnelldienst
quality_controlled: '1'
status: public
title: 'Steuerliches Investitionssofortprogramm: Ausreichender Schritt zur Stärkung
des Wirtschaftsstandorts Deutschland?'
type: journal_article
user_id: '97894'
volume: 78
year: '2025'
...
---
_id: '61190'
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: 'Maximilian '
full_name: 'Muschalik, Maximilian '
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: 'Eyke '
full_name: 'Hüllermeier, Eyke '
last_name: Hüllermeier
- first_name: Debanjan
full_name: Ghosh, Debanjan
last_name: Ghosh
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Sengupta M, Muschalik M, Fumagalli F, et al. Investigating the Impact of Conceptual
Metaphors on LLM-based NLI through Shapley Interactions. In: Accepted in Findings
. EMNLP ; 2025.'
apa: Sengupta, M., Muschalik, M., Fumagalli, F., Hammer, B., Hüllermeier, E., Ghosh,
D., & Wachsmuth, H. (2025). Investigating the Impact of Conceptual Metaphors
on LLM-based NLI through Shapley Interactions. Accepted in Findings . Empirical
Methods in Natural Language Processing (EMNLP 2025).
bibtex: '@inproceedings{Sengupta_Muschalik_Fumagalli_Hammer_Hüllermeier_Ghosh_Wachsmuth_2025,
title={Investigating the Impact of Conceptual Metaphors on LLM-based NLI through
Shapley Interactions}, booktitle={Accepted in Findings }, publisher={EMNLP },
author={Sengupta, Meghdut and Muschalik, Maximilian and Fumagalli, Fabian and
Hammer, Barbara and Hüllermeier, Eyke and Ghosh, Debanjan and Wachsmuth, Henning},
year={2025} }'
chicago: Sengupta, Meghdut, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer,
Eyke Hüllermeier, Debanjan Ghosh, and Henning Wachsmuth. “Investigating the Impact
of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” In Accepted
in Findings . EMNLP , 2025.
ieee: M. Sengupta et al., “Investigating the Impact of Conceptual Metaphors
on LLM-based NLI through Shapley Interactions,” presented at the Empirical Methods
in Natural Language Processing (EMNLP 2025), 2025.
mla: Sengupta, Meghdut, et al. “Investigating the Impact of Conceptual Metaphors
on LLM-Based NLI through Shapley Interactions.” Accepted in Findings ,
EMNLP , 2025.
short: 'M. Sengupta, M. Muschalik, F. Fumagalli, B. Hammer, E. Hüllermeier, D. Ghosh,
H. Wachsmuth, in: Accepted in Findings , EMNLP , 2025.'
conference:
end_date: 2025-11-09
name: Empirical Methods in Natural Language Processing (EMNLP 2025)
start_date: 2025-11-04
date_created: 2025-09-11T09:27:10Z
date_updated: 2025-09-11T09:28:23Z
ddc:
- '000'
extern: '1'
file:
- access_level: closed
content_type: application/pdf
creator: meghdut
date_created: 2025-09-11T09:26:18Z
date_updated: 2025-09-11T09:26:18Z
file_id: '61194'
file_name: sengupta25-emnlp.pdf
file_size: 2189153
relation: main_file
success: 1
file_date_updated: 2025-09-11T09:26:18Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '127'
name: 'TRR 318; TP C04: Metaphern als Werkzeug des Erklärens'
publication: 'Accepted in Findings '
publisher: 'EMNLP '
status: public
title: Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley
Interactions
type: conference
user_id: '99459'
year: '2025'
...
---
_id: '61123'
abstract:
- lang: eng
text: Knowledge graphs are used by a growing number of applications to represent
structured data. Hence, evaluating the veracity of assertions in knowledge graphs—dubbed
fact checking—is currently a challenge of growing importance. However, manual
fact checking is commonly impractical due to the sheer size of knowledge graphs.
This paper is a systematic survey of recent works on automatic fact checking with
a focus on knowledge graphs. We present recent fact-checking approaches, the varied
sources they use as background knowledge, and the features they rely upon. Finally,
we draw conclusions pertaining to possible future research directions in fact
checking knowledge graphs.
article_number: '3749838'
article_type: original
author:
- first_name: Umair
full_name: Qudus, Umair
id: '83392'
last_name: Qudus
orcid: 0000-0001-6714-8729
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. Fact Checking Knowledge Graphs
-- A Survey. ACM Computing Surveys. 2025;58. doi:10.1145/3749838
apa: Qudus, U., Röder, M., Saleem, M., & Ngonga Ngomo, A.-C. (2025). Fact Checking
Knowledge Graphs -- A Survey. ACM Computing Surveys, 58, Article
3749838. https://doi.org/10.1145/3749838
bibtex: '@article{Qudus_Röder_Saleem_Ngonga Ngomo_2025, title={Fact Checking Knowledge
Graphs -- A Survey}, volume={58}, DOI={10.1145/3749838},
number={3749838}, journal={ACM Computing Surveys}, publisher={Association for
Computing Machinery (ACM)}, author={Qudus, Umair and Röder, Michael and Saleem,
Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo.
“Fact Checking Knowledge Graphs -- A Survey.” ACM Computing Surveys 58
(2025). https://doi.org/10.1145/3749838.
ieee: 'U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “Fact Checking Knowledge
Graphs -- A Survey,” ACM Computing Surveys, vol. 58, Art. no. 3749838,
2025, doi: 10.1145/3749838.'
mla: Qudus, Umair, et al. “Fact Checking Knowledge Graphs -- A Survey.” ACM Computing
Surveys, vol. 58, 3749838, Association for Computing Machinery (ACM), 2025,
doi:10.1145/3749838.
short: U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, ACM Computing Surveys
58 (2025).
date_created: 2025-09-03T15:46:43Z
date_updated: 2025-09-11T09:30:28Z
ddc:
- '006'
department:
- _id: '574'
doi: 10.1145/3749838
external_id:
unknown:
- 10.1145/3749838
file:
- access_level: closed
content_type: application/pdf
creator: uqudus
date_created: 2025-09-11T09:26:29Z
date_updated: 2025-09-11T09:26:29Z
file_id: '61195'
file_name: 3749838.pdf
file_size: 1062387
relation: main_file
success: 1
file_date_updated: 2025-09-11T09:26:29Z
has_accepted_license: '1'
intvolume: ' 58'
keyword:
- fact checking
- knowledge graphs
- fact-checkers
- check worthiness
- evidence retrieval
- trust
- veracity.
