---
_id: '46524'
author:
- first_name: Philipp
full_name: Wotschel, Philipp
id: '89529'
last_name: Wotschel
- first_name: Christoph
full_name: Vogelsang, Christoph
id: '4245'
last_name: Vogelsang
- first_name: Thomas
full_name: Janzen, Thomas
id: '89329'
last_name: Janzen
- first_name: Jana
full_name: Meier, Jana
id: '28542'
last_name: Meier
orcid: https://orcid.org/0000-0002-6756-9440
citation:
ama: 'Wotschel P, Vogelsang C, Janzen T, Meier J. Als Lehrkraft gut beraten? Entwicklung
und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz
von Lehramtsstudierenden. In: ; 2023.'
apa: Wotschel, P., Vogelsang, C., Janzen, T., & Meier, J. (2023). Als Lehrkraft
gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur
Erfassung von Beratungskompetenz von Lehramtsstudierenden. Sektionstagung
empirische Bildungsforschung der Arbeitsgruppe für Empirische Pädagogische Forschung
(AEPF) sowie der Kommission für Bildungsplanung, Bildungsorganisation und Bildungsrecht
(KBBB), Potsdam.
bibtex: '@inproceedings{Wotschel_Vogelsang_Janzen_Meier_2023, title={Als Lehrkraft
gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur
Erfassung von Beratungskompetenz von Lehramtsstudierenden}, author={Wotschel,
Philipp and Vogelsang, Christoph and Janzen, Thomas and Meier, Jana}, year={2023}
}'
chicago: Wotschel, Philipp, Christoph Vogelsang, Thomas Janzen, and Jana Meier.
“Als Lehrkraft Gut Beraten? Entwicklung Und Erprobung Eines Handlungsnahen Prüfungsformates
Zur Erfassung von Beratungskompetenz von Lehramtsstudierenden,” 2023.
ieee: P. Wotschel, C. Vogelsang, T. Janzen, and J. Meier, “Als Lehrkraft gut beraten?
Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung
von Beratungskompetenz von Lehramtsstudierenden,” presented at the Sektionstagung
empirische Bildungsforschung der Arbeitsgruppe für Empirische Pädagogische Forschung
(AEPF) sowie der Kommission für Bildungsplanung, Bildungsorganisation und Bildungsrecht
(KBBB), Potsdam, 2023.
mla: Wotschel, Philipp, et al. Als Lehrkraft Gut Beraten? Entwicklung Und Erprobung
Eines Handlungsnahen Prüfungsformates Zur Erfassung von Beratungskompetenz von
Lehramtsstudierenden. 2023.
short: 'P. Wotschel, C. Vogelsang, T. Janzen, J. Meier, in: 2023.'
conference:
end_date: 2023-09-15
location: Potsdam
name: Sektionstagung empirische Bildungsforschung der Arbeitsgruppe für Empirische
Pädagogische Forschung (AEPF) sowie der Kommission für Bildungsplanung, Bildungsorganisation
und Bildungsrecht (KBBB)
start_date: 2023-09-13
date_created: 2023-08-16T09:34:27Z
date_updated: 2023-08-16T09:34:30Z
department:
- _id: '4'
- _id: '33'
language:
- iso: eng
status: public
title: Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates
zur Erfassung von Beratungskompetenz von Lehramtsstudierenden
type: conference
user_id: '28542'
year: '2023'
...
---
_id: '46518'
abstract:
- lang: eng
text: "Purpose: This study addresses the limitations of current short abstracts
of DBpedia entities, which often lack a comprehensive overview due to their creating
method (i.e., selecting the first two-three sentences from the full DBpedia abstracts).\r\nMethodology:
We leverage pre-trained language models to generate abstractive summaries of DBpedia
abstracts in six languages (English, French, German, Italian, Spanish, and Dutch).
