---
_id: '35551'
author:
- first_name: Waqas
full_name: Ali, Waqas
last_name: Ali
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Bin
full_name: Yao, Bin
last_name: Yao
- first_name: Aidan
full_name: Hogan, Aidan
last_name: Hogan
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Ali W, Saleem M, Yao B, Hogan A, Ngonga Ngomo A-C. A survey of RDF stores &
SPARQL engines for querying knowledge graphs. VLDB J. 2022;31(3):1–26.
doi:10.1007/s00778-021-00711-3
apa: Ali, W., Saleem, M., Yao, B., Hogan, A., & Ngonga Ngomo, A.-C. (2022).
A survey of RDF stores & SPARQL engines for querying knowledge graphs. VLDB
J., 31(3), 1–26. https://doi.org/10.1007/s00778-021-00711-3
bibtex: '@article{Ali_Saleem_Yao_Hogan_Ngonga Ngomo_2022, title={A survey of RDF
stores & SPARQL engines for querying knowledge graphs}, volume={31}, DOI={10.1007/s00778-021-00711-3},
number={3}, journal={VLDB J.}, author={Ali, Waqas and Saleem, Muhammad and Yao,
Bin and Hogan, Aidan and Ngonga Ngomo, Axel-Cyrille}, year={2022}, pages={1–26}
}'
chicago: 'Ali, Waqas, Muhammad Saleem, Bin Yao, Aidan Hogan, and Axel-Cyrille Ngonga
Ngomo. “A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs.”
VLDB J. 31, no. 3 (2022): 1–26. https://doi.org/10.1007/s00778-021-00711-3.'
ieee: 'W. Ali, M. Saleem, B. Yao, A. Hogan, and A.-C. Ngonga Ngomo, “A survey of
RDF stores & SPARQL engines for querying knowledge graphs,” VLDB J.,
vol. 31, no. 3, pp. 1–26, 2022, doi: 10.1007/s00778-021-00711-3.'
mla: Ali, Waqas, et al. “A Survey of RDF Stores & SPARQL Engines for Querying
Knowledge Graphs.” VLDB J., vol. 31, no. 3, 2022, pp. 1–26, doi:10.1007/s00778-021-00711-3.
short: W. Ali, M. Saleem, B. Yao, A. Hogan, A.-C. Ngonga Ngomo, VLDB J. 31 (2022)
1–26.
date_created: 2023-01-09T15:58:50Z
date_updated: 2023-01-09T15:59:01Z
department:
- _id: '574'
doi: 10.1007/s00778-021-00711-3
intvolume: ' 31'
issue: '3'
language:
- iso: eng
page: 1–26
publication: VLDB J.
status: public
title: A survey of RDF stores & SPARQL engines for querying knowledge graphs
type: journal_article
user_id: '65716'
volume: 31
year: '2022'
...
---
_id: '35552'
author:
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Demir C, Ngonga Ngomo A-C. Hardware-agnostic computation for large-scale knowledge
graph embeddings. Softw Impacts. 2022;13:100377. doi:10.1016/j.simpa.2022.100377
apa: Demir, C., & Ngonga Ngomo, A.-C. (2022). Hardware-agnostic computation
for large-scale knowledge graph embeddings. Softw. Impacts, 13,
100377. https://doi.org/10.1016/j.simpa.2022.100377
bibtex: '@article{Demir_Ngonga Ngomo_2022, title={Hardware-agnostic computation
for large-scale knowledge graph embeddings}, volume={13}, DOI={10.1016/j.simpa.2022.100377},
journal={Softw. Impacts}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille},
year={2022}, pages={100377} }'
chicago: 'Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Hardware-Agnostic Computation
for Large-Scale Knowledge Graph Embeddings.” Softw. Impacts 13 (2022):
100377. https://doi.org/10.1016/j.simpa.2022.100377.'
ieee: 'C. Demir and A.-C. Ngonga Ngomo, “Hardware-agnostic computation for large-scale
knowledge graph embeddings,” Softw. Impacts, vol. 13, p. 100377, 2022,
doi: 10.1016/j.simpa.2022.100377.'
mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Hardware-Agnostic Computation
for Large-Scale Knowledge Graph Embeddings.” Softw. Impacts, vol. 13, 2022,
p. 100377, doi:10.1016/j.simpa.2022.100377.
short: C. Demir, A.-C. Ngonga Ngomo, Softw. Impacts 13 (2022) 100377.
date_created: 2023-01-09T15:59:24Z
date_updated: 2023-01-09T15:59:37Z
department:
- _id: '574'
doi: 10.1016/j.simpa.2022.100377
intvolume: ' 13'
language:
- iso: eng
page: '100377'
publication: Softw. Impacts
status: public
title: Hardware-agnostic computation for large-scale knowledge graph embeddings
type: journal_article
user_id: '65716'
volume: 13
year: '2022'
...
---
_id: '33957'
abstract:
- lang: eng
text: Manufacturing companies are challenged to make the increasingly complex work
processes equally manageable for all employees to prevent an impending loss of
competence. In this contribution, an intelligent assistance system is proposed
enabling employees to help themselves in the workplace and provide them with competence-related
support. This results in increasing the short- and long-term efficiency of problem
solving in companies.
author:
- first_name: Sahar
full_name: Deppe, Sahar
last_name: Deppe
- first_name: Lukas
full_name: Brandt, Lukas
last_name: Brandt
- first_name: Marc
full_name: Brünninghaus, Marc
last_name: Brünninghaus
- first_name: Jörg
full_name: Papenkordt, Jörg
id: '44648'
last_name: Papenkordt
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Gudrun
full_name: Tschirner-Vinke, Gudrun
last_name: Tschirner-Vinke
citation:
ama: Deppe S, Brandt L, Brünninghaus M, Papenkordt J, Heindorf S, Tschirner-Vinke
G. AI-Based Assistance System for Manufacturing. Published online 2022. doi:10.1109/ETFA52439.2022.9921520
apa: Deppe, S., Brandt, L., Brünninghaus, M., Papenkordt, J., Heindorf, S., &
Tschirner-Vinke, G. (2022). AI-Based Assistance System for Manufacturing.
ETFA, Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921520
bibtex: '@article{Deppe_Brandt_Brünninghaus_Papenkordt_Heindorf_Tschirner-Vinke_2022,
series={2022 IEEE 27th International Conference on Emerging Technologies and Factory
Automation (ETFA)}, title={AI-Based Assistance System for Manufacturing}, DOI={10.1109/ETFA52439.2022.9921520},
author={Deppe, Sahar and Brandt, Lukas and Brünninghaus, Marc and Papenkordt,
Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}, year={2022}, collection={2022
IEEE 27th International Conference on Emerging Technologies and Factory Automation
(ETFA)} }'
chicago: Deppe, Sahar, Lukas Brandt, Marc Brünninghaus, Jörg Papenkordt, Stefan
Heindorf, and Gudrun Tschirner-Vinke. “AI-Based Assistance System for Manufacturing.”
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation
(ETFA), 2022. https://doi.org/10.1109/ETFA52439.2022.9921520.
ieee: 'S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G.
Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: 10.1109/ETFA52439.2022.9921520.'
mla: Deppe, Sahar, et al. AI-Based Assistance System for Manufacturing. 2022,
doi:10.1109/ETFA52439.2022.9921520.
short: S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, G. Tschirner-Vinke,
(2022).
conference:
end_date: 2022-09-09
location: Stuttgart
name: ETFA
start_date: 2022-09-06
date_created: 2022-10-28T11:43:49Z
date_updated: 2023-11-23T08:07:51Z
department:
- _id: '178'
- _id: '574'
- _id: '184'
doi: 10.1109/ETFA52439.2022.9921520
keyword:
- Assistance system
- Knowledge graph
- Information retrieval
- Neural networks
- AR
language:
- iso: eng
project:
- _id: '409'
grant_number: 02L19C115
name: 'KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands
in OstWestfalenLippe'
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9921520
series_title: 2022 IEEE 27th International Conference on Emerging Technologies and
Factory Automation (ETFA)
status: public
title: AI-Based Assistance System for Manufacturing
type: conference
user_id: '44648'
year: '2022'
...
---
_id: '33740'
author:
- first_name: N'Dah Jean
full_name: KOUAGOU, N'Dah Jean
id: '87189'
last_name: KOUAGOU
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Learning Concept Lengths
Accelerates Concept Learning in ALC. In: The Semantic Web. Springer International
Publishing; 2022. doi:10.1007/978-3-031-06981-9_14'
apa: KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2022).