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/pdf/10.1145/3749838
oa: '1'
popular_science: '1'
publication: ACM Computing Surveys
publication_identifier:
issn:
- 0360-0300
- 1557-7341
publication_status: published
publisher: Association for Computing Machinery (ACM)
quality_controlled: '1'
status: public
title: Fact Checking Knowledge Graphs -- A Survey
type: journal_article
user_id: '83392'
volume: 58
year: '2025'
...
---
_id: '59912'
abstract:
- lang: eng
text: "Abstract\r\n We study the
expressivity and the complexity of various logics in probabilistic team semantics
with the Boolean negation. In particular, we study the extension of probabilistic
independence logic with the Boolean negation, and a recently introduced logic
first-order theory of random variables with probabilistic independence. We give
several results that compare the expressivity of these logics with the most studied
logics in probabilistic team semantics setting, as well as relating their expressivity
to a numerical variant of second-order logic. In addition, we introduce novel
entropy atoms and show that the extension of first-order logic by entropy atoms
subsumes probabilistic independence logic. Finally, we obtain some results on
the complexity of model checking, validity and satisfiability of our logics."
author:
- first_name: Miika
full_name: Hannula, Miika
last_name: Hannula
- first_name: Minna
full_name: Hirvonen, Minna
last_name: Hirvonen
- first_name: Juha
full_name: Kontinen, Juha
last_name: Kontinen
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Arne
full_name: Meier, Arne
last_name: Meier
- first_name: Jonni
full_name: Virtema, Jonni
last_name: Virtema
citation:
ama: Hannula M, Hirvonen M, Kontinen J, Mahmood Y, Meier A, Virtema J. Logics with
probabilistic team semantics and the Boolean negation. Journal of Logic and
Computation. 2025;35(3). doi:10.1093/logcom/exaf021
apa: Hannula, M., Hirvonen, M., Kontinen, J., Mahmood, Y., Meier, A., & Virtema,
J. (2025). Logics with probabilistic team semantics and the Boolean negation.
Journal of Logic and Computation, 35(3). https://doi.org/10.1093/logcom/exaf021
bibtex: '@article{Hannula_Hirvonen_Kontinen_Mahmood_Meier_Virtema_2025, title={Logics
with probabilistic team semantics and the Boolean negation}, volume={35}, DOI={10.1093/logcom/exaf021}, number={3},
journal={Journal of Logic and Computation}, publisher={Oxford University Press
(OUP)}, author={Hannula, Miika and Hirvonen, Minna and Kontinen, Juha and Mahmood,
Yasir and Meier, Arne and Virtema, Jonni}, year={2025} }'
chicago: Hannula, Miika, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier,
and Jonni Virtema. “Logics with Probabilistic Team Semantics and the Boolean Negation.”
Journal of Logic and Computation 35, no. 3 (2025). https://doi.org/10.1093/logcom/exaf021.
ieee: 'M. Hannula, M. Hirvonen, J. Kontinen, Y. Mahmood, A. Meier, and J. Virtema,
“Logics with probabilistic team semantics and the Boolean negation,” Journal
of Logic and Computation, vol. 35, no. 3, 2025, doi: 10.1093/logcom/exaf021.'
mla: Hannula, Miika, et al. “Logics with Probabilistic Team Semantics and the Boolean
Negation.” Journal of Logic and Computation, vol. 35, no. 3, Oxford University
Press (OUP), 2025, doi:10.1093/logcom/exaf021.
short: M. Hannula, M. Hirvonen, J. Kontinen, Y. Mahmood, A. Meier, J. Virtema, Journal
of Logic and Computation 35 (2025).
date_created: 2025-05-15T11:07:28Z
date_updated: 2025-09-11T10:00:26Z
department:
- _id: '574'
doi: 10.1093/logcom/exaf021
intvolume: ' 35'
issue: '3'
language:
- iso: eng
project:
- _id: '121'
name: 'TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des
maschinellen Lernens'
publication: Journal of Logic and Computation
publication_identifier:
issn:
- 0955-792X
- 1465-363X
publication_status: published
publisher: Oxford University Press (OUP)
status: public
title: Logics with probabilistic team semantics and the Boolean negation
type: journal_article
user_id: '99353'
volume: 35
year: '2025'
...
---
_id: '59054'
author:
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Firmansyah AF, Zahera HMA, Sherif M, Moussallem D, Ngonga Ngomo A-C. ANTS:
Abstractive Entity Summarization in Knowledge Graphs. In: ESWC2025. The
Semantic Web. pringer Nature Switzerland; 2025:133--151. doi:10.1007/978-3-031-94575-5_8'
apa: 'Firmansyah, A. F., Zahera, H. M. A., Sherif, M., Moussallem, D., & Ngonga
Ngomo, A.-C. (2025). ANTS: Abstractive Entity Summarization in Knowledge Graphs.
ESWC2025, 133--151. https://doi.org/10.1007/978-3-031-94575-5_8'
bibtex: '@inproceedings{Firmansyah_Zahera_Sherif_Moussallem_Ngonga Ngomo_2025, series={The
Semantic Web}, title={ANTS: Abstractive Entity Summarization in Knowledge Graphs},
DOI={10.1007/978-3-031-94575-5_8},
booktitle={ESWC2025}, publisher={pringer Nature Switzerland}, author={Firmansyah,
Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Sherif, Mohamed and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={133--151}, collection={The
Semantic Web} }'
chicago: 'Firmansyah, Asep Fajar, Hamada Mohamed Abdelsamee Zahera, Mohamed Sherif,
Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “ANTS: Abstractive Entity Summarization
in Knowledge Graphs.” In ESWC2025, 133--151. The Semantic Web. pringer
Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_8.'
ieee: 'A. F. Firmansyah, H. M. A. Zahera, M. Sherif, D. Moussallem, and A.-C. Ngonga
Ngomo, “ANTS: Abstractive Entity Summarization in Knowledge Graphs,” in ESWC2025,
2025, pp. 133--151, doi: 10.1007/978-3-031-94575-5_8.'
mla: 'Firmansyah, Asep Fajar, et al. “ANTS: Abstractive Entity Summarization in
Knowledge Graphs.” ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151,
doi:10.1007/978-3-031-94575-5_8.'
short: 'A.F. Firmansyah, H.M.A. Zahera, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo,
in: ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151.'
conference:
name: ESWC 2025
date_created: 2025-03-17T13:41:48Z
date_updated: 2025-09-11T10:00:44Z
department:
- _id: '574'
doi: 10.1007/978-3-031-94575-5_8
keyword:
- firmansyah mousallem ngonga sherif zahera
language:
- iso: eng
page: 133--151
publication: ESWC2025
publication_identifier:
isbn:
- 978-3-031-94575-5
publication_status: published
publisher: pringer Nature Switzerland
series_title: The Semantic Web
status: public
title: 'ANTS: Abstractive Entity Summarization in Knowledge Graphs'
type: conference
user_id: '67234'
year: '2025'
...