We performed several experiments to assess the quality of generated summaries
by language models. In particular, we evaluated the generated summaries using
human judgments and automated metrics (Self-ROUGE and BERTScore). Additionally,
we studied the correlation between human judgments and automated metrics in evaluating
the generated summaries under different aspects: informativeness, coherence, conciseness,
and fluency.\r\nFindings: Pre-trained language models generate summaries more
concise and informative than existing short abstracts. Specifically, BART-based
models effectively overcome the limitations of DBpedia short abstracts, especially
for longer ones.\r\nMoreover, we show that BERTScore and ROUGE-1 are reliable
metrics for assessing the informativeness and coherence of the generated summaries
with respect to the full DBpedia abstracts. We also find a negative correlation
between conciseness and human ratings. Furthermore, fluency evaluation remains
challenging without human judgment.\r\nValue: This study has significant implications
for various applications in machine learning and natural language processing that
rely on DBpedia resources. By providing succinct and comprehensive summaries,
our approach enhances the quality of DBpedia abstracts and contributes to the
semantic web community"
author:
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Fedor
full_name: Vitiugin, Fedor
last_name: Vitiugin
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Carlos
full_name: Castillo, Carlos
last_name: Castillo
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Zahera HMA, Vitiugin F, Sherif M, Castillo C, Ngonga Ngomo A-C. Using Pre-trained
Language Models for Abstractive DBpedia Summarization: A Comparative Study. In:
SEMANTiCS. ; 2023.'
apa: 'Zahera, H. M. A., Vitiugin, F., Sherif, M., Castillo, C., & Ngonga Ngomo,
A.-C. (2023). Using Pre-trained Language Models for Abstractive DBpedia Summarization:
A Comparative Study. SEMANTiCS. SEMANTiCS 2023, Leipzig, Germany.'
bibtex: '@inproceedings{Zahera_Vitiugin_Sherif_Castillo_Ngonga Ngomo_2023, title={Using
Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative
Study}, booktitle={SEMANTiCS}, author={Zahera, Hamada Mohamed Abdelsamee and Vitiugin,
Fedor and Sherif, Mohamed and Castillo, Carlos and Ngonga Ngomo, Axel-Cyrille},
year={2023} }'
chicago: 'Zahera, Hamada Mohamed Abdelsamee, Fedor Vitiugin, Mohamed Sherif, Carlos
Castillo, and Axel-Cyrille Ngonga Ngomo. “Using Pre-Trained Language Models for
Abstractive DBpedia Summarization: A Comparative Study.” In SEMANTiCS,
2023.'
ieee: 'H. M. A. Zahera, F. Vitiugin, M. Sherif, C. Castillo, and A.-C. Ngonga Ngomo,
“Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative
Study,” presented at the SEMANTiCS 2023, Leipzig, Germany, 2023.'
mla: 'Zahera, Hamada Mohamed Abdelsamee, et al. “Using Pre-Trained Language Models
for Abstractive DBpedia Summarization: A Comparative Study.” SEMANTiCS,
2023.'
short: 'H.M.A. Zahera, F. Vitiugin, M. Sherif, C. Castillo, A.-C. Ngonga Ngomo,
in: SEMANTiCS, 2023.'
conference:
end_date: 2023-09-23
location: Leipzig, Germany
name: SEMANTiCS 2023
start_date: 2023-09-20
date_created: 2023-08-16T08:58:12Z
date_updated: 2023-08-16T10:09:29Z
keyword:
- dice enexa kiam ngonga porque sherif zahera
language:
- iso: eng
publication: SEMANTiCS
status: public
title: 'Using Pre-trained Language Models for Abstractive DBpedia Summarization: A
Comparative Study'
type: conference
user_id: '67234'
year: '2023'
...
---
_id: '45558'
abstract:
- lang: eng
text: Graffiti is an urban phenomenon that is increasingly attracting the interest
of the sciences. To the best of our knowledge, no suitable data corpora are available
for systematic research until now. The Information System Graffiti in Germany
project (Ingrid) closes this gap by dealing with graffiti image collections that
have been made available to the project for public use. Within Ingrid, the graffiti
images are collected, digitized and annotated. With this work, we aim to support
the rapid access to a comprehensive data source on Ingrid targeted especially
by researchers. In particular, we present IngridKG, an RDF knowledge graph of
annotated graffiti, abides by the Linked Data and FAIR principles. We weekly update
IngridKG by augmenting the new annotated graffiti to our knowledge graph. Our
generation pipeline applies RDF data conversion, link discovery and data fusion
approaches to the original data. The current version of IngridKG contains 460,640,154
triples and is linked to 3 other knowledge graphs by over 200,000 links. In our
use case studies, we demonstrate the usefulness of our knowledge graph for different
applications.
author:
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Ana Alexandra
full_name: Morim da Silva, Ana Alexandra
last_name: Morim da Silva
- first_name: Svetlana
full_name: Pestryakova, Svetlana
last_name: Pestryakova
- first_name: Abdullah Fathi Ahmed
full_name: Ahmed, Abdullah Fathi Ahmed
id: '29670'
last_name: Ahmed
- first_name: Sven
full_name: Niemann, Sven
id: '6593'
last_name: Niemann
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Sherif M, Morim da Silva AA, Pestryakova S, Ahmed AFA, Niemann S, Ngonga Ngomo
A-C. IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University;
2023. doi:10.5281/ZENODO.7560242'
apa: 'Sherif, M., Morim da Silva, A. A., Pestryakova, S., Ahmed, A. F. A., Niemann,
S., & Ngonga Ngomo, A.-C. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti.