Learning Concept Lengths Accelerates Concept Learning in ALC. In The Semantic
Web. Springer International Publishing. https://doi.org/10.1007/978-3-031-06981-9_14
bibtex: '@inbook{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2022, place={Cham}, title={Learning
Concept Lengths Accelerates Concept Learning in ALC}, DOI={10.1007/978-3-031-06981-9_14},
booktitle={The Semantic Web}, publisher={Springer International Publishing}, author={KOUAGOU,
N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille},
year={2022} }'
chicago: 'KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga
Ngomo. “Learning Concept Lengths Accelerates Concept Learning in ALC.” In The
Semantic Web. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-06981-9_14.'
ieee: 'N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Learning Concept
Lengths Accelerates Concept Learning in ALC,” in The Semantic Web, Cham:
Springer International Publishing, 2022.'
mla: KOUAGOU, N’Dah Jean, et al. “Learning Concept Lengths Accelerates Concept Learning
in ALC.” The Semantic Web, Springer International Publishing, 2022, doi:10.1007/978-3-031-06981-9_14.
short: 'N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: The Semantic
Web, Springer International Publishing, Cham, 2022.'
date_created: 2022-10-15T19:34:41Z
date_updated: 2024-04-03T13:26:10Z
department:
- _id: '574'
- _id: '760'
doi: 10.1007/978-3-031-06981-9_14
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2107.04911
oa: '1'
place: Cham
publication: The Semantic Web
publication_identifier:
isbn:
- '9783031069802'
- '9783031069819'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-031-06981-9_14
status: public
title: Learning Concept Lengths Accelerates Concept Learning in ALC
type: book_chapter
user_id: '11871'
year: '2022'
...
---
_id: '29290'
abstract:
- lang: eng
text: "Classifying nodes in knowledge graphs is an important task, e.g., predicting\r\nmissing
types of entities, predicting which molecules cause cancer, or\r\npredicting which
drugs are promising treatment candidates. While black-box\r\nmodels often achieve
high predictive performance, they are only post-hoc and\r\nlocally explainable
and do not allow the learned model to be easily enriched\r\nwith domain knowledge.
Towards this end, learning description logic concepts\r\nfrom positive and negative
examples has been proposed. However, learning such\r\nconcepts often takes a long
time and state-of-the-art approaches provide\r\nlimited support for literal data
values, although they are crucial for many\r\napplications. In this paper, we
propose EvoLearner - an evolutionary approach\r\nto learn ALCQ(D), which is the
attributive language with complement (ALC)\r\npaired with qualified cardinality
restrictions (Q) and data properties (D). We\r\ncontribute a novel initialization
method for the initial population: starting\r\nfrom positive examples (nodes in
the knowledge graph), we perform biased random\r\nwalks and translate them to
description logic concepts. Moreover, we improve\r\nsupport for data properties
by maximizing information gain when deciding where\r\nto split the data. We show
that our approach significantly outperforms the\r\nstate of the art on the benchmarking
framework SML-Bench for structured machine\r\nlearning. Our ablation study confirms
that this is due to our novel\r\ninitialization method and support for data properties."
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Lukas
full_name: Blübaum, Lukas
last_name: Blübaum
- first_name: Nick
full_name: Düsterhus, Nick
last_name: Düsterhus
- first_name: Till
full_name: Werner, Till
last_name: Werner
- first_name: Varun Nandkumar
full_name: Golani, Varun Nandkumar
last_name: Golani
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Heindorf S, Blübaum L, Düsterhus N, et al. EvoLearner: Learning Description
Logics with Evolutionary Algorithms. In: WWW. ACM; 2022:818-828. doi:10.1145/3485447.3511925'
apa: 'Heindorf, S., Blübaum, L., Düsterhus, N., Werner, T., Golani, V. N., Demir,
C., & Ngonga Ngomo, A.-C. (2022). EvoLearner: Learning Description Logics
with Evolutionary Algorithms. WWW, 818–828. https://doi.org/10.1145/3485447.3511925'
bibtex: '@inproceedings{Heindorf_Blübaum_Düsterhus_Werner_Golani_Demir_Ngonga Ngomo_2022,
title={EvoLearner: Learning Description Logics with Evolutionary Algorithms},
DOI={10.1145/3485447.3511925},
booktitle={WWW}, publisher={ACM}, author={Heindorf, Stefan and Blübaum, Lukas
and Düsterhus, Nick and Werner, Till and Golani, Varun Nandkumar and Demir, Caglar
and Ngonga Ngomo, Axel-Cyrille}, year={2022}, pages={818–828} }'
chicago: 'Heindorf, Stefan, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar
Golani, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “EvoLearner: Learning Description
Logics with Evolutionary Algorithms.” In WWW, 818–28. ACM, 2022. https://doi.org/10.1145/3485447.3511925.'
ieee: 'S. Heindorf et al., “EvoLearner: Learning Description Logics with
Evolutionary Algorithms,” in WWW, 2022, pp. 818–828, doi: 10.1145/3485447.3511925.'
mla: 'Heindorf, Stefan, et al. “EvoLearner: Learning Description Logics with Evolutionary
Algorithms.” WWW, ACM, 2022, pp. 818–28, doi:10.1145/3485447.3511925.'
short: 'S. Heindorf, L. Blübaum, N. Düsterhus, T. Werner, V.N. Golani, C. Demir,
A.-C. Ngonga Ngomo, in: WWW, ACM, 2022, pp. 818–828.'
date_created: 2022-01-12T10:22:53Z
date_updated: 2024-05-26T19:13:09Z
department:
- _id: '574'
doi: 10.1145/3485447.3511925
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2111.04879
oa: '1'
page: 818-828
publication: WWW
publisher: ACM
status: public
title: 'EvoLearner: Learning Description Logics with Evolutionary Algorithms'
type: conference
user_id: '11871'
year: '2022'
...
---
_id: '29851'
author:
- first_name: 'Svetlana '
full_name: 'Pestryakova, Svetlana '
last_name: Pestryakova
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- 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: 'Pestryakova S, Vollmers D, Sherif M, et al. CovidPubGraph: A FAIR Knowledge
Graph of COVID-19 Publications. Scientific Data. Published online 2022.
doi:10.1038/s41597-022-01298-2'
apa: 'Pestryakova, S., Vollmers, D., Sherif, M., Heindorf, S., Saleem, M., Moussallem,
D., & Ngonga Ngomo, A.-C. (2022). CovidPubGraph: A FAIR Knowledge Graph of
COVID-19 Publications. Scientific Data. https://doi.org/10.1038/s41597-022-01298-2'
bibtex: '@article{Pestryakova_Vollmers_Sherif_Heindorf_Saleem_Moussallem_Ngonga
Ngomo_2022, title={CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications},
DOI={10.1038/s41597-022-01298-2},
journal={Scientific Data}, author={Pestryakova, Svetlana and Vollmers, Daniel
and Sherif, Mohamed and Heindorf, Stefan and Saleem, Muhammad and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille}, year={2022} }'
chicago: 'Pestryakova, Svetlana , Daniel Vollmers, Mohamed Sherif, Stefan Heindorf,
Muhammad Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “CovidPubGraph:
A FAIR Knowledge Graph of COVID-19 Publications.” Scientific Data, 2022.
https://doi.org/10.1038/s41597-022-01298-2.'
ieee: 'S. Pestryakova et al., “CovidPubGraph: A FAIR Knowledge Graph of COVID-19
Publications,” Scientific Data, 2022, doi: 10.1038/s41597-022-01298-2.'
mla: 'Pestryakova, Svetlana, et al. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19
Publications.” Scientific Data, 2022, doi:10.1038/s41597-022-01298-2.'
short: S. Pestryakova, D. Vollmers, M. Sherif, S. Heindorf, M. Saleem, D. Moussallem,
A.-C. Ngonga Ngomo, Scientific Data (2022).
date_created: 2022-02-15T16:59:29Z
date_updated: 2024-05-26T19:14:21Z
department:
- _id: '574'
doi: 10.1038/s41597-022-01298-2
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2022/NSDJ_CovidPubGraph/public.pdf
oa: '1'
publication: Scientific Data
status: public
title: 'CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications'
type: journal_article
user_id: '11871'
year: '2022'
...