---
_id: '61066'
abstract:
- lang: eng
text: "Argumentation is a central subarea of Artificial Intelligence (AI) for\r\nmodeling
and reasoning about arguments. The semantics of abstract argumentation\r\nframeworks
(AFs) is given by sets of arguments (extensions) and conditions on\r\nthe relationship
between them, such as stable or admissible. Today's solvers\r\nimplement tasks
such as finding extensions, deciding credulous or skeptical\r\nacceptance, counting,
or enumerating extensions. While these tasks are well\r\ncharted, the area between
decision, counting/enumeration and fine-grained\r\nreasoning requires expensive
reasoning so far. We introduce a novel concept\r\n(facets) for reasoning between
decision and enumeration. Facets are arguments\r\nthat belong to some extensions
(credulous) but not to all extensions\r\n(skeptical). They are most natural when
a user aims to navigate, filter, or\r\ncomprehend the significance of specific
arguments, according to their needs. We\r\nstudy the complexity and show that
tasks involving facets are much easier than\r\ncounting extensions. Finally, we
provide an implementation, and conduct\r\nexperiments to demonstrate feasibility."
author:
- first_name: Johannes
full_name: Fichte, Johannes
last_name: Fichte
- first_name: Nicolas
full_name: Fröhlich, Nicolas
last_name: Fröhlich
- first_name: Markus
full_name: Hecher, Markus
last_name: Hecher
- first_name: Victor
full_name: Lagerkvist, Victor
last_name: Lagerkvist
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Arne
full_name: Meier, Arne
last_name: Meier
- first_name: Jonathan
full_name: Persson, Jonathan
last_name: Persson
citation:
ama: 'Fichte J, Fröhlich N, Hecher M, et al. Facets in Argumentation: A Formal Approach
to Argument Significance. arXiv:250510982. Published online 2025.'
apa: 'Fichte, J., Fröhlich, N., Hecher, M., Lagerkvist, V., Mahmood, Y., Meier,
A., & Persson, J. (2025). Facets in Argumentation: A Formal Approach to Argument
Significance. In arXiv:2505.10982.'
bibtex: '@article{Fichte_Fröhlich_Hecher_Lagerkvist_Mahmood_Meier_Persson_2025,
title={Facets in Argumentation: A Formal Approach to Argument Significance}, journal={arXiv:2505.10982},
author={Fichte, Johannes and Fröhlich, Nicolas and Hecher, Markus and Lagerkvist,
Victor and Mahmood, Yasir and Meier, Arne and Persson, Jonathan}, year={2025}
}'
chicago: 'Fichte, Johannes, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist,
Yasir Mahmood, Arne Meier, and Jonathan Persson. “Facets in Argumentation: A Formal
Approach to Argument Significance.” ArXiv:2505.10982, 2025.'
ieee: 'J. Fichte et al., “Facets in Argumentation: A Formal Approach to Argument
Significance,” arXiv:2505.10982. 2025.'
mla: 'Fichte, Johannes, et al. “Facets in Argumentation: A Formal Approach to Argument
Significance.” ArXiv:2505.10982, 2025.'
short: J. Fichte, N. Fröhlich, M. Hecher, V. Lagerkvist, Y. Mahmood, A. Meier, J.
Persson, ArXiv:2505.10982 (2025).
date_created: 2025-08-29T08:07:43Z
date_updated: 2025-09-11T09:58:34Z
department:
- _id: '574'
external_id:
arxiv:
- '2505.10982'
language:
- iso: eng
project:
- _id: '121'
name: 'TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des
maschinellen Lernens'
publication: arXiv:2505.10982
status: public
title: 'Facets in Argumentation: A Formal Approach to Argument Significance'
type: preprint
user_id: '99353'
year: '2025'
...
---
_id: '61198'
article_number: '1146'
author:
- first_name: Tim
full_name: Rogge, Tim
last_name: Rogge
- first_name: Bardo
full_name: Herzig, Bardo
id: '217'
last_name: Herzig
citation:
ama: Rogge T, Herzig B. Enhancing Pre-Service Teachers’ Reflective Competence Through
Structured Video Annotation. education sciences. 2025;(15).
apa: Rogge, T., & Herzig, B. (2025). Enhancing Pre-Service Teachers’ Reflective
Competence Through Structured Video Annotation. Education Sciences, 15,
Article 1146.
bibtex: '@article{Rogge_Herzig_2025, title={Enhancing Pre-Service Teachers’ Reflective
Competence Through Structured Video Annotation}, number={151146}, journal={education
sciences}, publisher={MDPI}, author={Rogge, Tim and Herzig, Bardo}, year={2025}
}'
chicago: Rogge, Tim, and Bardo Herzig. “Enhancing Pre-Service Teachers’ Reflective
Competence Through Structured Video Annotation.” Education Sciences, no.
15 (2025).
ieee: T. Rogge and B. Herzig, “Enhancing Pre-Service Teachers’ Reflective Competence
Through Structured Video Annotation,” education sciences, no. 15, Art.
no. 1146, 2025.
mla: Rogge, Tim, and Bardo Herzig. “Enhancing Pre-Service Teachers’ Reflective Competence
Through Structured Video Annotation.” Education Sciences, no. 15, 1146,
MDPI, 2025.
short: T. Rogge, B. Herzig, Education Sciences (2025).
date_created: 2025-09-11T09:46:19Z
date_updated: 2025-09-11T09:59:23Z
department:
- _id: '459'
issue: '15'
language:
- iso: eng
publication: education sciences
publication_identifier:
unknown:
- https://www.mdpi.com/2227-7102/15/9/1146
publication_status: published
publisher: MDPI
status: public
title: Enhancing Pre-Service Teachers' Reflective Competence Through Structured Video
Annotation
type: journal_article
user_id: '66956'
year: '2025'
...
