---
_id: '29292'
author:
- first_name: Robert
full_name: Feldhans, Robert
last_name: Feldhans
- first_name: Adrian
full_name: Wilke, Adrian
id: '9101'
last_name: Wilke
orcid: 0000-0002-6575-807X
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Mohammad Hossein
full_name: Shaker, Mohammad Hossein
last_name: Shaker
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with
Document Embeddings. In: Intelligent Data Engineering and Automated Learning
– IDEAL 2021. Springer International Publishing; 2021. doi:10.1007/978-3-030-91608-4_11'
apa: Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo,
A.-C., & Hüllermeier, E. (2021). Drift Detection in Text Data with Document
Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL
2021. Springer International Publishing. https://doi.org/10.1007/978-3-030-91608-4_11
bibtex: '@inbook{Feldhans_Wilke_Heindorf_Shaker_Hammer_Ngonga Ngomo_Hüllermeier_2021,
place={Cham}, title={Drift Detection in Text Data with Document Embeddings}, DOI={10.1007/978-3-030-91608-4_11},
booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2021},
publisher={Springer International Publishing}, author={Feldhans, Robert and Wilke,
Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and
Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}, year={2021} }'
chicago: 'Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker,
Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection
in Text Data with Document Embeddings.” In Intelligent Data Engineering and
Automated Learning – IDEAL 2021. Cham: Springer International Publishing,
2021. https://doi.org/10.1007/978-3-030-91608-4_11.'
ieee: 'R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,”
in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham:
Springer International Publishing, 2021.'
mla: Feldhans, Robert, et al. “Drift Detection in Text Data with Document Embeddings.”
Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer
International Publishing, 2021, doi:10.1007/978-3-030-91608-4_11.
short: 'R. Feldhans, A. Wilke, S. Heindorf, M.H. Shaker, B. Hammer, A.-C. Ngonga
Ngomo, E. Hüllermeier, in: Intelligent Data Engineering and Automated Learning
– IDEAL 2021, Springer International Publishing, Cham, 2021.'
date_created: 2022-01-12T10:27:23Z
date_updated: 2022-10-15T19:54:20Z
department:
- _id: '574'
doi: 10.1007/978-3-030-91608-4_11
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2021/IDEAL2021_DriftDetectionEmbeddings/Drift-Detection-in-Text-Data-with-Document-Embeddings-public.pdf
oa: '1'
place: Cham
publication: Intelligent Data Engineering and Automated Learning – IDEAL 2021
publication_identifier:
isbn:
- '9783030916077'
- '9783030916084'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-030-91608-4_11
status: public
title: Drift Detection in Text Data with Document Embeddings
type: book_chapter
user_id: '11871'
year: '2021'
...
---
_id: '29287'
abstract:
- lang: eng
text: "Knowledge graph embedding research has mainly focused on the two smallest\r\nnormed
division algebras, $\\mathbb{R}$ and $\\mathbb{C}$. Recent results suggest\r\nthat
trilinear products of quaternion-valued embeddings can be a more effective\r\nmeans
to tackle link prediction. In addition, models based on convolutions on\r\nreal-valued
embeddings often yield state-of-the-art results for link\r\nprediction. In this
paper, we investigate a composition of convolution\r\noperations with hypercomplex
multiplications. We propose the four approaches\r\nQMult, OMult, ConvQ and ConvO
to tackle the link prediction problem. QMult and\r\nOMult can be considered as
quaternion and octonion extensions of previous\r\nstate-of-the-art approaches,
including DistMult and ComplEx. ConvQ and ConvO\r\nbuild upon QMult and OMult
by including convolution operations in a way\r\ninspired by the residual learning
framework. We evaluated our approaches on\r\nseven link prediction datasets including
WN18RR, FB15K-237 and YAGO3-10.\r\nExperimental results suggest that the benefits
of learning hypercomplex-valued\r\nvector representations become more apparent
as the size and complexity of the\r\nknowledge graph grows. ConvO outperforms
state-of-the-art approaches on\r\nFB15K-237 in MRR, Hit@1 and Hit@3, while QMult,
OMult, ConvQ and ConvO\r\noutperform state-of-the-approaches on YAGO3-10 in all
metrics. Results also\r\nsuggest that link prediction performances can be further
improved via\r\nprediction averaging. To foster reproducible research, we provide
an\r\nopen-source implementation of approaches, including training and evaluation\r\nscripts
as well as pretrained models."