---
_id: '34674'
abstract:
- lang: eng
text: 'Smart home systems contain plenty of features that enhance wellbeing in everyday
life through artificial intelligence (AI). However, many users feel insecure because
they do not understand the AI’s functionality and do not feel they are in control
of it. Combining technical, psychological and philosophical views on AI, we rethink
smart homes as interactive systems where users can partake in an intelligent agent’s
learning. Parallel to the goals of explainable AI (XAI), we explored the possibility
of user involvement in supervised learning of the smart home to have a first approach
to improve acceptance, support subjective understanding and increase perceived
control. In this work, we conducted two studies: In an online pre-study, we asked
participants about their attitude towards teaching AI via a questionnaire. In
the main study, we performed a Wizard of Oz laboratory experiment with human participants,
where participants spent time in a prototypical smart home and taught activity
recognition to the intelligent agent through supervised learning based on the
user’s behaviour. We found that involvement in the AI’s learning phase enhanced
the users’ feeling of control, perceived understanding and perceived usefulness
of AI in general. The participants reported positive attitudes towards training
a smart home AI and found the process understandable and controllable. We suggest
that involving the user in the learning phase could lead to better personalisation
and increased understanding and control by users of intelligent agents for smart
home automation.'
alternative_title:
- Increasing Perceived Control and Understanding
author:
- first_name: Leonie Nora
full_name: Sieger, Leonie Nora
id: '93402'
last_name: Sieger
- first_name: Julia
full_name: Hermann, Julia
last_name: Hermann
- first_name: Astrid
full_name: Schomäcker, Astrid
last_name: Schomäcker
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Christian
full_name: Meske, Christian
last_name: Meske
- first_name: Celine-Chiara
full_name: Hey, Celine-Chiara
last_name: Hey
- first_name: Ayşegül
full_name: Doğangün, Ayşegül
last_name: Doğangün
citation:
ama: 'Sieger LN, Hermann J, Schomäcker A, et al. User Involvement in Training Smart
Home Agents. In: International Conference on Human-Agent Interaction. ACM;
2022. doi:10.1145/3527188.3561914'
apa: 'Sieger, L. N., Hermann, J., Schomäcker, A., Heindorf, S., Meske, C., Hey,
C.-C., & Doğangün, A. (2022). User Involvement in Training Smart Home Agents.
International Conference on Human-Agent Interaction. HAI ’22: International
Conference on Human-Agent Interaction, Christchurch, New Zealand. https://doi.org/10.1145/3527188.3561914'
bibtex: '@inproceedings{Sieger_Hermann_Schomäcker_Heindorf_Meske_Hey_Doğangün_2022,
title={User Involvement in Training Smart Home Agents}, DOI={10.1145/3527188.3561914},
booktitle={International Conference on Human-Agent Interaction}, publisher={ACM},
author={Sieger, Leonie Nora and Hermann, Julia and Schomäcker, Astrid and Heindorf,
Stefan and Meske, Christian and Hey, Celine-Chiara and Doğangün, Ayşegül}, year={2022}
}'
chicago: Sieger, Leonie Nora, Julia Hermann, Astrid Schomäcker, Stefan Heindorf,
Christian Meske, Celine-Chiara Hey, and Ayşegül Doğangün. “User Involvement in
Training Smart Home Agents.” In International Conference on Human-Agent Interaction.
ACM, 2022. https://doi.org/10.1145/3527188.3561914.
ieee: 'L. N. Sieger et al., “User Involvement in Training Smart Home Agents,”
presented at the HAI ’22: International Conference on Human-Agent Interaction,
Christchurch, New Zealand, 2022, doi: 10.1145/3527188.3561914.'
mla: Sieger, Leonie Nora, et al. “User Involvement in Training Smart Home Agents.”
International Conference on Human-Agent Interaction, ACM, 2022, doi:10.1145/3527188.3561914.
short: 'L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey,
A. Doğangün, in: International Conference on Human-Agent Interaction, ACM, 2022.'
conference:
end_date: 2022-12-08
location: Christchurch, New Zealand
name: 'HAI ''22: International Conference on Human-Agent Interaction'
start_date: 2022-12-05
date_created: 2022-12-21T09:48:43Z
date_updated: 2024-05-30T18:04:45Z
ddc:
- '000'
department:
- _id: '574'
- _id: '760'
doi: 10.1145/3527188.3561914
file:
- access_level: closed
content_type: application/pdf
creator: heindorf
date_created: 2024-05-30T18:04:31Z
date_updated: 2024-05-30T18:04:31Z
file_id: '54524'
file_name: User_Involvement_in_Training_Smart_Home_Agents_public.pdf
file_size: 1151728
relation: main_file
success: 1
file_date_updated: 2024-05-30T18:04:31Z
has_accepted_license: '1'
keyword:
- human-agent interaction
- smart homes
- supervised learning
- participation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2022/HAI_SmartHome/User_Involvement_in_Training_Smart_Home_Agents_public.pdf
oa: '1'
project:
- _id: '121'
grant_number: '438445824'
name: 'TRR 318 - B1: TRR 318 - Subproject B1'
publication: International Conference on Human-Agent Interaction
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: User Involvement in Training Smart Home Agents
type: conference
user_id: '11871'
year: '2022'
...
---
_id: '54585'
author:
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
- 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: 'Manzoor A, Saleem M, Ngonga Ngomo A-C. REBench: Microbenchmarking Framework
for Relation Extraction Systems. In: The Semantic Web – ISWC 2022. Springer
International Publishing; 2022. doi:10.1007/978-3-031-19433-7_37'
apa: 'Manzoor, A., Saleem, M., & Ngonga Ngomo, A.-C. (2022). REBench: Microbenchmarking
Framework for Relation Extraction Systems. In The Semantic Web – ISWC 2022.
Springer International Publishing. https://doi.org/10.1007/978-3-031-19433-7_37'
bibtex: '@inbook{Manzoor_Saleem_Ngonga Ngomo_2022, place={Cham}, title={REBench:
Microbenchmarking Framework for Relation Extraction Systems}, DOI={10.1007/978-3-031-19433-7_37},
booktitle={The Semantic Web – ISWC 2022}, publisher={Springer International Publishing},
author={Manzoor, Ali and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2022}
}'
chicago: 'Manzoor, Ali, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “REBench:
Microbenchmarking Framework for Relation Extraction Systems.” In The Semantic
Web – ISWC 2022. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-19433-7_37.'
ieee: 'A. Manzoor, M. Saleem, and A.-C. Ngonga Ngomo, “REBench: Microbenchmarking
Framework for Relation Extraction Systems,” in The Semantic Web – ISWC 2022,
Cham: Springer International Publishing, 2022.'
mla: 'Manzoor, Ali, et al. “REBench: Microbenchmarking Framework for Relation Extraction
Systems.” The Semantic Web – ISWC 2022, Springer International Publishing,
2022, doi:10.1007/978-3-031-19433-7_37.'
short: 'A. Manzoor, M. Saleem, A.-C. Ngonga Ngomo, in: The Semantic Web – ISWC 2022,
Springer International Publishing, Cham, 2022.'
date_created: 2024-06-04T12:21:30Z
date_updated: 2024-06-04T12:24:49Z
department:
- _id: '574'
doi: 10.1007/978-3-031-19433-7_37
language:
- iso: eng
place: Cham
publication: The Semantic Web – ISWC 2022
publication_identifier:
isbn:
- '9783031194320'
- '9783031194337'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: 'REBench: Microbenchmarking Framework for Relation Extraction Systems'
type: book_chapter
user_id: '77309'
year: '2022'
...
---
_id: '33738'
author:
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Stefan
full_name: Balke, Stefan
last_name: Balke
- first_name: Jonas
full_name: Haupt, Jonas
last_name: Haupt
- first_name: Martin
full_name: Voigt, Martin
last_name: Voigt
- first_name: Carolin
full_name: Walter, Carolin
last_name: Walter
- first_name: Fabian
full_name: Witter, Fabian
last_name: Witter
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Zahera HMA, Heindorf S, Balke S, et al. Tab2Onto: Unsupervised Semantification
with Knowledge Graph Embeddings. In: The Semantic Web: ESWC 2022 Satellite
Events. Springer International Publishing; 2022. doi:10.1007/978-3-031-11609-4_9'
apa: 'Zahera, H. M. A., Heindorf, S., Balke, S., Haupt, J., Voigt, M., Walter, C.,
Witter, F., & Ngonga Ngomo, A.-C. (2022). Tab2Onto: Unsupervised Semantification
with Knowledge Graph Embeddings. In The Semantic Web: ESWC 2022 Satellite Events.