LibreCat University. https://doi.org/10.5281/ZENODO.7560242'
bibtex: '@book{Sherif_Morim da Silva_Pestryakova_Ahmed_Niemann_Ngonga Ngomo_2023,
title={IngridKG: A FAIR Knowledge Graph of Graffiti}, DOI={10.5281/ZENODO.7560242},
publisher={LibreCat University}, author={Sherif, Mohamed and Morim da Silva, Ana
Alexandra and Pestryakova, Svetlana and Ahmed, Abdullah Fathi Ahmed and Niemann,
Sven and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: 'Sherif, Mohamed, Ana Alexandra Morim da Silva, Svetlana Pestryakova, Abdullah
Fathi Ahmed Ahmed, Sven Niemann, and Axel-Cyrille Ngonga Ngomo. IngridKG: A
FAIR Knowledge Graph of Graffiti. LibreCat University, 2023. https://doi.org/10.5281/ZENODO.7560242.'
ieee: 'M. Sherif, A. A. Morim da Silva, S. Pestryakova, A. F. A. Ahmed, S. Niemann,
and A.-C. Ngonga Ngomo, IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat
University, 2023.'
mla: 'Sherif, Mohamed, et al. IngridKG: A FAIR Knowledge Graph of Graffiti.
LibreCat University, 2023, doi:10.5281/ZENODO.7560242.'
short: 'M. Sherif, A.A. Morim da Silva, S. Pestryakova, A.F.A. Ahmed, S. Niemann,
A.-C. Ngonga Ngomo, IngridKG: A FAIR Knowledge Graph of Graffiti, LibreCat University,
2023.'
date_created: 2023-06-09T10:09:34Z
date_updated: 2023-08-16T10:23:55Z
department:
- _id: '34'
doi: 10.5281/ZENODO.7560242
project:
- _id: '104'
grant_number: '289287267'
name: 'INGRID: INGRID: Informationssystem Graffiti in Deutschland'
publisher: LibreCat University
status: public
title: 'IngridKG: A FAIR Knowledge Graph of Graffiti'
type: research_data
user_id: '67234'
year: '2023'
...
---
_id: '46542'
abstract:
- lang: eng
text: Multiprotein adsorption from complex body fluids represents a highly
important and complicated phenomenon in medicine. In this work, multiprotein adsorption
from diluted human serum at gold and oxidized iron surfaces is investigated at
different serum concentrations and pH values. Adsorption-induced changes in surface
topography and the total amount of adsorbed proteins are quantified by atomic
force microscopy (AFM) and polarization-modulation infrared reflection absorption
spectroscopy (PM-IRRAS), respectively. For both surfaces, stronger protein adsorption
is observed at pH 6 compared to pH 7 and pH 8. PM-IRRAS furthermore provides some
qualitative insights into the pH-dependent alterations in the composition of the
adsorbed multiprotein films. Changes in the amide II/amide I band area ratio and
in particular side-chain IR absorption suggest that the increased adsorption at
pH 6 is accompanied by a change in protein film composition. Presumably, this
is mostly driven by the adsorption of human serum albumin, which at pH 6 adsorbs
more readily and thereby replaces other proteins with lower surface affinities
in the resulting multiprotein film.
article_number: '6060'
author:
- first_name: Jingyuan
full_name: Huang, Jingyuan
last_name: Huang
- first_name: Yunshu
full_name: Qiu, Yunshu
last_name: Qiu
- first_name: Felix
full_name: Lücke, Felix
last_name: Lücke
- first_name: Jiangling
full_name: Su, Jiangling
last_name: Su
- first_name: Guido
full_name: Grundmeier, Guido
id: '194'
last_name: Grundmeier
- first_name: Adrian
full_name: Keller, Adrian
id: '48864'
last_name: Keller
orcid: 0000-0001-7139-3110
citation:
ama: Huang J, Qiu Y, Lücke F, Su J, Grundmeier G, Keller A. Multiprotein Adsorption
from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy
and Polarization-Modulation Infrared Reflection Absorption Spectroscopy. Molecules.
2023;28(16). doi:10.3390/molecules28166060
apa: Huang, J., Qiu, Y., Lücke, F., Su, J., Grundmeier, G., & Keller, A. (2023).
Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied
by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption
Spectroscopy. Molecules, 28(16), Article 6060. https://doi.org/10.3390/molecules28166060
bibtex: '@article{Huang_Qiu_Lücke_Su_Grundmeier_Keller_2023, title={Multiprotein
Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic
Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy},
volume={28}, DOI={10.3390/molecules28166060},
number={166060}, journal={Molecules}, publisher={MDPI AG}, author={Huang, Jingyuan
and Qiu, Yunshu and Lücke, Felix and Su, Jiangling and Grundmeier, Guido and Keller,
Adrian}, year={2023} }'
chicago: Huang, Jingyuan, Yunshu Qiu, Felix Lücke, Jiangling Su, Guido Grundmeier,
and Adrian Keller. “Multiprotein Adsorption from Human Serum at Gold and Oxidized
Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared
Reflection Absorption Spectroscopy.” Molecules 28, no. 16 (2023). https://doi.org/10.3390/molecules28166060.
ieee: 'J. Huang, Y. Qiu, F. Lücke, J. Su, G. Grundmeier, and A. Keller, “Multiprotein
Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic
Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy,”
Molecules, vol. 28, no. 16, Art. no. 6060, 2023, doi: 10.3390/molecules28166060.'
mla: Huang, Jingyuan, et al. “Multiprotein Adsorption from Human Serum at Gold and
Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation
Infrared Reflection Absorption Spectroscopy.” Molecules, vol. 28, no. 16,
6060, MDPI AG, 2023, doi:10.3390/molecules28166060.
short: J. Huang, Y. Qiu, F. Lücke, J. Su, G. Grundmeier, A. Keller, Molecules 28
(2023).
date_created: 2023-08-16T10:51:48Z
date_updated: 2023-08-16T10:53:08Z
department:
- _id: '302'
doi: 10.3390/molecules28166060
intvolume: ' 28'
issue: '16'
keyword:
- Chemistry (miscellaneous)
- Analytical Chemistry
- Organic Chemistry
- Physical and Theoretical Chemistry
- Molecular Medicine
- Drug Discovery
- Pharmaceutical Science
language:
- iso: eng
publication: Molecules
publication_identifier:
issn:
- 1420-3049
publication_status: published
publisher: MDPI AG
status: public
title: Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces
Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection
Absorption Spectroscopy
type: journal_article
user_id: '48864'
volume: 28
year: '2023'
...
---
_id: '46543'
abstract:
- lang: eng
text: The influence of nanoscale surface topography on protein adsorption
is highly important for numerous applications in medicine and technology. Herein,
ferritin adsorption at flat and nanofaceted, single-crystalline Al2O3 surfaces
is investigated using atomic force microscopy and X-ray photoelectron spectroscopy.
The nanofaceted surfaces are generated by the thermal annealing of Al2O3 wafers
at temperatures above 1000 °C, which leads to the formation of faceted saw-tooth-like
surface topographies with periodicities of about 160 nm and amplitudes of about
15 nm. Ferritin adsorption at these nanofaceted surfaces is notably suppressed
compared to the flat surface at a concentration of 10 mg/mL, which is attributed
to lower adsorption affinities of the newly formed facets. Consequently, adsorption
is restricted mostly to the pattern grooves, where the proteins can maximize their
contact area with the surface. However, this effect depends on the protein concentration,
with an inverse trend being observed at 30 mg/mL. Furthermore, different ferritin
adsorption behavior is observed at topographically similar nanofacet patterns
fabricated at different annealing temperatures and attributed to different step
and kink densities. These results demonstrate that while protein adsorption at
solid surfaces can be notably affected by nanofacet patterns, fine-tuning protein
adsorption in this way requires the precise control of facet properties.
article_number: '12808'
author:
- first_name: Bhanu K.
full_name: Pothineni, Bhanu K.
last_name: Pothineni
- first_name: Sabrina
full_name: Kollmann, Sabrina
last_name: Kollmann
- first_name: Xinyang
full_name: Li, Xinyang
last_name: Li
- first_name: Guido
full_name: Grundmeier, Guido
id: '194'
last_name: Grundmeier
- first_name: Denise J.
full_name: Erb, Denise J.