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex
Embeddings for Link Prediction. In: The 13th Asian Conference on Machine Learning,
ACML 2021. ; 2021.'
apa: Demir, C., Moussallem, D., Heindorf, S., & Ngonga Ngomo, A.-C. (2021).
Convolutional Hypercomplex Embeddings for Link Prediction. The 13th Asian Conference
on Machine Learning, ACML 2021.
bibtex: '@inproceedings{Demir_Moussallem_Heindorf_Ngonga Ngomo_2021, title={Convolutional
Hypercomplex Embeddings for Link Prediction}, booktitle={The 13th Asian Conference
on Machine Learning, ACML 2021}, author={Demir, Caglar and Moussallem, Diego and
Heindorf, Stefan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }'
chicago: Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga
Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In The
13th Asian Conference on Machine Learning, ACML 2021, 2021.
ieee: C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional
Hypercomplex Embeddings for Link Prediction,” 2021.
mla: Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.”
The 13th Asian Conference on Machine Learning, ACML 2021, 2021.
short: 'C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian
Conference on Machine Learning, ACML 2021, 2021.'
date_created: 2022-01-12T10:21:10Z
date_updated: 2022-10-17T15:06:40Z
department:
- _id: '574'
external_id:
arxiv:
- '2106.15230'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf
oa: '1'
publication: The 13th Asian Conference on Machine Learning, ACML 2021
status: public
title: Convolutional Hypercomplex Embeddings for Link Prediction
type: conference
user_id: '11871'
year: '2021'
...
---
_id: '29294'
author:
- first_name: Tobias
full_name: Nickchen, Tobias
id: '27340'
last_name: Nickchen
orcid: 0000-0001-8958-9330
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data
for Image Recognition of Additively Manufactured Parts. In: 2021 IEEE Winter
Conference on Applications of Computer Vision (WACV). IEEE; 2021. doi:10.1109/wacv48630.2021.00204'
apa: Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically
Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021
IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204
bibtex: '@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically
Sound Training Data for Image Recognition of Additively Manufactured Parts}, DOI={10.1109/wacv48630.2021.00204},
booktitle={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)},
publisher={IEEE}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor},
year={2021} }'
chicago: Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically
Sound Training Data for Image Recognition of Additively Manufactured Parts.” In
2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
IEEE, 2021. https://doi.org/10.1109/wacv48630.2021.00204.
ieee: 'T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training
Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: 10.1109/wacv48630.2021.00204.'
mla: Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image
Recognition of Additively Manufactured Parts.” 2021 IEEE Winter Conference
on Applications of Computer Vision (WACV), IEEE, 2021, doi:10.1109/wacv48630.2021.00204.
short: 'T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on
Applications of Computer Vision (WACV), IEEE, 2021.'
date_created: 2022-01-12T10:31:42Z
date_updated: 2022-10-17T15:07:38Z
department:
- _id: '66'
- _id: '574'
doi: 10.1109/wacv48630.2021.00204
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
publication_status: published
publisher: IEEE
status: public
title: Generating Physically Sound Training Data for Image Recognition of Additively
Manufactured Parts
type: conference
user_id: '11871'
year: '2021'
...
---
_id: '24456'
abstract:
- lang: eng
text: One objective of current research in explainable intelligent systems is to
implement social aspects in order to increase the relevance of explanations. In
this paper, we argue that a novel conceptual framework is needed to overcome shortcomings
of existing AI systems with little attention to processes of interaction and learning.
Drawing from research in interaction and development, we first outline the novel
conceptual framework that pushes the design of AI systems toward true interactivity
with an emphasis on the role of the partner and social relevance. We propose that
AI systems will be able to provide a meaningful and relevant explanation only
if the process of explaining is extended to active contribution of both partners
that brings about dynamics that is modulated by different levels of analysis.
Accordingly, our conceptual framework comprises monitoring and scaffolding as
key concepts and claims that the process of explaining is not only modulated by
the interaction between explainee and explainer but is embedded into a larger
social context in which conventionalized and routinized behaviors are established.