Springer International Publishing. https://doi.org/10.1007/978-3-031-11609-4_9'
bibtex: '@inbook{Zahera_Heindorf_Balke_Haupt_Voigt_Walter_Witter_Ngonga Ngomo_2022,
place={Cham}, title={Tab2Onto: Unsupervised Semantification with Knowledge Graph
Embeddings}, DOI={10.1007/978-3-031-11609-4_9},
booktitle={The Semantic Web: ESWC 2022 Satellite Events}, publisher={Springer
International Publishing}, author={Zahera, Hamada Mohamed Abdelsamee and Heindorf,
Stefan and Balke, Stefan and Haupt, Jonas and Voigt, Martin and Walter, Carolin
and Witter, Fabian and Ngonga Ngomo, Axel-Cyrille}, year={2022} }'
chicago: 'Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, Stefan Balke, Jonas
Haupt, Martin Voigt, Carolin Walter, Fabian Witter, and Axel-Cyrille Ngonga Ngomo.
“Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.” In The
Semantic Web: ESWC 2022 Satellite Events. Cham: Springer International Publishing,
2022. https://doi.org/10.1007/978-3-031-11609-4_9.'
ieee: 'H. M. A. Zahera et al., “Tab2Onto: Unsupervised Semantification with
Knowledge Graph Embeddings,” in The Semantic Web: ESWC 2022 Satellite Events,
Cham: Springer International Publishing, 2022.'
mla: 'Zahera, Hamada Mohamed Abdelsamee, et al. “Tab2Onto: Unsupervised Semantification
with Knowledge Graph Embeddings.” The Semantic Web: ESWC 2022 Satellite Events,
Springer International Publishing, 2022, doi:10.1007/978-3-031-11609-4_9.'
short: 'H.M.A. Zahera, S. Heindorf, S. Balke, J. Haupt, M. Voigt, C. Walter, F.
Witter, A.-C. Ngonga Ngomo, in: The Semantic Web: ESWC 2022 Satellite Events,
Springer International Publishing, Cham, 2022.'
date_created: 2022-10-15T19:25:42Z
date_updated: 2023-06-23T09:20:20Z
department:
- _id: '574'
doi: 10.1007/978-3-031-11609-4_9
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://2022.eswc-conferences.org/wp-content/uploads/2022/05/pd_Zahera_et_al_paper_230.pdf
oa: '1'
place: Cham
publication: 'The Semantic Web: ESWC 2022 Satellite Events'
publication_identifier:
isbn:
- '9783031116087'
- '9783031116094'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: 'Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings'
type: book_chapter
user_id: '72768'
year: '2022'
...
---
_id: '33739'
abstract:
- lang: eng
text: At least 5% of questions submitted to search engines ask about cause-effect
relationships in some way. To support the development of tailored approaches that
can answer such questions, we construct Webis-CausalQA-22, a benchmark corpus
of 1.1 million causal questions with answers. We distinguish different types of
causal questions using a novel typology derived from a data-driven, manual analysis
of questions from ten large question answering (QA) datasets. Using high-precision
lexical rules, we extract causal questions of each type from these datasets to
create our corpus. As an initial baseline, the state-of-the-art QA model UnifiedQA
achieves a ROUGE-L F1 score of 0.48 on our new benchmark.
author:
- first_name: Alexander
full_name: Bondarenko, Alexander
last_name: Bondarenko
- first_name: Magdalena
full_name: Wolska, Magdalena
last_name: Wolska
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Lukas
full_name: Blübaum, Lukas
last_name: Blübaum
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Pavel
full_name: Braslavski, Pavel
last_name: Braslavski
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Bondarenko A, Wolska M, Heindorf S, et al. CausalQA: A Benchmark for Causal
Question Answering. In: Proceedings of the 29th International Conference on
Computational Linguistics. International Committee on Computational Linguistics;
2022:3296–3308.'
apa: 'Bondarenko, A., Wolska, M., Heindorf, S., Blübaum, L., Ngonga Ngomo, A.-C.,
Stein, B., Braslavski, P., Hagen, M., & Potthast, M. (2022). CausalQA: A Benchmark
for Causal Question Answering. Proceedings of the 29th International Conference
on Computational Linguistics, 3296–3308.'
bibtex: '@inproceedings{Bondarenko_Wolska_Heindorf_Blübaum_Ngonga Ngomo_Stein_Braslavski_Hagen_Potthast_2022,
place={Gyeongju, Republic of Korea}, title={CausalQA: A Benchmark for Causal Question
Answering}, booktitle={Proceedings of the 29th International Conference on Computational
Linguistics}, publisher={International Committee on Computational Linguistics},
author={Bondarenko, Alexander and Wolska, Magdalena and Heindorf, Stefan and Blübaum,
Lukas and Ngonga Ngomo, Axel-Cyrille and Stein, Benno and Braslavski, Pavel and
Hagen, Matthias and Potthast, Martin}, year={2022}, pages={3296–3308} }'
chicago: 'Bondarenko, Alexander, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum,
Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, and
Martin Potthast. “CausalQA: A Benchmark for Causal Question Answering.” In Proceedings
of the 29th International Conference on Computational Linguistics, 3296–3308.
Gyeongju, Republic of Korea: International Committee on Computational Linguistics,
2022.'
ieee: 'A. Bondarenko et al., “CausalQA: A Benchmark for Causal Question Answering,”
in Proceedings of the 29th International Conference on Computational Linguistics,
2022, pp. 3296–3308.'
mla: 'Bondarenko, Alexander, et al. “CausalQA: A Benchmark for Causal Question Answering.”
Proceedings of the 29th International Conference on Computational Linguistics,
International Committee on Computational Linguistics, 2022, pp. 3296–3308.'
short: 'A. Bondarenko, M. Wolska, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, B.
Stein, P. Braslavski, M. Hagen, M. Potthast, in: Proceedings of the 29th International
Conference on Computational Linguistics, International Committee on Computational
Linguistics, Gyeongju, Republic of Korea, 2022, pp. 3296–3308.'
date_created: 2022-10-15T19:33:10Z
date_updated: 2023-07-02T18:14:01Z
department:
- _id: '574'
- _id: '760'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2022.coling-1.291.pdf
oa: '1'
page: 3296–3308
place: Gyeongju, Republic of Korea
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 29th International Conference on Computational Linguistics
publisher: International Committee on Computational Linguistics
status: public
title: 'CausalQA: A Benchmark for Causal Question Answering'
type: conference
user_id: '11871'
year: '2022'
...
---
_id: '34640'
article_type: original
author:
- first_name: Franziska Margarete
full_name: Schloots, Franziska Margarete
id: '33185'
last_name: Schloots
citation:
ama: Schloots FM. Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten
Körperdaten. Rabbit Eye - Zeitschrift für Filmforschung. 2022;12:65-77.
apa: Schloots, F. M. (2022). Die Tamagotchisierung des Selbst. Zur Anschaulichkeit
von animierten Körperdaten. Rabbit Eye - Zeitschrift für Filmforschung,
12, 65–77.
bibtex: '@article{Schloots_2022, title={Die Tamagotchisierung des Selbst. Zur Anschaulichkeit
von animierten Körperdaten}, volume={12}, journal={Rabbit Eye - Zeitschrift für
Filmforschung}, author={Schloots, Franziska Margarete}, year={2022}, pages={65–77}
}'
chicago: 'Schloots, Franziska Margarete. “Die Tamagotchisierung des Selbst. Zur
Anschaulichkeit von animierten Körperdaten.” Rabbit Eye - Zeitschrift für Filmforschung
12 (2022): 65–77.'
ieee: F. M. Schloots, “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von
animierten Körperdaten,” Rabbit Eye - Zeitschrift für Filmforschung, vol.