---
_id: '61150'
abstract:
- lang: eng
text: Since the emergence of the field of eXplainable Artificial Intelligence (XAI),
a growing number of researchers have argued that XAI should consider insights
from the social sciences in order to adapt explanations to the expectations and
needs of human users. This has led to the emergence of a field called Social XAI,
which is concerned with understanding how explanations are actively shaped in
the interaction between a human user and an AI system. Recognizing this turn in
XAI toward making XAI systems more “social” by providing explanations that focus
on human information needs and incorporating insights from human–human explanatory
interactions, in this paper we provide a formal foundation for Social XAI. We
do so by proposing novel ontological accounts of the key terms used in Social
XAI based on Basic Formal Ontology (BFO). Specifically, we provide novel ontological
accounts for explanandum, explanans, understanding, explanation, explainer, explainee,
and context. In doing so, we discuss multifaceted entities in Social XAI (having
both continuant and occurrent facets; e.g., explanation) and the relationship
between understanding and explanation. Additionally, we propose solutions to seemingly
paradoxical views on some terms (e.g., social constructivist vs. individual constructivist
perspective on explanandum).
author:
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A BFO-based ontological analysis of
entities in Social XAI. In: Proceedings of the 15th International Conference
on Formal Ontology in Information Systems. IOS Press; 2025:255–268. doi:10.3233/faia250498'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2025). A BFO-based ontological
analysis of entities in Social XAI. In Proceedings of the 15th International
Conference on Formal Ontology in Information Systems (pp. 255–268). IOS Press.
https://doi.org/10.3233/faia250498
bibtex: '@inbook{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontological
analysis of entities in Social XAI}, DOI={10.3233/faia250498},
booktitle={Proceedings of the 15th International Conference on Formal Ontology
in Information Systems}, publisher={IOS Press}, author={Booshehri, Meisam and
Buschmeier, Hendrik and Cimiano, Philipp}, year={2025}, pages={255–268} }'
chicago: Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based
Ontological Analysis of Entities in Social XAI.” In Proceedings of the 15th
International Conference on Formal Ontology in Information Systems, 255–268.
IOS Press, 2025. https://doi.org/10.3233/faia250498.
ieee: M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontological analysis
of entities in Social XAI,” in Proceedings of the 15th International Conference
on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.
mla: Booshehri, Meisam, et al. “A BFO-Based Ontological Analysis of Entities in
Social XAI.” Proceedings of the 15th International Conference on Formal Ontology
in Information Systems, IOS Press, 2025, pp. 255–268, doi:10.3233/faia250498.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 15th International
Conference on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.'
conference:
end_date: 2025-09-12
location: Catania, Italy
name: 15th International Conference on Formal Ontology in Information Systems
start_date: 2025-09-08
date_created: 2025-09-08T14:00:45Z
date_updated: 2025-09-11T10:16:28Z
department:
- _id: '660'
doi: 10.3233/faia250498
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.3233/FAIA250498
oa: '1'
page: 255–268
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Proceedings of the 15th International Conference on Formal Ontology in
Information Systems
publication_identifier:
isbn:
- '9781643686172'
issn:
- 0922-6389
- 1879-8314
publication_status: published
publisher: IOS Press
quality_controlled: '1'
status: public
title: A BFO-based ontological analysis of entities in Social XAI
type: book_chapter
user_id: '76456'
year: '2025'
...
---
_id: '61202'
abstract:
- lang: eng
text: The number of datasets on the web of data increases continuously. However,
the knowledge contained therein cannot be fully utilized without finding links
between the entities contained in these datasets. Equivalent entities can not
be identified solely by checking the equivalence of IRIs because of the different
origins and naming schemes of different data providers. Yet, such equivalences
can be discovered by computing the similarity of their attributes. In this paper
we propose GLIDE, an approach that links entities from two different datasets
by embedding a joint model of these datasets enriched by additional relations
describing the similarity of literals. The joint model is embedded into a latent
vector space while paying attention to juxtaposing similar literals. We evaluate
our approach against state-of-the-art algorithms using real-world datasets commonly
used in link discovery literature. The results show that GLIDE outperforms all
baselines on 5 of 7 datasets with perfect or near-perfect accuracy. Our approach
achieves its best performance on datasets that feature several literals with similarities.
Our experiments indicate that researchers should not only pay attention to equal
literals in knowledge graph embedding but should also be aware of the distance
between similar literals.
author:
- first_name: Alexander
full_name: Becker, Alexander
last_name: Becker
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: 'Mohamed '
full_name: 'Sherif, Mohamed '
last_name: Sherif
citation:
ama: 'Becker A, Ngonga Ngomo A-C, Sherif M. GLIDE: Knowledge Graph Linking using
Distance-Aware Embeddings. In: The Semantic Web – ISWC 2025. ; 2025.'
apa: 'Becker, A., Ngonga Ngomo, A.-C., & Sherif, M. (2025). GLIDE: Knowledge
Graph Linking using Distance-Aware Embeddings. The Semantic Web – ISWC 2025.
ISWC 2025.'
bibtex: '@inproceedings{Becker_Ngonga Ngomo_Sherif_2025, place={Nara, Japan}, title={GLIDE:
Knowledge Graph Linking using Distance-Aware Embeddings}, booktitle={The Semantic
Web – ISWC 2025}, author={Becker, Alexander and Ngonga Ngomo, Axel-Cyrille and
Sherif, Mohamed }, year={2025} }'
chicago: 'Becker, Alexander, Axel-Cyrille Ngonga Ngomo, and Mohamed Sherif. “GLIDE:
Knowledge Graph Linking Using Distance-Aware Embeddings.” In The Semantic Web
– ISWC 2025. Nara, Japan, 2025.'
ieee: 'A. Becker, A.-C. Ngonga Ngomo, and M. Sherif, “GLIDE: Knowledge Graph Linking
using Distance-Aware Embeddings,” presented at the ISWC 2025, 2025.'
mla: 'Becker, Alexander, et al. “GLIDE: Knowledge Graph Linking Using Distance-Aware
Embeddings.” The Semantic Web – ISWC 2025, 2025.'
short: 'A. Becker, A.-C. Ngonga Ngomo, M. Sherif, in: The Semantic Web – ISWC 2025,
Nara, Japan, 2025.'
conference:
name: ISWC 2025
date_created: 2025-09-11T10:04:16Z
date_updated: 2025-09-11T10:34:52Z
department:
- _id: '574'
keyword:
- becker sherif enexa sailproject dice simba ngonga whale
language:
- iso: eng
place: Nara, Japan
publication: The Semantic Web – ISWC 2025
status: public
title: 'GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings'
type: conference
user_id: '67234'
year: '2025'
...