We discuss our conceptual framework in relation to the established objectives
of transparency and autonomy that are raised for the design of explainable AI
systems currently.
article_type: original
author:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Tobias
full_name: Matzner, Tobias
id: '65695'
last_name: Matzner
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Hendrik
full_name: Buschmeier, Hendrik
last_name: Buschmeier
- first_name: Elena
full_name: Esposito, Elena
last_name: Esposito
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Ilona
full_name: Horwath, Ilona
id: '68836'
last_name: Horwath
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Friederike
full_name: Kern, Friederike
last_name: Kern
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Petra
full_name: Wagner, Petra
last_name: Wagner
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice:
Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions
on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366'
apa: 'Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier,
H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier,
E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth,
H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward
a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions
on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366'
bibtex: '@article{Rohlfing_Cimiano_Scharlau_Matzner_Buhl_Buschmeier_Esposito_Grimminger_Hammer_Haeb-Umbach_et
al._2021, title={Explanation as a Social Practice: Toward a Conceptual Framework
for the Social Design of AI Systems}, volume={13}, DOI={10.1109/tcds.2020.3044366},
number={3}, journal={IEEE Transactions on Cognitive and Developmental Systems},
author={Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner,
Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger,
Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and et al.}, year={2021},
pages={717–728} }'
chicago: 'Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner,
Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social
Practice: Toward a Conceptual Framework for the Social Design of AI Systems.”
IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021):
717–28. https://doi.org/10.1109/tcds.2020.3044366.'
ieee: 'K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a
Conceptual Framework for the Social Design of AI Systems,” IEEE Transactions
on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021,
doi: 10.1109/tcds.2020.3044366.'
mla: 'Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a
Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions
on Cognitive and Developmental Systems, vol. 13, no. 3, 2021, pp. 717–28,
doi:10.1109/tcds.2020.3044366.'
short: K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier,
E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier,
F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P.
Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13
(2021) 717–728.
date_created: 2021-09-14T20:52:57Z
date_updated: 2023-12-05T10:15:02Z
ddc:
- '300'
department:
- _id: '603'
- _id: '749'
- _id: '424'
- _id: '67'
- _id: '574'
- _id: '184'
- _id: '757'
- _id: '54'
- _id: '178'
doi: 10.1109/tcds.2020.3044366
file:
- access_level: open_access
content_type: application/pdf
creator: haebumb
date_created: 2023-11-20T16:33:51Z
date_updated: 2023-11-20T16:33:51Z
file_id: '49081'
file_name: 2020-12-01_explainability_final_version.pdf
file_size: 626217
relation: main_file
file_date_updated: 2023-11-20T16:33:51Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '3'
keyword:
- Explainability
- process ofexplaining andunderstanding
- explainable artificial systems
language:
- iso: eng
oa: '1'
page: 717-728
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: IEEE Transactions on Cognitive and Developmental Systems
publication_identifier:
issn:
- 2379-8920
- 2379-8939
publication_status: published
quality_controlled: '1'
status: public
title: 'Explanation as a Social Practice: Toward a Conceptual Framework for the Social
Design of AI Systems'
type: journal_article
user_id: '42933'
volume: 13
year: '2021'
...
---
_id: '29291'
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: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Zahera HMA, Heindorf S, Ngonga Ngomo A-C. ASSET: A Semi-supervised Approach
for Entity Typing in Knowledge Graphs. In: Proceedings of the 11th on Knowledge
Capture Conference. ACM; 2021. doi:10.1145/3460210.3493563'
apa: 'Zahera, H. M. A., Heindorf, S., & Ngonga Ngomo, A.-C. (2021). ASSET: A
Semi-supervised Approach for Entity Typing in Knowledge Graphs. Proceedings
of the 11th on Knowledge Capture Conference. https://doi.org/10.1145/3460210.3493563'
bibtex: '@inproceedings{Zahera_Heindorf_Ngonga Ngomo_2021, title={ASSET: A Semi-supervised
Approach for Entity Typing in Knowledge Graphs}, DOI={10.1145/3460210.3493563},
booktitle={Proceedings of the 11th on Knowledge Capture Conference}, publisher={ACM},
author={Zahera, Hamada Mohamed Abdelsamee and Heindorf, Stefan and Ngonga Ngomo,
Axel-Cyrille}, year={2021} }'
chicago: 'Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, and Axel-Cyrille Ngonga
Ngomo. “ASSET: A Semi-Supervised Approach for Entity Typing in Knowledge Graphs.”