12, pp. 65–77, 2022.
mla: Schloots, Franziska Margarete. “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit
von animierten Körperdaten.” Rabbit Eye - Zeitschrift für Filmforschung,
vol. 12, 2022, pp. 65–77.
short: F.M. Schloots, Rabbit Eye - Zeitschrift für Filmforschung 12 (2022) 65–77.
date_created: 2022-12-21T09:01:06Z
date_updated: 2024-10-09T14:24:11Z
ddc:
- '040'
department:
- _id: '574'
external_id:
pmid:
- '36393995'
file:
- access_level: closed
content_type: application/pdf
creator: fms
date_created: 2023-01-19T14:12:55Z
date_updated: 2023-01-19T14:12:55Z
file_id: '37608'
file_name: schloots_tamagotchisierung.pdf
file_size: 377601
relation: main_file
success: 1
file_date_updated: 2023-01-19T14:12:55Z
has_accepted_license: '1'
intvolume: ' 12'
keyword:
- Wearable
- selft-tracking
- Selbstvermessung
- Animation
- Tamagotchi
- Anschaulichkeit
language:
- iso: ger
page: 65-77
pmid: '1'
publication: Rabbit Eye - Zeitschrift für Filmforschung
publication_identifier:
issn:
- 2192-5445
publication_status: published
status: public
title: Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten
type: journal_article
user_id: '33185'
volume: 12
year: '2022'
...
---
_id: '34614'
abstract:
- lang: ger
text: "Mit steigenden Optimierungsanforderungen an das Individuum wächst auch das
indivi-\r\nduelle Bedürfnis nach Kontrolle. Dieses kann u. a. durch self tracking-Technologien
erfüllt werden.\r\nAnhand von drei Fallbeispielen – der Personenwaage, dem Wearable
und dem habit tracker – zeigt\r\ndieser Aufsatz, wie sich medienbasierte Selbsttechnologien
im historischen Verlauf intensiviert und\r\nstärker in den Alltag integriert haben.
Ein besonderer Fokus liegt dabei auf der Ambivalenz dieser\r\nMedien: Ermöglichen
sie auf der einen Seite zwar eine Selbstkontrolle und stellen so potenziell sta-\r\nbilisierende
Ressourcen für das Individuum dar, schaffen sie auf der anderen Seite auch neue\r\nAnforderungen,
die es zu erfüllen gilt."
article_type: original
author:
- first_name: Franziska Margarete
full_name: Schloots, Franziska Margarete
id: '33185'
last_name: Schloots
orcid: 0009-0008-9673-2615
citation:
ama: Schloots FM. ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage,
Wearable und habit tracker. ffk Journal. 2022;6(7):74-91. doi:10.25969/MEDIAREP/18238
apa: Schloots, F. M. (2022). ‚Understand what’s happening within‘. Selbstkontrolle
mit Personenwaage, Wearable und habit tracker. ffk Journal, 6(7),
74–91. https://doi.org/10.25969/MEDIAREP/18238
bibtex: '@article{Schloots_2022, title={‚Understand what’s happening within‘. Selbstkontrolle
mit Personenwaage, Wearable und habit tracker}, volume={6}, DOI={10.25969/MEDIAREP/18238},
number={7}, journal={ffk Journal}, author={Schloots, Franziska Margarete}, year={2022},
pages={74–91} }'
chicago: 'Schloots, Franziska Margarete. “‚Understand what’s happening within‘.
Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” ffk Journal
6, no. 7 (2022): 74–91. https://doi.org/10.25969/MEDIAREP/18238.'
ieee: 'F. M. Schloots, “‚Understand what’s happening within‘. Selbstkontrolle mit
Personenwaage, Wearable und habit tracker,” ffk Journal, vol. 6, no. 7,
pp. 74–91, 2022, doi: 10.25969/MEDIAREP/18238.'
mla: Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle
mit Personenwaage, Wearable und habit tracker.” ffk Journal, vol. 6, no.
7, 2022, pp. 74–91, doi:10.25969/MEDIAREP/18238.
short: F.M. Schloots, ffk Journal 6 (2022) 74–91.
date_created: 2022-12-20T14:20:56Z
date_updated: 2024-11-22T10:09:55Z
ddc:
- '040'
department:
- _id: '574'
doi: 10.25969/MEDIAREP/18238
file:
- access_level: closed
content_type: application/pdf
creator: fms
date_created: 2022-12-20T14:23:57Z
date_updated: 2022-12-20T14:23:57Z
file_id: '34616'
file_name: ffk_journal_07_74-91_Schloots_Selbstkontrolle_.pdf
file_size: 530069
relation: main_file
success: 1
file_date_updated: 2022-12-20T14:23:57Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '7'
keyword:
- self-tracking
- Selbsttechnologien
- Wearable
- Bullet Journal
- Personenwaage
- Selbstvermessung
language:
- iso: ger
page: 74-91
publication: ffk Journal
publication_status: published
status: public
title: ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable
und habit tracker
type: journal_article
user_id: '33185'
volume: 6
year: '2022'
...
---
_id: '24721'
author:
- first_name: Abdullah
full_name: Fathi Ahmed, Abdullah
last_name: Fathi Ahmed
- first_name: Mohamed
full_name: Ahmed Sherif, Mohamed
last_name: Ahmed Sherif
- 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: Fathi Ahmed A, Ahmed Sherif M, Moussallem D, Ngonga Ngomo A-C. Multilingual
Verbalization and Summarization for Explainable Link Discovery. Data Knowl
Eng. 2021;133:101874. doi:10.1016/j.datak.2021.101874
apa: Fathi Ahmed, A., Ahmed Sherif, M., Moussallem, D., & Ngonga Ngomo, A.-C.
(2021). Multilingual Verbalization and Summarization for Explainable Link Discovery.
Data Knowl. Eng., 133, 101874. https://doi.org/10.1016/j.datak.2021.101874
bibtex: '@article{Fathi Ahmed_Ahmed Sherif_Moussallem_Ngonga Ngomo_2021, title={Multilingual
Verbalization and Summarization for Explainable Link Discovery}, volume={133},
DOI={10.1016/j.datak.2021.101874},
journal={Data Knowl. Eng.}, author={Fathi Ahmed, Abdullah and Ahmed Sherif, Mohamed
and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={101874}
}'
chicago: 'Fathi Ahmed, Abdullah, Mohamed Ahmed Sherif, Diego Moussallem, and Axel-Cyrille
Ngonga Ngomo. “Multilingual Verbalization and Summarization for Explainable Link
Discovery.” Data Knowl. Eng. 133 (2021): 101874. https://doi.org/10.1016/j.datak.2021.101874.'
ieee: 'A. Fathi Ahmed, M. Ahmed Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “Multilingual
Verbalization and Summarization for Explainable Link Discovery,” Data Knowl.
Eng., vol. 133, p. 101874, 2021, doi: 10.1016/j.datak.2021.101874.'
mla: Fathi Ahmed, Abdullah, et al. “Multilingual Verbalization and Summarization
for Explainable Link Discovery.” Data Knowl. Eng., vol. 133, 2021, p. 101874,
doi:10.1016/j.datak.2021.101874.
short: A. Fathi Ahmed, M. Ahmed Sherif, D. Moussallem, A.-C. Ngonga Ngomo, Data
Knowl. Eng. 133 (2021) 101874.
date_created: 2021-09-20T13:04:11Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1016/j.datak.2021.101874
intvolume: ' 133'
language:
- iso: eng
page: '101874'
publication: Data Knowl. Eng.
status: public
title: Multilingual Verbalization and Summarization for Explainable Link Discovery
type: journal_article
user_id: '65716'
volume: 133
year: '2021'
...
---
_id: '24722'
author:
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Philip
full_name: Frerk, Philip
last_name: Frerk
- first_name: Felix
full_name: Conrads, Felix
last_name: Conrads
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Röder M, Frerk P, Conrads F, Ngonga Ngomo A-C. Applying Grammar-Based Compression
to RDF. In: Verborgh R, Hose K, Paulheim H, et al., eds. The Semantic Web -
18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings.
Vol 12731. Lecture Notes in Computer Science. Springer; 2021:93-108. doi:10.1007/978-3-030-77385-4\_6'
apa: Röder, M., Frerk, P., Conrads, F., & Ngonga Ngomo, A.-C. (2021). Applying
Grammar-Based Compression to RDF. In R. Verborgh, K. Hose, H. Paulheim, P.-A.