last_name: Erb
- first_name: Adrian
full_name: Keller, Adrian
id: '48864'
last_name: Keller
orcid: 0000-0001-7139-3110
citation:
ama: Pothineni BK, Kollmann S, Li X, Grundmeier G, Erb DJ, Keller A. Adsorption
of Ferritin at Nanofaceted Al2O3 Surfaces. International Journal of Molecular
Sciences. 2023;24(16). doi:10.3390/ijms241612808
apa: Pothineni, B. K., Kollmann, S., Li, X., Grundmeier, G., Erb, D. J., & Keller,
A. (2023). Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces. International
Journal of Molecular Sciences, 24(16), Article 12808. https://doi.org/10.3390/ijms241612808
bibtex: '@article{Pothineni_Kollmann_Li_Grundmeier_Erb_Keller_2023, title={Adsorption
of Ferritin at Nanofaceted Al2O3 Surfaces}, volume={24}, DOI={10.3390/ijms241612808},
number={1612808}, journal={International Journal of Molecular Sciences}, publisher={MDPI
AG}, author={Pothineni, Bhanu K. and Kollmann, Sabrina and Li, Xinyang and Grundmeier,
Guido and Erb, Denise J. and Keller, Adrian}, year={2023} }'
chicago: Pothineni, Bhanu K., Sabrina Kollmann, Xinyang Li, Guido Grundmeier, Denise
J. Erb, and Adrian Keller. “Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces.”
International Journal of Molecular Sciences 24, no. 16 (2023). https://doi.org/10.3390/ijms241612808.
ieee: 'B. K. Pothineni, S. Kollmann, X. Li, G. Grundmeier, D. J. Erb, and A. Keller,
“Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces,” International Journal
of Molecular Sciences, vol. 24, no. 16, Art. no. 12808, 2023, doi: 10.3390/ijms241612808.'
mla: Pothineni, Bhanu K., et al. “Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces.”
International Journal of Molecular Sciences, vol. 24, no. 16, 12808, MDPI
AG, 2023, doi:10.3390/ijms241612808.
short: B.K. Pothineni, S. Kollmann, X. Li, G. Grundmeier, D.J. Erb, A. Keller, International
Journal of Molecular Sciences 24 (2023).
date_created: 2023-08-16T10:52:25Z
date_updated: 2023-08-16T10:53:00Z
department:
- _id: '302'
doi: 10.3390/ijms241612808
intvolume: ' 24'
issue: '16'
keyword:
- Inorganic Chemistry
- Organic Chemistry
- Physical and Theoretical Chemistry
- Computer Science Applications
- Spectroscopy
- Molecular Biology
- General Medicine
- Catalysis
language:
- iso: eng
publication: International Journal of Molecular Sciences
publication_identifier:
issn:
- 1422-0067
publication_status: published
publisher: MDPI AG
status: public
title: Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces
type: journal_article
user_id: '48864'
volume: 24
year: '2023'
...
---
_id: '46459'
author:
- first_name: N’Dah Jean
full_name: Kouagou, N’Dah Jean
last_name: Kouagou
- first_name: Stefan
full_name: Heindorf, Stefan
last_name: Heindorf
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Axel-Cyrille Ngonga
full_name: Ngomo, Axel-Cyrille Ngonga
last_name: Ngomo
citation:
ama: 'Kouagou NJ, Heindorf S, Demir C, Ngomo A-CN. Neural Class Expression Synthesis
(Extended Abstract). In: NeSy. Vol 3432. CEUR Workshop Proceedings. CEUR-WS.org;
2023:430–431.'
apa: Kouagou, N. J., Heindorf, S., Demir, C., & Ngomo, A.-C. N. (2023). Neural
Class Expression Synthesis (Extended Abstract). NeSy, 3432, 430–431.
bibtex: '@inproceedings{Kouagou_Heindorf_Demir_Ngomo_2023, series={CEUR Workshop
Proceedings}, title={Neural Class Expression Synthesis (Extended Abstract)}, volume={3432},
booktitle={NeSy}, publisher={CEUR-WS.org}, author={Kouagou, N’Dah Jean and Heindorf,
Stefan and Demir, Caglar and Ngomo, Axel-Cyrille Ngonga}, year={2023}, pages={430–431},
collection={CEUR Workshop Proceedings} }'
chicago: Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga
Ngomo. “Neural Class Expression Synthesis (Extended Abstract).” In NeSy,
3432:430–431. CEUR Workshop Proceedings. CEUR-WS.org, 2023.
ieee: N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. N. Ngomo, “Neural Class Expression
Synthesis (Extended Abstract),” in NeSy, 2023, vol. 3432, pp. 430–431.
mla: Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis (Extended Abstract).”