In Proceedings of the 11th on Knowledge Capture Conference. ACM, 2021.
https://doi.org/10.1145/3460210.3493563.'
ieee: 'H. M. A. Zahera, S. Heindorf, and A.-C. Ngonga Ngomo, “ASSET: A Semi-supervised
Approach for Entity Typing in Knowledge Graphs,” 2021, doi: 10.1145/3460210.3493563.'
mla: 'Zahera, Hamada Mohamed Abdelsamee, et al. “ASSET: A Semi-Supervised Approach
for Entity Typing in Knowledge Graphs.” Proceedings of the 11th on Knowledge
Capture Conference, ACM, 2021, doi:10.1145/3460210.3493563.'
short: 'H.M.A. Zahera, S. Heindorf, A.-C. Ngonga Ngomo, in: Proceedings of the 11th
on Knowledge Capture Conference, ACM, 2021.'
date_created: 2022-01-12T10:27:02Z
date_updated: 2024-05-30T18:02:43Z
ddc:
- '000'
department:
- _id: '574'
doi: 10.1145/3460210.3493563
file:
- access_level: closed
content_type: application/pdf
creator: heindorf
date_created: 2024-05-30T18:02:28Z
date_updated: 2024-05-30T18:02:28Z
file_id: '54523'
file_name: ASSET_public.pdf
file_size: 537882
relation: main_file
success: 1
file_date_updated: 2024-05-30T18:02:28Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2021/KCAP2021_ASSET/public.pdf
oa: '1'
publication: Proceedings of the 11th on Knowledge Capture Conference
publication_status: published
publisher: ACM
status: public
title: 'ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs'
type: conference
user_id: '11871'
year: '2021'
...
---
_id: '54586'
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. Unsupervised Relation Extraction Using
Sentence Encoding. In: The Semantic Web: ESWC 2021 Satellite Events. Springer
International Publishing; 2021. doi:10.1007/978-3-030-80418-3_25'
apa: 'Manzoor, A., Saleem, M., & Ngonga Ngomo, A.-C. (2021). Unsupervised Relation
Extraction Using Sentence Encoding. In The Semantic Web: ESWC 2021 Satellite
Events. Springer International Publishing. https://doi.org/10.1007/978-3-030-80418-3_25'
bibtex: '@inbook{Manzoor_Saleem_Ngonga Ngomo_2021, place={Cham}, title={Unsupervised
Relation Extraction Using Sentence Encoding}, DOI={10.1007/978-3-030-80418-3_25},
booktitle={The Semantic Web: ESWC 2021 Satellite Events}, publisher={Springer
International Publishing}, author={Manzoor, Ali and Saleem, Muhammad and Ngonga
Ngomo, Axel-Cyrille}, year={2021} }'
chicago: 'Manzoor, Ali, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Unsupervised
Relation Extraction Using Sentence Encoding.” In The Semantic Web: ESWC 2021
Satellite Events. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-80418-3_25.'
ieee: 'A. Manzoor, M. Saleem, and A.-C. Ngonga Ngomo, “Unsupervised Relation Extraction
Using Sentence Encoding,” in The Semantic Web: ESWC 2021 Satellite Events,
Cham: Springer International Publishing, 2021.'
mla: 'Manzoor, Ali, et al. “Unsupervised Relation Extraction Using Sentence Encoding.”
The Semantic Web: ESWC 2021 Satellite Events, Springer International Publishing,
2021, doi:10.1007/978-3-030-80418-3_25.'
short: 'A. Manzoor, M. Saleem, A.-C. Ngonga Ngomo, in: The Semantic Web: ESWC 2021
Satellite Events, Springer International Publishing, Cham, 2021.'
date_created: 2024-06-04T12:23:21Z
date_updated: 2024-06-04T12:24:52Z
department:
- _id: '574'
doi: 10.1007/978-3-030-80418-3_25
language:
- iso: eng
place: Cham
publication: 'The Semantic Web: ESWC 2021 Satellite Events'
publication_identifier:
isbn:
- '9783030804176'
- '9783030804183'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Unsupervised Relation Extraction Using Sentence Encoding
type: book_chapter
user_id: '77309'
year: '2021'
...