Champin, M. Maleshkova, O. Corcho, P. Ristoski, & M. Alam (Eds.), The Semantic
Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021,
Proceedings (Vol. 12731, pp. 93–108). Springer. https://doi.org/10.1007/978-3-030-77385-4\_6
bibtex: '@inproceedings{Röder_Frerk_Conrads_Ngonga Ngomo_2021, series={Lecture Notes
in Computer Science}, title={Applying Grammar-Based Compression to RDF}, volume={12731},
DOI={10.1007/978-3-030-77385-4\_6},
booktitle={The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual
Event, June 6-10, 2021, Proceedings}, publisher={Springer}, author={Röder, Michael
and Frerk, Philip and Conrads, Felix and Ngonga Ngomo, Axel-Cyrille}, editor={Verborgh,
Ruben and Hose, Katja and Paulheim, Heiko and Champin, Pierre-Antoine and Maleshkova,
Maria and Corcho, Oscar and Ristoski, Petar and Alam, Mehwish}, year={2021}, pages={93–108},
collection={Lecture Notes in Computer Science} }'
chicago: Röder, Michael, Philip Frerk, Felix Conrads, and Axel-Cyrille Ngonga Ngomo.
“Applying Grammar-Based Compression to RDF.” In The Semantic Web - 18th International
Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings, edited
by Ruben Verborgh, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova,
Oscar Corcho, Petar Ristoski, and Mehwish Alam, 12731:93–108. Lecture Notes in
Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-77385-4\_6.
ieee: 'M. Röder, P. Frerk, F. Conrads, and A.-C. Ngonga Ngomo, “Applying Grammar-Based
Compression to RDF,” in The Semantic Web - 18th International Conference, {ESWC}
2021, Virtual Event, June 6-10, 2021, Proceedings, 2021, vol. 12731, pp. 93–108,
doi: 10.1007/978-3-030-77385-4\_6.'
mla: Röder, Michael, et al. “Applying Grammar-Based Compression to RDF.” The
Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June
6-10, 2021, Proceedings, edited by Ruben Verborgh et al., vol. 12731, Springer,
2021, pp. 93–108, doi:10.1007/978-3-030-77385-4\_6.
short: 'M. Röder, P. Frerk, F. Conrads, A.-C. Ngonga Ngomo, in: R. Verborgh, K.
Hose, H. Paulheim, P.-A. Champin, M. Maleshkova, O. Corcho, P. Ristoski, M. Alam
(Eds.), The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual
Event, June 6-10, 2021, Proceedings, Springer, 2021, pp. 93–108.'
date_created: 2021-09-20T13:07:40Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1007/978-3-030-77385-4\_6
editor:
- first_name: Ruben
full_name: Verborgh, Ruben
last_name: Verborgh
- first_name: Katja
full_name: Hose, Katja
last_name: Hose
- first_name: Heiko
full_name: Paulheim, Heiko
last_name: Paulheim
- first_name: Pierre-Antoine
full_name: Champin, Pierre-Antoine
last_name: Champin
- first_name: Maria
full_name: Maleshkova, Maria
last_name: Maleshkova
- first_name: Oscar
full_name: Corcho, Oscar
last_name: Corcho
- first_name: Petar
full_name: Ristoski, Petar
last_name: Ristoski
- first_name: Mehwish
full_name: Alam, Mehwish
last_name: Alam
intvolume: ' 12731'
language:
- iso: eng
page: 93-108
publication: The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual
Event, June 6-10, 2021, Proceedings
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Applying Grammar-Based Compression to RDF
type: conference
user_id: '65716'
volume: 12731
year: '2021'
...
---
_id: '24723'
author:
- first_name: Manzoor
full_name: Ali, Manzoor
last_name: Ali
- 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: 'Ali M, Saleem M, Ngonga Ngomo A-C. Unsupervised Relation Extraction Using
Sentence Encoding. In: Verborgh R, Dimou A, Hogan A, et al., eds. The Semantic
Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected
Papers. Vol 12739. Lecture Notes in Computer Science. Springer; 2021:136-140.
doi:10.1007/978-3-030-80418-3\_25'
apa: 'Ali, M., Saleem, M., & Ngonga Ngomo, A.-C. (2021). Unsupervised Relation
Extraction Using Sentence Encoding. In R. Verborgh, A. Dimou, A. Hogan, C. d’Amato,
I. Tiddi, A. Br{\"{o}}ring, S. Maier, F. Ongenae, R. Tommasini, & M. Alam
(Eds.), The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers (Vol. 12739, pp. 136–140). Springer. https://doi.org/10.1007/978-3-030-80418-3\_25'
bibtex: '@inproceedings{Ali_Saleem_Ngonga Ngomo_2021, series={Lecture Notes in Computer
Science}, title={Unsupervised Relation Extraction Using Sentence Encoding}, volume={12739},
DOI={10.1007/978-3-030-80418-3\_25},
booktitle={The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers}, publisher={Springer}, author={Ali, Manzoor
and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, editor={Verborgh, Ruben
and Dimou, Anastasia and Hogan, Aidan and d’Amato, Claudia and Tiddi, Ilaria and
Br{\"{o}}ring, Arne and Maier, Simon and Ongenae, Femke and Tommasini, Riccardo
and Alam, Mehwish}, year={2021}, pages={136–140}, collection={Lecture Notes in
Computer Science} }'
chicago: 'Ali, Manzoor, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Unsupervised
Relation Extraction Using Sentence Encoding.” In The Semantic Web: {ESWC} 2021
Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers,
edited by Ruben Verborgh, Anastasia Dimou, Aidan Hogan, Claudia d’Amato, Ilaria
Tiddi, Arne Br{\"{o}}ring, Simon Maier, Femke Ongenae, Riccardo Tommasini, and
Mehwish Alam, 12739:136–40. Lecture Notes in Computer Science. Springer, 2021.
https://doi.org/10.1007/978-3-030-80418-3\_25.'
ieee: 'M. Ali, M. Saleem, and A.-C. Ngonga Ngomo, “Unsupervised Relation Extraction
Using Sentence Encoding,” in The Semantic Web: {ESWC} 2021 Satellite Events
- Virtual Event, June 6-10, 2021, Revised Selected Papers, 2021, vol. 12739,
pp. 136–140, doi: 10.1007/978-3-030-80418-3\_25.'
mla: 'Ali, Manzoor, et al. “Unsupervised Relation Extraction Using Sentence Encoding.”
The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10,
2021, Revised Selected Papers, edited by Ruben Verborgh et al., vol. 12739,
Springer, 2021, pp. 136–40, doi:10.1007/978-3-030-80418-3\_25.'
short: 'M. Ali, M. Saleem, A.-C. Ngonga Ngomo, in: R. Verborgh, A. Dimou, A. Hogan,
C. d’Amato, I. Tiddi, A. Br{\"{o}}ring, S. Maier, F. Ongenae, R. Tommasini, M.
Alam (Eds.), The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers, Springer, 2021, pp. 136–140.'
date_created: 2021-09-20T13:12:07Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1007/978-3-030-80418-3\_25
editor:
- first_name: Ruben
full_name: Verborgh, Ruben
last_name: Verborgh
- first_name: Anastasia
full_name: Dimou, Anastasia
last_name: Dimou
- first_name: Aidan
full_name: Hogan, Aidan
last_name: Hogan
- first_name: Claudia
full_name: d'Amato, Claudia
last_name: d'Amato
- first_name: Ilaria
full_name: Tiddi, Ilaria
last_name: Tiddi
- first_name: Arne
full_name: Br{\"{o}}ring, Arne
last_name: Br{\"{o}}ring
- first_name: Simon
full_name: Maier, Simon
last_name: Maier
- first_name: Femke
full_name: Ongenae, Femke
last_name: Ongenae
- first_name: Riccardo
full_name: Tommasini, Riccardo
last_name: Tommasini
- first_name: Mehwish
full_name: Alam, Mehwish
last_name: Alam
intvolume: ' 12739'
language:
- iso: eng
page: 136-140
publication: 'The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers'
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Unsupervised Relation Extraction Using Sentence Encoding
type: conference
user_id: '65716'
volume: 12739
year: '2021'
...