---
_id: '61213'
abstract:
- lang: eng
text: |-
Understanding how scaffolding strategies influence human understanding in
human-robot interaction is important for developing effective assistive
systems. This empirical study investigates linguistic scaffolding strategies
based on negation as an important means that de-biases the user from potential
errors but increases processing costs and hesitations as a means to ameliorate
processing costs. In an adaptive strategy, the user state with respect to the
current state of understanding and processing capacity was estimated via a
scoring scheme based on task performance, prior scaffolding strategy, and
current eye gaze behavior. In the study, the adaptive strategy of providing
negations and hesitations was compared with a non-adaptive strategy of
providing only affirmations. The adaptive scaffolding strategy was generated
using the computational model SHIFT. Our findings indicate that using adaptive
scaffolding strategies with SHIFT tends to (1) increased processing costs, as
reflected in longer reaction times, but (2) improved task understanding,
evidenced by a lower error rate of almost 23%. We assessed the efficiency of
SHIFT's selected scaffolding strategies across different cognitive states,
finding that in three out of five states, the error rate was lower compared to
the baseline condition. We discuss how these results align with the assumptions
of the SHIFT model and highlight areas for refinement. Moreover, we demonstrate
how scaffolding strategies, such as negation and hesitation, contribute to more
effective human-robot explanatory dialogues.
author:
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Bjarne
full_name: Thomzik, Bjarne
last_name: Thomzik
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: Groß A, Richter B, Thomzik B, Wrede B. Leveraging Cognitive States for Adaptive
Scaffolding of Understanding in Explanatory Tasks in HRI. arXiv:250319692.
Published online 2025.
apa: Groß, A., Richter, B., Thomzik, B., & Wrede, B. (2025). Leveraging Cognitive
States for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI.
In arXiv:2503.19692.
bibtex: '@article{Groß_Richter_Thomzik_Wrede_2025, title={Leveraging Cognitive States
for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI}, journal={arXiv:2503.19692},
author={Groß, André and Richter, Birte and Thomzik, Bjarne and Wrede, Britta},
year={2025} }'
chicago: Groß, André, Birte Richter, Bjarne Thomzik, and Britta Wrede. “Leveraging
Cognitive States for Adaptive Scaffolding of Understanding in Explanatory Tasks
in HRI.” ArXiv:2503.19692, 2025.
ieee: A. Groß, B. Richter, B. Thomzik, and B. Wrede, “Leveraging Cognitive States
for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI,” arXiv:2503.19692.
2025.
mla: Groß, André, et al. “Leveraging Cognitive States for Adaptive Scaffolding of
Understanding in Explanatory Tasks in HRI.” ArXiv:2503.19692, 2025.
short: A. Groß, B. Richter, B. Thomzik, B. Wrede, ArXiv:2503.19692 (2025).
date_created: 2025-09-11T10:28:03Z
date_updated: 2025-09-11T10:32:16Z
external_id:
arxiv:
- '2503.19692'
publication: arXiv:2503.19692
status: public
title: |-
Leveraging Cognitive States for Adaptive Scaffolding of Understanding in
Explanatory Tasks in HRI
type: preprint
user_id: '93405'
year: '2025'
...
---
_id: '61214'
abstract:
- lang: eng
text: |-
In this work, we present a domain-independent approach for adaptive
scaffolding in robotic explanation generation to guide tasks in human-robot
interaction. We present a method for incorporating interdisciplinary research
results into a computational model as a pre-configured scoring system
implemented in a framework called SHIFT. This involves outlining a procedure
for integrating concepts from disciplines outside traditional computer science
into a robotics computational framework. Our approach allows us to model the
human cognitive state into six observable states within the human partner
model. To study the pre-configuration of the system, we implement a
reinforcement learning approach on top of our model. This approach allows
adaptation to individuals who deviate from the configuration of the scoring
system. Therefore, in our proof-of-concept evaluation, the model's adaptability
on four different user types shows that the models' adaptation performs better,
i.e., recouped faster after exploration and has a higher accumulated reward
with our pre-configured scoring system than without it. We discuss further
strategies of speeding up the learning phase to enable a realistic adaptation
behavior to real users. The system is accessible through docker and supports
querying via ROS.
author:
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Groß A, Richter B, Wrede B. SHIFT: An Interdisciplinary Framework for Scaffolding
Human Attention and Understanding in Explanatory Tasks. arXiv:250316447.
Published online 2025.'
apa: 'Groß, A., Richter, B., & Wrede, B. (2025). SHIFT: An Interdisciplinary
Framework for Scaffolding Human Attention and Understanding in Explanatory Tasks.
In arXiv:2503.16447.'
bibtex: '@article{Groß_Richter_Wrede_2025, title={SHIFT: An Interdisciplinary Framework
for Scaffolding Human Attention and Understanding in Explanatory Tasks}, journal={arXiv:2503.16447},
author={Groß, André and Richter, Birte and Wrede, Britta}, year={2025} }'
chicago: 'Groß, André, Birte Richter, and Britta Wrede. “SHIFT: An Interdisciplinary
Framework for Scaffolding Human Attention and Understanding in Explanatory Tasks.”
ArXiv:2503.16447, 2025.'
ieee: 'A. Groß, B. Richter, and B. Wrede, “SHIFT: An Interdisciplinary Framework
for Scaffolding Human Attention and Understanding in Explanatory Tasks,” arXiv:2503.16447.
2025.'
mla: 'Groß, André, et al. “SHIFT: An Interdisciplinary Framework for Scaffolding
Human Attention and Understanding in Explanatory Tasks.” ArXiv:2503.16447,
2025.'
short: A. Groß, B. Richter, B. Wrede, ArXiv:2503.16447 (2025).
date_created: 2025-09-11T10:28:24Z
date_updated: 2025-09-11T10:32:21Z
external_id:
arxiv:
- '2503.16447'
publication: arXiv:2503.16447
status: public
title: |-
SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention
and Understanding in Explanatory Tasks
type: preprint
user_id: '93405'
year: '2025'
...
---
_id: '61134'
author:
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
orcid: https://orcid.org/0000-0001-8403-5160
- first_name: René
full_name: Speck, René
id: '70843'
last_name: Speck
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Manzoor A, Speck R, Zahera HMA, Saleem M, Moussallem D, Ngonga Ngomo A-C. Multilingual
Relation Extraction - A Survey. IEEE Access. Published online 2025:1-1.
doi:10.1109/access.2025.3604258
apa: Manzoor, A., Speck, R., Zahera, H. M. A., Saleem, M., Moussallem, D., &
Ngonga Ngomo, A.-C. (2025). Multilingual Relation Extraction - A Survey. IEEE
Access, 1–1. https://doi.org/10.1109/access.2025.3604258
bibtex: '@article{Manzoor_Speck_Zahera_Saleem_Moussallem_Ngonga Ngomo_2025, title={Multilingual
Relation Extraction - A Survey}, DOI={10.1109/access.2025.3604258},
journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers
(IEEE)}, author={Manzoor, Ali and Speck, René and Zahera, Hamada Mohamed Abdelsamee
and Saleem, Muhammad and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025},
pages={1–1} }'
chicago: Manzoor, Ali, René Speck, Hamada Mohamed Abdelsamee Zahera, Muhammad Saleem,
Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Relation Extraction
- A Survey.” IEEE Access, 2025, 1–1. https://doi.org/10.1109/access.2025.3604258.
ieee: 'A. Manzoor, R. Speck, H. M. A. Zahera, M. Saleem, D. Moussallem, and A.-C.