---
_id: '45844'
abstract:
- lang: eng
text: "Abstract\r\n Abductive reasoning
is a non-monotonic formalism stemming from the work of Peirce. It describes the
process of deriving the most plausible explanations of known facts. Considering
the positive version, asking for sets of variables as explanations, we study,
besides the problem of wether there exists a set of explanations, two explanation
size limited variants of this reasoning problem (less than or equal to, and equal
to a given size bound). In this paper, we present a thorough two-dimensional classification
of these problems: the first dimension is regarding the parameterized complexity
under a wealth of different parameterizations, and the second dimension spans
through all possible Boolean fragments of these problems in Schaefer’s constraint
satisfaction framework with co-clones (T. J. Schaefer. The complexity of satisfiability
problems. In Proceedings of the 10th Annual ACM Symposium on Theory of Computing,
May 1–3, 1978, San Diego, California, USA, R.J. Lipton, W.A. Burkhard, W.J. Savitch,
E.P. Friedman, A.V. Aho eds, pp. 216–226. ACM, 1978). Thereby, we almost complete
the parameterized complexity classification program initiated by Fellows et al.
(The parameterized complexity of abduction. In Proceedings of the Twenty-Sixth
AAAI Conference on Articial Intelligence, July 22–26, 2012, Toronto, Ontario,
Canada, J. Homann, B. Selman eds. AAAI Press, 2012), partially building on the
results by Nordh and Zanuttini (What makes propositional abduction tractable.
Artificial Intelligence, 172, 1245–1284, 2008). In this process, we outline a
fine-grained analysis of the inherent parameterized intractability of these problems
and pinpoint their FPT parts. As the standard algebraic approach is not applicable
to our problems, we develop an alternative method that makes the algebraic tools
partially available again."
author:
- first_name: Yasir
full_name: Mahmood, Yasir
last_name: Mahmood
- first_name: Arne
full_name: Meier, Arne
last_name: Meier
- first_name: Johannes
full_name: Schmidt, Johannes
last_name: Schmidt
citation:
ama: Mahmood Y, Meier A, Schmidt J. Parameterized complexity of abduction in Schaefer’s
framework. Journal of Logic and Computation. 2021;31(1):266-296. doi:10.1093/logcom/exaa079
apa: Mahmood, Y., Meier, A., & Schmidt, J. (2021). Parameterized complexity
of abduction in Schaefer’s framework. Journal of Logic and Computation,
31(1), 266–296. https://doi.org/10.1093/logcom/exaa079
bibtex: '@article{Mahmood_Meier_Schmidt_2021, title={Parameterized complexity of
abduction in Schaefer’s framework}, volume={31}, DOI={10.1093/logcom/exaa079},
number={1}, journal={Journal of Logic and Computation}, publisher={Oxford University
Press (OUP)}, author={Mahmood, Yasir and Meier, Arne and Schmidt, Johannes}, year={2021},
pages={266–296} }'
chicago: 'Mahmood, Yasir, Arne Meier, and Johannes Schmidt. “Parameterized Complexity
of Abduction in Schaefer’s Framework.” Journal of Logic and Computation
31, no. 1 (2021): 266–96. https://doi.org/10.1093/logcom/exaa079.'
ieee: 'Y. Mahmood, A. Meier, and J. Schmidt, “Parameterized complexity of abduction
in Schaefer’s framework,” Journal of Logic and Computation, vol. 31, no.