---
_id: '24724'
author:
- first_name: Manzoor
full_name: Ali, Manzoor
last_name: Ali
- 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: 'Ali M, Saleem M, Ngonga Ngomo A-C. Unsupervised Relation Extraction Using
Sentence Encoding. In: Verborgh R, Dimou A, Hogan A, et al., eds. The Semantic
Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected
Papers. Vol 12739. Lecture Notes in Computer Science. Springer; 2021:136-140.
doi:10.1007/978-3-030-80418-3\_25'
apa: 'Ali, M., Saleem, M., & Ngonga Ngomo, A.-C. (2021). Unsupervised Relation
Extraction Using Sentence Encoding. In R. Verborgh, A. Dimou, A. Hogan, C. d’Amato,
I. Tiddi, A. Br{\"{o}}ring, S. Maier, F. Ongenae, R. Tommasini, & M. Alam
(Eds.), The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers (Vol. 12739, pp. 136–140). Springer. https://doi.org/10.1007/978-3-030-80418-3\_25'
bibtex: '@inproceedings{Ali_Saleem_Ngonga Ngomo_2021, series={Lecture Notes in Computer
Science}, title={Unsupervised Relation Extraction Using Sentence Encoding}, volume={12739},
DOI={10.1007/978-3-030-80418-3\_25},
booktitle={The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers}, publisher={Springer}, author={Ali, Manzoor
and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, editor={Verborgh, Ruben
and Dimou, Anastasia and Hogan, Aidan and d’Amato, Claudia and Tiddi, Ilaria and
Br{\"{o}}ring, Arne and Maier, Simon and Ongenae, Femke and Tommasini, Riccardo
and Alam, Mehwish}, year={2021}, pages={136–140}, collection={Lecture Notes in
Computer Science} }'
chicago: 'Ali, Manzoor, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Unsupervised
Relation Extraction Using Sentence Encoding.” In The Semantic Web: {ESWC} 2021
Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers,
edited by Ruben Verborgh, Anastasia Dimou, Aidan Hogan, Claudia d’Amato, Ilaria
Tiddi, Arne Br{\"{o}}ring, Simon Maier, Femke Ongenae, Riccardo Tommasini, and
Mehwish Alam, 12739:136–40. Lecture Notes in Computer Science. Springer, 2021.
https://doi.org/10.1007/978-3-030-80418-3\_25.'
ieee: 'M. Ali, M. Saleem, and A.-C. Ngonga Ngomo, “Unsupervised Relation Extraction
Using Sentence Encoding,” in The Semantic Web: {ESWC} 2021 Satellite Events
- Virtual Event, June 6-10, 2021, Revised Selected Papers, 2021, vol. 12739,
pp. 136–140, doi: 10.1007/978-3-030-80418-3\_25.'
mla: 'Ali, Manzoor, et al. “Unsupervised Relation Extraction Using Sentence Encoding.”
The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10,
2021, Revised Selected Papers, edited by Ruben Verborgh et al., vol. 12739,
Springer, 2021, pp. 136–40, doi:10.1007/978-3-030-80418-3\_25.'
short: 'M. Ali, M. Saleem, A.-C. Ngonga Ngomo, in: R. Verborgh, A. Dimou, A. Hogan,
C. d’Amato, I. Tiddi, A. Br{\"{o}}ring, S. Maier, F. Ongenae, R. Tommasini, M.
Alam (Eds.), The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers, Springer, 2021, pp. 136–140.'
date_created: 2021-09-20T13:13:12Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1007/978-3-030-80418-3\_25
editor:
- first_name: Ruben
full_name: Verborgh, Ruben
last_name: Verborgh
- first_name: Anastasia
full_name: Dimou, Anastasia
last_name: Dimou
- first_name: Aidan
full_name: Hogan, Aidan
last_name: Hogan
- first_name: Claudia
full_name: d'Amato, Claudia
last_name: d'Amato
- first_name: Ilaria
full_name: Tiddi, Ilaria
last_name: Tiddi
- first_name: Arne
full_name: Br{\"{o}}ring, Arne
last_name: Br{\"{o}}ring
- first_name: Simon
full_name: Maier, Simon
last_name: Maier
- first_name: Femke
full_name: Ongenae, Femke
last_name: Ongenae
- first_name: Riccardo
full_name: Tommasini, Riccardo
last_name: Tommasini
- first_name: Mehwish
full_name: Alam, Mehwish
last_name: Alam
intvolume: ' 12739'
language:
- iso: eng
page: 136-140
publication: 'The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June
6-10, 2021, Revised Selected Papers'
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Unsupervised Relation Extraction Using Sentence Encoding
type: conference
user_id: '65716'
volume: 12739
year: '2021'
...
---
_id: '24725'
author:
- first_name: Moemmur
full_name: Shahzad, Moemmur
last_name: Shahzad
- first_name: Ayesha
full_name: Amin, Ayesha
last_name: Amin
- first_name: Diego
full_name: Esteves, Diego
last_name: Esteves
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Shahzad M, Amin A, Esteves D, Ngonga Ngomo A-C. InferNER: an attentive model
leveraging the sentence-level information for Named Entity Recognition in Microblogs.
In: Bell E, Keshtkar F, eds. Proceedings of the Thirty-Fourth International
Florida Artificial Intelligence Research Society Conference, North Miami Beach,
Florida, USA, May 17-19, 2021. ; 2021. doi:10.32473/flairs.v34i1.128538'
apa: 'Shahzad, M., Amin, A., Esteves, D., & Ngonga Ngomo, A.-C. (2021). InferNER:
an attentive model leveraging the sentence-level information for Named Entity
Recognition in Microblogs. In E. Bell & F. Keshtkar (Eds.), Proceedings
of the Thirty-Fourth International Florida Artificial Intelligence Research Society
Conference, North Miami Beach, Florida, USA, May 17-19, 2021. https://doi.org/10.32473/flairs.v34i1.128538'
bibtex: '@inproceedings{Shahzad_Amin_Esteves_Ngonga Ngomo_2021, title={InferNER:
an attentive model leveraging the sentence-level information for Named Entity
Recognition in Microblogs}, DOI={10.32473/flairs.v34i1.128538},
booktitle={Proceedings of the Thirty-Fourth International Florida Artificial Intelligence
Research Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021},
author={Shahzad, Moemmur and Amin, Ayesha and Esteves, Diego and Ngonga Ngomo,
Axel-Cyrille}, editor={Bell, Eric and Keshtkar, Fazel}, year={2021} }'
chicago: 'Shahzad, Moemmur, Ayesha Amin, Diego Esteves, and Axel-Cyrille Ngonga
Ngomo. “InferNER: An Attentive Model Leveraging the Sentence-Level Information
for Named Entity Recognition in Microblogs.” In Proceedings of the Thirty-Fourth
International Florida Artificial Intelligence Research Society Conference, North
Miami Beach, Florida, USA, May 17-19, 2021, edited by Eric Bell and Fazel
Keshtkar, 2021. https://doi.org/10.32473/flairs.v34i1.128538.'
ieee: 'M. Shahzad, A. Amin, D. Esteves, and A.-C. Ngonga Ngomo, “InferNER: an attentive
model leveraging the sentence-level information for Named Entity Recognition in
Microblogs,” in Proceedings of the Thirty-Fourth International Florida Artificial
Intelligence Research Society Conference, North Miami Beach, Florida, USA, May
17-19, 2021, 2021, doi: 10.32473/flairs.v34i1.128538.'
mla: 'Shahzad, Moemmur, et al. “InferNER: An Attentive Model Leveraging the Sentence-Level
Information for Named Entity Recognition in Microblogs.” Proceedings of the
Thirty-Fourth International Florida Artificial Intelligence Research Society Conference,
North Miami Beach, Florida, USA, May 17-19, 2021, edited by Eric Bell and
Fazel Keshtkar, 2021, doi:10.32473/flairs.v34i1.128538.'
short: 'M. Shahzad, A. Amin, D. Esteves, A.-C. Ngonga Ngomo, in: E. Bell, F. Keshtkar
(Eds.), Proceedings of the Thirty-Fourth International Florida Artificial Intelligence
Research Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021,
2021.'
date_created: 2021-09-20T13:13:49Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.32473/flairs.v34i1.128538
editor:
- first_name: Eric
full_name: Bell, Eric
last_name: Bell
- first_name: Fazel
full_name: Keshtkar, Fazel
last_name: Keshtkar
language:
- iso: eng
publication: Proceedings of the Thirty-Fourth International Florida Artificial Intelligence
Research Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021
status: public
title: 'InferNER: an attentive model leveraging the sentence-level information for
Named Entity Recognition in Microblogs'
type: conference
user_id: '65716'
year: '2021'
...
---
_id: '24726'
author:
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Pham
full_name: Thuy Sy Nguyen, Pham
last_name: Thuy Sy Nguyen
- first_name: Felix
full_name: Conrads, Felix
last_name: Conrads
- first_name: Ana
full_name: Alexandra Morim da Silva, Ana
last_name: Alexandra Morim da Silva
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Röder M, Thuy Sy Nguyen P, Conrads F, Alexandra Morim da Silva A, Ngonga Ngomo
A-C. Lemming - Example-based Mimicking of Knowledge Graphs. In: 15th {IEEE}
International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA,
USA, January 27-29, 2021. {IEEE}; 2021:62-69. doi:10.1109/ICSC50631.2021.00015'
apa: Röder, M., Thuy Sy Nguyen, P., Conrads, F., Alexandra Morim da Silva, A., &
Ngonga Ngomo, A.-C. (2021). Lemming - Example-based Mimicking of Knowledge Graphs.