Ngonga Ngomo, “Multilingual Relation Extraction - A Survey,” IEEE Access,
pp. 1–1, 2025, doi: 10.1109/access.2025.3604258.'
mla: Manzoor, Ali, et al. “Multilingual Relation Extraction - A Survey.” IEEE
Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp.
1–1, doi:10.1109/access.2025.3604258.
short: A. Manzoor, R. Speck, H.M.A. Zahera, M. Saleem, D. Moussallem, A.-C. Ngonga
Ngomo, IEEE Access (2025) 1–1.
date_created: 2025-09-04T13:32:08Z
date_updated: 2025-09-11T11:14:27Z
department:
- _id: '574'
doi: 10.1109/access.2025.3604258
language:
- iso: eng
page: 1-1
publication: IEEE Access
publication_identifier:
issn:
- 2169-3536
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Multilingual Relation Extraction - A Survey
type: journal_article
user_id: '77309'
year: '2025'
...
---
_id: '61222'
author:
- first_name: Michael
full_name: Lenke, Michael
id: '32621'
last_name: Lenke
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Lea
full_name: Biere, Lea
id: '46664'
last_name: Biere
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Lenke M, Klowait N, Biere L, Schulte C. Assessing AI Literacy: A Systematic
Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical
Aspects. In: Lecture Notes in Computer Science. Springer Nature Switzerland;
2025. doi:10.1007/978-3-032-01222-7_8'
apa: 'Lenke, M., Klowait, N., Biere, L., & Schulte, C. (2025). Assessing AI
Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral,
Cognitive, and Ethical Aspects. In Lecture Notes in Computer Science. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-032-01222-7_8'
bibtex: '@inbook{Lenke_Klowait_Biere_Schulte_2025, place={Cham}, title={Assessing
AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective,
Behavioral, Cognitive, and Ethical Aspects}, DOI={10.1007/978-3-032-01222-7_8},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Lenke, Michael and Klowait, Nils and Biere, Lea and Schulte, Carsten},
year={2025} }'
chicago: 'Lenke, Michael, Nils Klowait, Lea Biere, and Carsten Schulte. “Assessing
AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective,
Behavioral, Cognitive, and Ethical Aspects.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-01222-7_8.'
ieee: 'M. Lenke, N. Klowait, L. Biere, and C. Schulte, “Assessing AI Literacy: A
Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive,
and Ethical Aspects,” in Lecture Notes in Computer Science, Cham: Springer
Nature Switzerland, 2025.'
mla: 'Lenke, Michael, et al. “Assessing AI Literacy: A Systematic Review of Questionnaires
with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects.” Lecture
Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-01222-7_8.'
short: 'M. Lenke, N. Klowait, L. Biere, C. Schulte, in: Lecture Notes in Computer
Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-09-11T14:02:42Z
date_updated: 2025-09-11T14:07:54Z
department:
- _id: '67'
doi: 10.1007/978-3-032-01222-7_8
language:
- iso: eng
place: Cham
project:
- _id: '119'
name: TRR 318 - Project Area Ö
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032012210'
- '9783032012227'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis
on Affective, Behavioral, Cognitive, and Ethical Aspects'
type: book_chapter
user_id: '98454'
year: '2025'
...
---
_id: '61223'
abstract:
- lang: eng
text: 'Contemporary debates about artificial intelligence (AI) still treat
automation as a straightforward substitution of human labor by machines. Drawing
on Goffman’s dramaturgical sociology, this paper reframes AI in the workplace
as supplementary rather than substitutive
automation. We argue that the central—but routinely overlooked—terrain of struggle
is symbolic-interactional: workers continuously stage, conceal, and re-negotiate
what counts as “real” work and professional competence. Large language models
(LLMs) such as ChatGPT exemplify this dynamic. They quietly take over the invisible,
routinised tasks that underpin cognitive occupations (editing, summarizing, first-draft
production) while leaving humans to enact the highly visible or relational facets
that sustain occupational prestige. Drawing on diverse sources to illustrate our
theoretical argument, we show how individual workers, dramaturgical teams, and
entire professional fields manage impressions of expertise in order to counter
status threats, renegotiate fees, or obscure the extent of AI assistance. The
paper itself, having been intentionally written with the ‘aid’ of all presently
available frontier AI models, serves as a meta-reflexive performance of professional
self-staging. The dramaturgical framework clarifies why utopian tales of friction-free
augmentation and dystopian narratives of total displacement both misread how automation
is actually unfolding. By foregrounding visibility, obfuscation, and impression
management, the article presents a differentiated case for AI’s impact on the
performative structure of work, outlines diagnostic tools for assessing real-world
AI exposure beyond hype-driven headlines, and argues for a more human-centered
basis for evaluating policy responses to the ‘fourth industrial revolution.’ In
short, AI enters the labor process not as an autonomous actor, but as a prop within
an ongoing social performance—one whose scripts, stages, and audiences remain
irreducibly human.'
article_number: '1614473'
author:
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Maria
full_name: Erofeeva, Maria
last_name: Erofeeva
citation:
ama: Klowait N, Erofeeva M. The presentation of self in the age of ChatGPT. Frontiers
in Sociology. 2025;10. doi:10.3389/fsoc.2025.1614473
apa: Klowait, N., & Erofeeva, M. (2025). The presentation of self in the age
of ChatGPT. Frontiers in Sociology, 10, Article 1614473. https://doi.org/10.3389/fsoc.2025.1614473
bibtex: '@article{Klowait_Erofeeva_2025, title={The presentation of self in the
age of ChatGPT}, volume={10}, DOI={10.3389/fsoc.2025.1614473},
number={1614473}, journal={Frontiers in Sociology}, publisher={Frontiers Media
SA}, author={Klowait, Nils and Erofeeva, Maria}, year={2025} }'
chicago: Klowait, Nils, and Maria Erofeeva. “The Presentation of Self in the Age
of ChatGPT.” Frontiers in Sociology 10 (2025). https://doi.org/10.3389/fsoc.2025.1614473.