1, pp. 266–296, 2021, doi: 10.1093/logcom/exaa079.'
mla: Mahmood, Yasir, et al. “Parameterized Complexity of Abduction in Schaefer’s
Framework.” Journal of Logic and Computation, vol. 31, no. 1, Oxford University
Press (OUP), 2021, pp. 266–96, doi:10.1093/logcom/exaa079.
short: Y. Mahmood, A. Meier, J. Schmidt, Journal of Logic and Computation 31 (2021)
266–296.
date_created: 2023-07-03T11:35:23Z
date_updated: 2024-06-04T16:03:14Z
department:
- _id: '574'
doi: 10.1093/logcom/exaa079
extern: '1'
intvolume: ' 31'
issue: '1'
keyword:
- Logic
- Hardware and Architecture
- Arts and Humanities (miscellaneous)
- Software
- Theoretical Computer Science
language:
- iso: eng
page: 266-296
publication: Journal of Logic and Computation
publication_identifier:
issn:
- 0955-792X
- 1465-363X
publication_status: published
publisher: Oxford University Press (OUP)
status: public
title: Parameterized complexity of abduction in Schaefer’s framework
type: journal_article
user_id: '99353'
volume: 31
year: '2021'
...
---
_id: '25212'
abstract:
- lang: eng
text: "Finding a good query plan is key to the optimization of query runtime. This
holds in particular for cost-based federation\r\nengines, which make use of cardinality
estimations to achieve this goal. A number of studies compare SPARQL federation
engines across different performance metrics, including query runtime, result
set completeness and correctness, number of sources selected and number of requests
sent. Albeit informative, these metrics are generic and unable to quantify and
evaluate the accuracy of the cardinality estimators of cost-based federation engines.
To thoroughly evaluate cost-based federation engines, the effect of estimated
cardinality errors on the overall query runtime performance must be measured.
In this paper, we address this challenge by presenting novel evaluation metrics
targeted at a fine-grained benchmarking of cost-based federated SPARQL query engines.
We evaluate five cost-based federated SPARQL query engines using existing as well
as novel evaluation metrics by using LargeRDFBench queries. Our results provide
a detailed analysis of the experimental outcomes that reveal novel insights, useful
for the development of future cost-based federated SPARQL query processing engines."
article_type: original
author:
- first_name: Umair
full_name: Qudus, Umair
id: '83392'
last_name: Qudus
orcid: 0000-0001-6714-8729
- 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
- first_name: Young-Koo
full_name: Lee, Young-Koo
last_name: Lee
citation:
ama: Qudus U, Saleem M, Ngonga Ngomo A-C, Lee Y-K. An Empirical Evaluation of Cost-based
Federated SPARQL Query Processing Engines. Semantic Web. 12(6):843-868.
doi:10.3233/SW-200420
apa: Qudus, U., Saleem, M., Ngonga Ngomo, A.-C., & Lee, Y.-K. (n.d.). An Empirical
Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic
Web, 12(6), 843–868. https://doi.org/10.3233/SW-200420
bibtex: '@article{Qudus_Saleem_Ngonga Ngomo_Lee, title={An Empirical Evaluation
of Cost-based Federated SPARQL Query Processing Engines}, volume={12}, DOI={10.3233/SW-200420}, number={6}, journal={Semantic
Web}, publisher={ISO Press}, author={Qudus, Umair and Saleem, Muhammad and Ngonga
Ngomo, Axel-Cyrille and Lee, Young-Koo}, pages={843–868} }'
chicago: 'Qudus, Umair, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, and Young-Koo
Lee. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing
Engines.” Semantic Web 12, no. 6 (n.d.): 843–68. https://doi.org/10.3233/SW-200420.'
ieee: 'U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, and Y.-K. Lee, “An Empirical Evaluation
of Cost-based Federated SPARQL Query Processing Engines,” Semantic Web,
vol. 12, no. 6, pp. 843–868, doi: 10.3233/SW-200420.'
mla: Qudus, Umair, et al. “An Empirical Evaluation of Cost-Based Federated SPARQL
Query Processing Engines.” Semantic Web, vol. 12, no. 6, ISO Press, pp.
843–68, doi:10.3233/SW-200420.
short: U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, Y.-K. Lee, Semantic Web 12 (n.d.)