NeSy, vol. 3432, CEUR-WS.org, 2023, pp. 430–431.
short: 'N.J. Kouagou, S. Heindorf, C. Demir, A.-C.N. Ngomo, in: NeSy, CEUR-WS.org,
2023, pp. 430–431.'
date_created: 2023-08-08T11:46:27Z
date_updated: 2023-08-16T11:04:23Z
intvolume: ' 3432'
language:
- iso: eng
page: 430–431
publication: NeSy
publisher: CEUR-WS.org
series_title: CEUR Workshop Proceedings
status: public
title: Neural Class Expression Synthesis (Extended Abstract)
type: conference
user_id: '87189'
volume: 3432
year: '2023'
...
---
_id: '46572'
abstract:
- lang: eng
text: Indonesian is classified as underrepresented in the Natural Language Processing
(NLP) field, despite being the tenth most spoken language in the world with 198
million speakers. The paucity of datasets is recognized as the main reason for
the slow advancements in NLP research for underrepresented languages. Significant
attempts were made in 2020 to address this drawback for Indonesian. The Indonesian
Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT
pre-trained language model. The second benchmark, Indonesian Language Evaluation
Montage (IndoLEM), was presented in the same year. These benchmarks support several
tasks, including Named Entity Recognition (NER). However, all NER datasets are
in the public domain and do not contain domain-specific datasets. To alleviate
this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset
in the religious domain that adheres to a meticulously designed annotation guideline.
Since Indonesia has the world’s largest Muslim population, we build the dataset
from the Indonesian translation of the Quran. The dataset includes 2475 named
entities representing 18 different classes. To assess the annotation quality of
IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT
fine-tuning. The results reveal that the first model outperforms the second model
achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable
evaluation metric for Indonesian NER tasks in the aforementioned domain, widening
the research’s domain range.
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
last_name: Gusmita
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
last_name: Firmansyah
- first_name: Diego
full_name: Moussallem, Diego
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named
Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.
In: Natural Language Processing and Information Systems. Springer Nature
Switzerland; 2023. doi:10.1007/978-3-031-35320-8_12'
apa: 'Gusmita, R. H., Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C.
(2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
Translation of the Quran. In Natural Language Processing and Information Systems.
International Conference on Applications of Natural Language to Information Systems
(NLDB) 2023, Derby, UK. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_12'
bibtex: '@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham},
title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
Translation of the Quran}, DOI={10.1007/978-3-031-35320-8_12},
booktitle={Natural Language Processing and Information Systems}, publisher={Springer
Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and
Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: 'Gusmita, Ria Hari, Asep Fajar Firmansyah, Diego Moussallem, and Axel-Cyrille
Ngonga Ngomo. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
Translation of the Quran.” In Natural Language Processing and Information Systems.
Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-35320-8_12.'
ieee: 'R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER:
Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,”
in Natural Language Processing and Information Systems, Cham: Springer
Nature Switzerland, 2023.'
mla: 'Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset
from the Indonesian Translation of the Quran.” Natural Language Processing
and Information Systems, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_12.'
short: 'R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural
Language Processing and Information Systems, Springer Nature Switzerland, Cham,
2023.'
conference:
end_date: 2023-06-23
location: Derby, UK
name: International Conference on Applications of Natural Language to Information
Systems (NLDB) 2023
start_date: 2023-06-21
date_created: 2023-08-17T12:41:45Z
date_updated: 2023-08-17T12:52:03Z
department:
- _id: '574'
doi: 10.1007/978-3-031-35320-8_12
language:
- iso: eng
place: Cham
publication: Natural Language Processing and Information Systems
publication_identifier:
isbn:
- '9783031353192'
- '9783031353208'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation
of the Quran'
type: book_chapter
user_id: '76787'
year: '2023'
...
---
_id: '46569'
abstract:
- lang: eng
text: 'AbstractExternal visualization (i.e., physically
embodied visualization) is central to the teaching and learning of mathematics.
As external visualization is an important part of mathematics at all levels of
education, it is diverse, and research on external visualization has become a
wide and complex field. The aim of this scoping review is to characterize external
visualizations in recent mathematics education research in order to develop a
common ground and guide future research. A qualitative content analysis of the
full texts of 130 studies published between 2018 and 2022 applied a deductive-inductive
coding procedure to assess four dimensions: visualization product or process,
type of visualization, media, and purpose. The analysis revealed different types
of external visualizations including visualizations with physical resemblance
ranging from pictorial to abstract visualizations as well as three types of visualizations
with structural resemblance: length, area, and relational visualizations. Future
research should include measures of visualization products or processes to help
explain the demands and affordances that different types of visualizations present
to learners and teachers.'