ieee: 'N. Klowait and M. Erofeeva, “The presentation of self in the age of ChatGPT,”
Frontiers in Sociology, vol. 10, Art. no. 1614473, 2025, doi: 10.3389/fsoc.2025.1614473.'
mla: Klowait, Nils, and Maria Erofeeva. “The Presentation of Self in the Age of
ChatGPT.” Frontiers in Sociology, vol. 10, 1614473, Frontiers Media SA,
2025, doi:10.3389/fsoc.2025.1614473.
short: N. Klowait, M. Erofeeva, Frontiers in Sociology 10 (2025).
date_created: 2025-09-11T14:08:31Z
date_updated: 2025-09-11T14:10:30Z
department:
- _id: '603'
doi: 10.3389/fsoc.2025.1614473
intvolume: ' 10'
language:
- iso: eng
project:
- _id: '119'
name: TRR 318 - Project Area Ö
publication: Frontiers in Sociology
publication_identifier:
issn:
- 2297-7775
publication_status: published
publisher: Frontiers Media SA
status: public
title: The presentation of self in the age of ChatGPT
type: journal_article
user_id: '98454'
volume: 10
year: '2025'
...
---
_id: '61226'
author:
- first_name: Maria
full_name: Erofeeva, Maria
last_name: Erofeeva
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Mikael
full_name: Belov, Mikael
last_name: Belov
- first_name: Yoann
full_name: Soulié, Yoann
last_name: Soulié
citation:
ama: 'Erofeeva M, Klowait N, Belov M, Soulié Y. Leveraging VR Tools for Inclusive
Education: Implications from Sign Language Learning in VRChat. In: Communications
in Computer and Information Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-98080-0_10'
apa: 'Erofeeva, M., Klowait, N., Belov, M., & Soulié, Y. (2025). Leveraging
VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat.
In Communications in Computer and Information Science. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-98080-0_10'
bibtex: '@inbook{Erofeeva_Klowait_Belov_Soulié_2025, place={Cham}, title={Leveraging
VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat},
DOI={10.1007/978-3-031-98080-0_10},
booktitle={Communications in Computer and Information Science}, publisher={Springer
Nature Switzerland}, author={Erofeeva, Maria and Klowait, Nils and Belov, Mikael
and Soulié, Yoann}, year={2025} }'
chicago: 'Erofeeva, Maria, Nils Klowait, Mikael Belov, and Yoann Soulié. “Leveraging
VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat.”
In Communications in Computer and Information Science. Cham: Springer Nature
Switzerland, 2025. https://doi.org/10.1007/978-3-031-98080-0_10.'
ieee: 'M. Erofeeva, N. Klowait, M. Belov, and Y. Soulié, “Leveraging VR Tools for Inclusive
Education: Implications from Sign Language Learning in VRChat,” in Communications
in Computer and Information Science, Cham: Springer Nature Switzerland, 2025.'
mla: 'Erofeeva, Maria, et al. “Leveraging VR Tools for Inclusive Education: Implications
from Sign Language Learning in VRChat.” Communications in Computer and Information
Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-98080-0_10.'
short: 'M. Erofeeva, N. Klowait, M. Belov, Y. Soulié, in: Communications in Computer
and Information Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-09-11T14:11:31Z
date_updated: 2025-09-11T14:11:47Z
department:
- _id: '603'
doi: 10.1007/978-3-031-98080-0_10
language:
- iso: eng
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783031980794'
- '9783031980800'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Leveraging VR Tools for Inclusive Education: Implications from Sign Language
Learning in VRChat'
type: book_chapter
user_id: '98454'
year: '2025'
...
---
_id: '61229'
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Paolo
full_name: Frazzetto, Paolo
last_name: Frazzetto
- first_name: Janine
full_name: Strotherm, Janine
last_name: Strotherm
- first_name: Luca
full_name: Hermes, Luca
last_name: Hermes
- first_name: Alessandro
full_name: Sperduti, Alessandro
last_name: Sperduti
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Muschalik M, Fumagalli F, Frazzetto P, et al. Exact Computation of Any-Order
Shapley Interactions for Graph Neural Networks. In: The Thirteenth International
Conference on Learning Representations (ICLR). ; 2025.'
apa: Muschalik, M., Fumagalli, F., Frazzetto, P., Strotherm, J., Hermes, L., Sperduti,
A., Hüllermeier, E., & Hammer, B. (2025). Exact Computation of Any-Order Shapley
Interactions for Graph Neural Networks. The Thirteenth International Conference
on Learning Representations (ICLR).
bibtex: '@inproceedings{Muschalik_Fumagalli_Frazzetto_Strotherm_Hermes_Sperduti_Hüllermeier_Hammer_2025,
title={Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks},
booktitle={The Thirteenth International Conference on Learning Representations
(ICLR)}, author={Muschalik, Maximilian and Fumagalli, Fabian and Frazzetto, Paolo
and Strotherm, Janine and Hermes, Luca and Sperduti, Alessandro and Hüllermeier,
Eyke and Hammer, Barbara}, year={2025} }'
chicago: Muschalik, Maximilian, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm,
Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, and Barbara Hammer. “Exact
Computation of Any-Order Shapley Interactions for Graph Neural Networks.” In The
Thirteenth International Conference on Learning Representations (ICLR), 2025.
ieee: M. Muschalik et al., “Exact Computation of Any-Order Shapley Interactions
for Graph Neural Networks,” 2025.
mla: Muschalik, Maximilian, et al. “Exact Computation of Any-Order Shapley Interactions
for Graph Neural Networks.” The Thirteenth International Conference on Learning
Representations (ICLR), 2025.
short: 'M. Muschalik, F. Fumagalli, P. Frazzetto, J. Strotherm, L. Hermes, A. Sperduti,
E. Hüllermeier, B. Hammer, in: The Thirteenth International Conference on Learning
Representations (ICLR), 2025.'
date_created: 2025-09-11T15:44:54Z
date_updated: 2025-09-11T16:14:54Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
publication: The Thirteenth International Conference on Learning Representations (ICLR)
status: public
title: Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
type: conference
user_id: '93420'
year: '2025'
...