15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna
Hills, CA, USA, January 27-29, 2021, 62–69. https://doi.org/10.1109/ICSC50631.2021.00015
bibtex: '@inproceedings{Röder_Thuy Sy Nguyen_Conrads_Alexandra Morim da Silva_Ngonga
Ngomo_2021, title={Lemming - Example-based Mimicking of Knowledge Graphs}, DOI={10.1109/ICSC50631.2021.00015},
booktitle={15th {IEEE} International Conference on Semantic Computing, {ICSC}
2021, Laguna Hills, CA, USA, January 27-29, 2021}, publisher={{IEEE}}, author={Röder,
Michael and Thuy Sy Nguyen, Pham and Conrads, Felix and Alexandra Morim da Silva,
Ana and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={62–69} }'
chicago: Röder, Michael, Pham Thuy Sy Nguyen, Felix Conrads, Ana Alexandra Morim
da Silva, and Axel-Cyrille Ngonga Ngomo. “Lemming - Example-Based Mimicking of
Knowledge Graphs.” In 15th {IEEE} International Conference on Semantic Computing,
{ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, 62–69. {IEEE}, 2021.
https://doi.org/10.1109/ICSC50631.2021.00015.
ieee: 'M. Röder, P. Thuy Sy Nguyen, F. Conrads, A. Alexandra Morim da Silva, and
A.-C. Ngonga Ngomo, “Lemming - Example-based Mimicking of Knowledge Graphs,” in
15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna
Hills, CA, USA, January 27-29, 2021, 2021, pp. 62–69, doi: 10.1109/ICSC50631.2021.00015.'
mla: Röder, Michael, et al. “Lemming - Example-Based Mimicking of Knowledge Graphs.”
15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna
Hills, CA, USA, January 27-29, 2021, {IEEE}, 2021, pp. 62–69, doi:10.1109/ICSC50631.2021.00015.
short: 'M. Röder, P. Thuy Sy Nguyen, F. Conrads, A. Alexandra Morim da Silva, A.-C.
Ngonga Ngomo, in: 15th {IEEE} International Conference on Semantic Computing,
{ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, {IEEE}, 2021, pp. 62–69.'
date_created: 2021-09-20T13:14:21Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1109/ICSC50631.2021.00015
language:
- iso: eng
page: 62-69
publication: 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021,
Laguna Hills, CA, USA, January 27-29, 2021
publisher: '{IEEE}'
status: public
title: Lemming - Example-based Mimicking of Knowledge Graphs
type: conference
user_id: '65716'
year: '2021'
...
---
_id: '24727'
author:
- first_name: Abdelmoneim
full_name: Amer Desouki, Abdelmoneim
last_name: Amer Desouki
- first_name: Felix
full_name: Conrads, Felix
last_name: Conrads
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Amer Desouki A, Conrads F, Röder M, Ngonga Ngomo A-C. SYNTHG: Mimicking RDF
Graphs Using Tensor Factorization. In: 15th {IEEE} International Conference
on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021.
{IEEE}; 2021:76-79. doi:10.1109/ICSC50631.2021.00017'
apa: 'Amer Desouki, A., Conrads, F., Röder, M., & Ngonga Ngomo, A.-C. (2021).
SYNTHG: Mimicking RDF Graphs Using Tensor Factorization. 15th {IEEE} International
Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January
27-29, 2021, 76–79. https://doi.org/10.1109/ICSC50631.2021.00017'
bibtex: '@inproceedings{Amer Desouki_Conrads_Röder_Ngonga Ngomo_2021, title={SYNTHG:
Mimicking RDF Graphs Using Tensor Factorization}, DOI={10.1109/ICSC50631.2021.00017},
booktitle={15th {IEEE} International Conference on Semantic Computing, {ICSC}
2021, Laguna Hills, CA, USA, January 27-29, 2021}, publisher={{IEEE}}, author={Amer
Desouki, Abdelmoneim and Conrads, Felix and Röder, Michael and Ngonga Ngomo, Axel-Cyrille},
year={2021}, pages={76–79} }'
chicago: 'Amer Desouki, Abdelmoneim, Felix Conrads, Michael Röder, and Axel-Cyrille
Ngonga Ngomo. “SYNTHG: Mimicking RDF Graphs Using Tensor Factorization.” In 15th
{IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills,
CA, USA, January 27-29, 2021, 76–79. {IEEE}, 2021. https://doi.org/10.1109/ICSC50631.2021.00017.'
ieee: 'A. Amer Desouki, F. Conrads, M. Röder, and A.-C. Ngonga Ngomo, “SYNTHG: Mimicking
RDF Graphs Using Tensor Factorization,” in 15th {IEEE} International Conference
on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021,
2021, pp. 76–79, doi: 10.1109/ICSC50631.2021.00017.'
mla: 'Amer Desouki, Abdelmoneim, et al. “SYNTHG: Mimicking RDF Graphs Using Tensor
Factorization.” 15th {IEEE} International Conference on Semantic Computing,
{ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, {IEEE}, 2021, pp.
76–79, doi:10.1109/ICSC50631.2021.00017.'
short: 'A. Amer Desouki, F. Conrads, M. Röder, A.-C. Ngonga Ngomo, in: 15th {IEEE}
International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA,
USA, January 27-29, 2021, {IEEE}, 2021, pp. 76–79.'
date_created: 2021-09-20T13:15:06Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1109/ICSC50631.2021.00017
language:
- iso: eng
page: 76-79
publication: 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021,
Laguna Hills, CA, USA, January 27-29, 2021
publisher: '{IEEE}'
status: public
title: 'SYNTHG: Mimicking RDF Graphs Using Tensor Factorization'
type: conference
user_id: '65716'
year: '2021'
...
---
_id: '24728'
author:
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Diego
full_name: Moussallem, Diego
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Moussallem D, Ngonga Ngomo A-C. A shallow neural model for relation
prediction. In: 15th {IEEE} International Conference on Semantic Computing,
{ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021. {IEEE}; 2021:179-182.
doi:10.1109/ICSC50631.2021.00038'
apa: Demir, C., Moussallem, D., & Ngonga Ngomo, A.-C. (2021). A shallow neural
model for relation prediction. 15th {IEEE} International Conference on Semantic
Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, 179–182.
https://doi.org/10.1109/ICSC50631.2021.00038
bibtex: '@inproceedings{Demir_Moussallem_Ngonga Ngomo_2021, title={A shallow neural
model for relation prediction}, DOI={10.1109/ICSC50631.2021.00038},
booktitle={15th {IEEE} International Conference on Semantic Computing, {ICSC}
2021, Laguna Hills, CA, USA, January 27-29, 2021}, publisher={{IEEE}}, author={Demir,
Caglar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={179–182}
}'
chicago: Demir, Caglar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “A Shallow
Neural Model for Relation Prediction.” In 15th {IEEE} International Conference
on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021,
179–82. {IEEE}, 2021. https://doi.org/10.1109/ICSC50631.2021.00038.
ieee: 'C. Demir, D. Moussallem, and A.-C. Ngonga Ngomo, “A shallow neural model
for relation prediction,” in 15th {IEEE} International Conference on Semantic
Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, 2021,
pp. 179–182, doi: 10.1109/ICSC50631.2021.00038.'
mla: Demir, Caglar, et al. “A Shallow Neural Model for Relation Prediction.” 15th
{IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills,
CA, USA, January 27-29, 2021, {IEEE}, 2021, pp. 179–82, doi:10.1109/ICSC50631.2021.00038.
short: 'C. Demir, D. Moussallem, A.-C. Ngonga Ngomo, in: 15th {IEEE} International
Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January
27-29, 2021, {IEEE}, 2021, pp. 179–182.'
date_created: 2021-09-20T13:15:47Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1109/ICSC50631.2021.00038
language:
- iso: eng
page: 179-182
publication: 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021,
Laguna Hills, CA, USA, January 27-29, 2021
publisher: '{IEEE}'
status: public
title: A shallow neural model for relation prediction
type: conference
user_id: '65716'
year: '2021'
...