author:
- first_name: Johanna
full_name: Schoenherr, Johanna
last_name: Schoenherr
- first_name: Stanislaw
full_name: Schukajlow, Stanislaw
last_name: Schukajlow
citation:
ama: 'Schoenherr J, Schukajlow S. Characterizing external visualization in mathematics
education research: a scoping review. ZDM – Mathematics Education. Published
online 2023. doi:10.1007/s11858-023-01494-3'
apa: 'Schoenherr, J., & Schukajlow, S. (2023). Characterizing external visualization
in mathematics education research: a scoping review. ZDM – Mathematics Education.
https://doi.org/10.1007/s11858-023-01494-3'
bibtex: '@article{Schoenherr_Schukajlow_2023, title={Characterizing external visualization
in mathematics education research: a scoping review}, DOI={10.1007/s11858-023-01494-3},
journal={ZDM – Mathematics Education}, publisher={Springer Science and Business
Media LLC}, author={Schoenherr, Johanna and Schukajlow, Stanislaw}, year={2023}
}'
chicago: 'Schoenherr, Johanna, and Stanislaw Schukajlow. “Characterizing External
Visualization in Mathematics Education Research: A Scoping Review.” ZDM – Mathematics
Education, 2023. https://doi.org/10.1007/s11858-023-01494-3.'
ieee: 'J. Schoenherr and S. Schukajlow, “Characterizing external visualization in
mathematics education research: a scoping review,” ZDM – Mathematics Education,
2023, doi: 10.1007/s11858-023-01494-3.'
mla: 'Schoenherr, Johanna, and Stanislaw Schukajlow. “Characterizing External Visualization
in Mathematics Education Research: A Scoping Review.” ZDM – Mathematics Education,
Springer Science and Business Media LLC, 2023, doi:10.1007/s11858-023-01494-3.'
short: J. Schoenherr, S. Schukajlow, ZDM – Mathematics Education (2023).
date_created: 2023-08-17T10:11:45Z
date_updated: 2023-08-17T10:13:23Z
doi: 10.1007/s11858-023-01494-3
keyword:
- General Mathematics
- Education
language:
- iso: eng
publication: ZDM – Mathematics Education
publication_identifier:
issn:
- 1863-9690
- 1863-9704
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Characterizing external visualization in mathematics education research: a
scoping review'
type: journal_article
user_id: '99409'
year: '2023'
...
---
_id: '46560'
author:
- first_name: Stefanie
full_name: Vochatzer, Stefanie
id: '95153'
last_name: Vochatzer
citation:
ama: 'Vochatzer S. My first contact with the Foodsharing Initiative. In: Bentz J,
Leibniz Insitute for Educational Media , Georg Eckert Institute, eds. Creative
Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling
and Art. Leibniz Insitute for Educational Media, Georg Eckert Institute; 2023:48.'
apa: Vochatzer, S. (2023). My first contact with the Foodsharing Initiative. In
J. Bentz , Leibniz Insitute for Educational Media , & Georg Eckert Institute
(Eds.), Creative Approaches to Climate and Peace Education. An Educationr’s
Guide to Using Storytelling and Art (p. 48). Leibniz Insitute for Educational
Media, Georg Eckert Institute.
bibtex: '@inbook{Vochatzer_2023, place={Braunschweig}, title={My first contact with
the Foodsharing Initiative}, booktitle={Creative Approaches to Climate and Peace
Education. An Educationr’s Guide to Using Storytelling and Art}, publisher={Leibniz
Insitute for Educational Media, Georg Eckert Institute}, author={Vochatzer, Stefanie},
editor={Bentz , Julia and Leibniz Insitute for Educational Media and Georg Eckert
Institute}, year={2023}, pages={48} }'
chicago: 'Vochatzer, Stefanie. “My First Contact with the Foodsharing Initiative.”
In Creative Approaches to Climate and Peace Education. An Educationr’s Guide
to Using Storytelling and Art, edited by Julia Bentz , Leibniz Insitute for
Educational Media , and Georg Eckert Institute, 48. Braunschweig: Leibniz Insitute
for Educational Media, Georg Eckert Institute, 2023.'
ieee: 'S. Vochatzer, “My first contact with the Foodsharing Initiative,” in Creative
Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling
and Art, J. Bentz , Leibniz Insitute for Educational Media , and Georg Eckert
Institute, Eds. Braunschweig: Leibniz Insitute for Educational Media, Georg Eckert
Institute, 2023, p. 48.'