---
_id: '61232'
author:
- first_name: Roel
full_name: Visser, Roel
last_name: Visser
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Visser R, Fumagalli F, Hüllermeier E, Hammer B. Explaining Outliers using
Isolation Forest and Shapley Interactions. In: Proceedings of the European
Symposium on Artificial Neural Networks (ESANN). ; 2025.'
apa: Visser, R., Fumagalli, F., Hüllermeier, E., & Hammer, B. (2025). Explaining
Outliers using Isolation Forest and Shapley Interactions. Proceedings of the
European Symposium on Artificial Neural Networks (ESANN).
bibtex: '@inproceedings{Visser_Fumagalli_Hüllermeier_Hammer_2025, title={Explaining
Outliers using Isolation Forest and Shapley Interactions}, booktitle={Proceedings
of the European Symposium on Artificial Neural Networks (ESANN)}, author={Visser,
Roel and Fumagalli, Fabian and Hüllermeier, Eyke and Hammer, Barbara}, year={2025}
}'
chicago: Visser, Roel, Fabian Fumagalli, Eyke Hüllermeier, and Barbara Hammer. “Explaining
Outliers Using Isolation Forest and Shapley Interactions.” In Proceedings of
the European Symposium on Artificial Neural Networks (ESANN), 2025.
ieee: R. Visser, F. Fumagalli, E. Hüllermeier, and B. Hammer, “Explaining Outliers
using Isolation Forest and Shapley Interactions,” 2025.
mla: Visser, Roel, et al. “Explaining Outliers Using Isolation Forest and Shapley
Interactions.” Proceedings of the European Symposium on Artificial Neural Networks
(ESANN), 2025.
short: 'R. Visser, F. Fumagalli, E. Hüllermeier, B. Hammer, in: Proceedings of the
European Symposium on Artificial Neural Networks (ESANN), 2025.'
date_created: 2025-09-11T15:53:02Z
date_updated: 2025-09-11T15:56:22Z
department:
- _id: '660'
keyword:
- FF
language:
- iso: eng
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
- _id: '124'
name: 'TRR 318 ; TP C01: Gesundes Misstrauen in Erklärungen'
publication: Proceedings of the European Symposium on Artificial Neural Networks (ESANN)
status: public
title: Explaining Outliers using Isolation Forest and Shapley Interactions
type: conference
user_id: '93420'
year: '2025'
...
---
_id: '61231'
author:
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Julia
full_name: Herbinger, Julia
last_name: Herbinger
citation:
ama: 'Fumagalli F, Muschalik M, Hüllermeier E, Hammer B, Herbinger J. Unifying Feature-Based
Explanations with Functional ANOVA and Cooperative Game Theory. In: Proceedings
of The 28th International Conference on Artificial Intelligence and Statistics
(AISTATS). Vol 258. Proceedings of Machine Learning Research. PMLR; 2025:5140-5148.'
apa: Fumagalli, F., Muschalik, M., Hüllermeier, E., Hammer, B., & Herbinger,
J. (2025). Unifying Feature-Based Explanations with Functional ANOVA and Cooperative
Game Theory. Proceedings of The 28th International Conference on Artificial
Intelligence and Statistics (AISTATS), 258, 5140–5148.
bibtex: '@inproceedings{Fumagalli_Muschalik_Hüllermeier_Hammer_Herbinger_2025, series={Proceedings
of Machine Learning Research}, title={Unifying Feature-Based Explanations with
Functional ANOVA and Cooperative Game Theory}, volume={258}, booktitle={Proceedings
of The 28th International Conference on Artificial Intelligence and Statistics
(AISTATS)}, publisher={PMLR}, author={Fumagalli, Fabian and Muschalik, Maximilian
and Hüllermeier, Eyke and Hammer, Barbara and Herbinger, Julia}, year={2025},
pages={5140–5148}, collection={Proceedings of Machine Learning Research} }'
chicago: Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer,
and Julia Herbinger. “Unifying Feature-Based Explanations with Functional ANOVA
and Cooperative Game Theory.” In Proceedings of The 28th International Conference
on Artificial Intelligence and Statistics (AISTATS), 258:5140–48. Proceedings
of Machine Learning Research. PMLR, 2025.
ieee: F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, and J. Herbinger, “Unifying
Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory,”
in Proceedings of The 28th International Conference on Artificial Intelligence
and Statistics (AISTATS), 2025, vol. 258, pp. 5140–5148.
mla: Fumagalli, Fabian, et al. “Unifying Feature-Based Explanations with Functional
ANOVA and Cooperative Game Theory.” Proceedings of The 28th International Conference
on Artificial Intelligence and Statistics (AISTATS), vol. 258, PMLR, 2025,
pp. 5140–48.
short: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, J. Herbinger, in:
Proceedings of The 28th International Conference on Artificial Intelligence and
Statistics (AISTATS), PMLR, 2025, pp. 5140–5148.'
date_created: 2025-09-11T15:48:55Z
date_updated: 2025-09-11T16:24:33Z
department:
- _id: '660'
intvolume: ' 258'
language:
- iso: eng
page: 5140-5148
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
publication: Proceedings of The 28th International Conference on Artificial Intelligence
and Statistics (AISTATS)
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game
Theory
type: conference
user_id: '93420'
volume: 258
year: '2025'
...
---
_id: '61153'
author:
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A BFO-based ontology of context for
Social XAI. In: Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations.
; 2025.'
apa: 'Booshehri, M., Buschmeier, H., & Cimiano, P. (2025). A BFO-based ontology
of context for Social XAI. Abstracts of the 3rd TRR 318 Conference: Contextualizing
Explanations. 3rd TRR 318 Conference: Contextualizing Explanations, Bielefeld,
Germany.'
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontology
of context for Social XAI}, booktitle={Abstracts of the 3rd TRR 318 Conference:
Contextualizing Explanations}, author={Booshehri, Meisam and Buschmeier, Hendrik
and Cimiano, Philipp}, year={2025} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based
Ontology of Context for Social XAI.” In Abstracts of the 3rd TRR 318 Conference:
Contextualizing Explanations, 2025.'
ieee: 'M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontology of context
for Social XAI,” presented at the 3rd TRR 318 Conference: Contextualizing Explanations,
Bielefeld, Germany, 2025.'
mla: 'Booshehri, Meisam, et al. “A BFO-Based Ontology of Context for Social XAI.”
Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations,
2025.'
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Abstracts of the 3rd TRR 318
Conference: Contextualizing Explanations, 2025.'
conference:
end_date: 2025-06-18
location: Bielefeld, Germany
name: '3rd TRR 318 Conference: Contextualizing Explanations'
start_date: 2025-06-17
date_created: 2025-09-08T14:15:42Z
date_updated: 2025-09-12T06:29:37Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: 'Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations'
quality_controlled: '1'
status: public
title: A BFO-based ontology of context for Social XAI
type: conference_abstract
user_id: '76456'
year: '2025'
...