843–868.
date_created: 2021-10-01T06:52:52Z
date_updated: 2025-09-11T09:50:14Z
ddc:
- '000'
department:
- _id: '574'
doi: 10.3233/SW-200420
file:
- access_level: closed
content_type: application/pdf
creator: uqudus
date_created: 2024-01-13T11:35:53Z
date_updated: 2024-01-13T11:35:53Z
file_id: '50483'
file_name: swj2604.pdf
file_size: 978478
relation: main_file
success: 1
file_date_updated: 2024-01-13T11:35:53Z
has_accepted_license: '1'
intvolume: ' 12'
issue: '6'
keyword:
- SPARQL
- benchmarking
- cost-based
- cost-free
- federated
- querying
language:
- iso: eng
page: 843-868
project:
- _id: '410'
name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
publication: Semantic Web
publication_identifier:
issn:
- 2210-4968
publication_status: accepted
publisher: ISO Press
status: public
title: An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
type: journal_article
user_id: '83392'
volume: 12
year: '2021'
...
---
_id: '54587'
abstract:
- lang: eng
text: With significant growth in RDF datasets, application developers demand
online availability of these datasets to meet the end users’ expectations. Various
interfaces are available for querying RDF data using SPARQL query language. Studies
show that SPARQL end-points may provide high query runtime performance at the
cost of low availability. For example, it has been observed that only 32.2% of
public endpoints have a monthly uptime of 99–100%. One possible reason for this
low availability is the high workload experienced by these SPARQL endpoints. As
complete query execution is performed at server side (i.e., SPARQL endpoint),
this high query processing workload may result in performance degradation or even
a service shutdown. We performed extensive experiments to show the query processing
capabilities of well-known triple stores by using their SPARQL endpoints. In particular,
we stressed these triple stores with multiple parallel requests from different
querying agents. Our experiments revealed the maximum query processing capabilities
of these triple stores after which point they lead to service shutdowns. We hope
this analysis will help triple store developers to design workload-aware RDF engines
to improve the availability of their public endpoints with high throughput.
author:
- first_name: Hashim
full_name: Khan, Hashim
id: '76510'
last_name: Khan
orcid: 0009-0006-5953-480X
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
orcid: https://orcid.org/0000-0001-8403-5160
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
citation:
ama: 'Khan H, Manzoor A, Ngonga Ngomo A-C, Saleem M. When is the Peak Performance
Reached? An Analysis of RDF Triple Stores. In: Studies on the Semantic Web.
IOS Press; 2021. doi:10.3233/ssw210042'
apa: Khan, H., Manzoor, A., Ngonga Ngomo, A.-C., & Saleem, M. (2021). When is
the Peak Performance Reached? An Analysis of RDF Triple Stores. In Studies
on the Semantic Web. IOS Press. https://doi.org/10.3233/ssw210042
bibtex: '@inbook{Khan_Manzoor_Ngonga Ngomo_Saleem_2021, title={When is the Peak
Performance Reached? An Analysis of RDF Triple Stores}, DOI={10.3233/ssw210042},
booktitle={Studies on the Semantic Web}, publisher={IOS Press}, author={Khan,
Hashim and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Saleem, Muhammad},
year={2021} }'
chicago: Khan, Hashim, Ali Manzoor, Axel-Cyrille Ngonga Ngomo, and Muhammad Saleem.
“When Is the Peak Performance Reached? An Analysis of RDF Triple Stores.” In Studies
on the Semantic Web. IOS Press, 2021. https://doi.org/10.3233/ssw210042.
ieee: H. Khan, A. Manzoor, A.-C. Ngonga Ngomo, and M. Saleem, “When is the Peak
Performance Reached? An Analysis of RDF Triple Stores,” in Studies on the Semantic
Web, IOS Press, 2021.
mla: Khan, Hashim, et al. “When Is the Peak Performance Reached? An Analysis of
RDF Triple Stores.” Studies on the Semantic Web, IOS Press, 2021, doi:10.3233/ssw210042.
short: 'H. Khan, A. Manzoor, A.-C. Ngonga Ngomo, M. Saleem, in: Studies on the Semantic
Web, IOS Press, 2021.'
date_created: 2024-06-04T12:25:53Z
date_updated: 2025-09-11T11:39:47Z
department:
- _id: '574'
doi: 10.3233/ssw210042
language:
- iso: eng
publication: Studies on the Semantic Web
publication_identifier:
issn:
- 1868-1158
- 2215-0870
publication_status: published
publisher: IOS Press
status: public
title: When is the Peak Performance Reached? An Analysis of RDF Triple Stores
type: book_chapter
user_id: '77309'
year: '2021'
...