mla: Vochatzer, Stefanie. “My First Contact with the Foodsharing Initiative.” Creative
Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling
and Art, edited by Julia Bentz et al., Leibniz Insitute for Educational
Media, Georg Eckert Institute, 2023, p. 48.
short: 'S. Vochatzer, in: J. Bentz , Leibniz Insitute for Educational Media , Georg
Eckert Institute (Eds.), Creative Approaches to Climate and Peace Education. An
Educationr’s Guide to Using Storytelling and Art, Leibniz Insitute for Educational
Media, Georg Eckert Institute, Braunschweig, 2023, p. 48.'
corporate_editor:
- 'Leibniz Insitute for Educational Media '
- Georg Eckert Institute
date_created: 2023-08-17T09:23:08Z
date_updated: 2023-08-18T10:16:33Z
department:
- _id: '723'
- _id: '724'
- _id: '36'
editor:
- first_name: 'Julia '
full_name: 'Bentz , Julia '
last_name: 'Bentz '
language:
- iso: eng
page: '48'
place: Braunschweig
publication: Creative Approaches to Climate and Peace Education. An Educationr’s Guide
to Using Storytelling and Art
publication_identifier:
unknown:
- 'ISBN: 978-3-88304-000-4'
publication_status: published
publisher: Leibniz Insitute for Educational Media, Georg Eckert Institute
status: public
title: My first contact with the Foodsharing Initiative
type: book_chapter
user_id: '48187'
year: '2023'
...
---
_id: '46534'
abstract:
- lang: eng
text: We study the effect of education on health (hospital stays, number of diagnosed
conditions, self-rated poor health, and obesity) over the life-cycle in Germany,
using compulsory schooling reforms as a source of exogenous variation. Our results
suggest a positive correlation of health and education which increases over the
life-cycle. We do not, however, find any positive local average treatment effects
of an additional year of schooling on health or health care utilization for individuals
up to age 79. An exception is obesity, where positive effects of schooling start
to be visible around age 60 and become very large in age group 75-79. The results
in age group 75-79 need to be interpreted with caution, however, due to small
sample size and possible problems of attrition.
author:
- first_name: Hendrik
full_name: Schmitz, Hendrik
id: '48879'
last_name: Schmitz
- first_name: Beatrice Baaba
full_name: Tawiah, Beatrice Baaba
id: '70577'
last_name: Tawiah
citation:
ama: Schmitz H, Tawiah BB. Life-Cycle Health Effects of Compulsory Schooling.
Vol 1006. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum,
TU Dortmund University, University of Duisburg-Essen; 2023.
apa: Schmitz, H., & Tawiah, B. B. (2023). Life-cycle health effects of compulsory
schooling (Vol. 1006). RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University
Bochum, TU Dortmund University, University of Duisburg-Essen.
bibtex: '@book{Schmitz_Tawiah_2023, series={ Ruhr Economic Papers}, title={Life-cycle
health effects of compulsory schooling}, volume={1006}, publisher={RWI - Leibniz-Institut
für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University
of Duisburg-Essen}, author={Schmitz, Hendrik and Tawiah, Beatrice Baaba}, year={2023},
collection={ Ruhr Economic Papers} }'
chicago: Schmitz, Hendrik, and Beatrice Baaba Tawiah. Life-Cycle Health Effects
of Compulsory Schooling. Vol. 1006. Ruhr Economic Papers. RWI - Leibniz-Institut
für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University
of Duisburg-Essen, 2023.
ieee: H. Schmitz and B. B. Tawiah, Life-cycle health effects of compulsory schooling,
vol. 1006. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum,
TU Dortmund University, University of Duisburg-Essen, 2023.
mla: Schmitz, Hendrik, and Beatrice Baaba Tawiah. Life-Cycle Health Effects of
Compulsory Schooling. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University
Bochum, TU Dortmund University, University of Duisburg-Essen, 2023.
short: H. Schmitz, B.B. Tawiah, Life-Cycle Health Effects of Compulsory Schooling,
RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund
University, University of Duisburg-Essen, 2023.
date_created: 2023-08-16T09:51:10Z
date_updated: 2023-08-20T17:51:42Z
department:
- _id: '281'
- _id: '475'
intvolume: ' 1006'
keyword:
- Education
- health
- life-cycle effects
- compulsory schooling
language:
- iso: eng
publisher: RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum,
TU Dortmund University, University of Duisburg-Essen
series_title: ' Ruhr Economic Papers'
status: public
title: Life-cycle health effects of compulsory schooling
type: working_paper
user_id: '53779'
volume: 1006
year: '2023'
...