---
_id: '16935'
author:
- first_name: Diego Campos
full_name: Moussalem, Diego Campos
last_name: Moussalem
citation:
ama: Moussalem DC. Knowledge Graphs for Multilingual Language Translation and
Generation.; 2020. doi:10.17619/UNIPB/1-980
apa: Moussalem, D. C. (2020). Knowledge Graphs for Multilingual Language Translation
and Generation. https://doi.org/10.17619/UNIPB/1-980
bibtex: '@book{Moussalem_2020, title={Knowledge Graphs for Multilingual Language
Translation and Generation}, DOI={10.17619/UNIPB/1-980},
author={Moussalem, Diego Campos}, year={2020} }'
chicago: Moussalem, Diego Campos. Knowledge Graphs for Multilingual Language
Translation and Generation, 2020. https://doi.org/10.17619/UNIPB/1-980.
ieee: D. C. Moussalem, Knowledge Graphs for Multilingual Language Translation
and Generation. 2020.
mla: Moussalem, Diego Campos. Knowledge Graphs for Multilingual Language Translation
and Generation. 2020, doi:10.17619/UNIPB/1-980.
short: D.C. Moussalem, Knowledge Graphs for Multilingual Language Translation and
Generation, 2020.
date_created: 2020-05-05T06:16:29Z
date_updated: 2022-11-30T13:43:53Z
department:
- _id: '574'
doi: 10.17619/UNIPB/1-980
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
status: public
supervisor:
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
title: Knowledge Graphs for Multilingual Language Translation and Generation
type: dissertation
user_id: '477'
year: '2020'
...
---
_id: '20141'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Yan
full_name: Scholten, Yan
last_name: Scholten
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet:
Towards a Causality Graph Extracted from the Web. In: Proceedings of the 28th
ACM International Conference on Information and Knowledge Management (CIKM 2020).
; 2020:3023-3030. doi:10.1145/3340531.3412763'
apa: 'Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., & Potthast,
M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings
of the 28th ACM International Conference on Information and Knowledge Management
(CIKM 2020), 3023–3030. https://doi.org/10.1145/3340531.3412763'
bibtex: '@inproceedings{Heindorf_Scholten_Wachsmuth_Ngonga Ngomo_Potthast_2020,
title={CauseNet: Towards a Causality Graph Extracted from the Web}, DOI={10.1145/3340531.3412763},
booktitle={Proceedings of the 28th ACM International Conference on Information
and Knowledge Management (CIKM 2020)}, author={Heindorf, Stefan and Scholten,
Yan and Wachsmuth, Henning and Ngonga Ngomo, Axel-Cyrille and Potthast, Martin},
year={2020}, pages={3023–3030} }'
chicago: 'Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga
Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from
the Web.” In Proceedings of the 28th ACM International Conference on Information
and Knowledge Management (CIKM 2020), 3023–30, 2020. https://doi.org/10.1145/3340531.3412763.'
ieee: 'S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, and M. Potthast,
“CauseNet: Towards a Causality Graph Extracted from the Web,” in Proceedings
of the 28th ACM International Conference on Information and Knowledge Management
(CIKM 2020), 2020, pp. 3023–3030, doi: 10.1145/3340531.3412763.'
mla: 'Heindorf, Stefan, et al. “CauseNet: Towards a Causality Graph Extracted from
the Web.” Proceedings of the 28th ACM International Conference on Information
and Knowledge Management (CIKM 2020), 2020, pp. 3023–30, doi:10.1145/3340531.3412763.'
short: 'S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, M. Potthast,
in: Proceedings of the 28th ACM International Conference on Information and Knowledge
Management (CIKM 2020), 2020, pp. 3023–3030.'
date_created: 2020-10-20T13:11:14Z
date_updated: 2022-10-15T19:57:01Z
department:
- _id: '574'
doi: 10.1145/3340531.3412763
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2020/CIKM-20/heindorf_2020a_public.pdf
oa: '1'
page: 3023-3030
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the 28th ACM International Conference on Information and
Knowledge Management (CIKM 2020)
status: public
title: 'CauseNet: Towards a Causality Graph Extracted from the Web'
type: conference
user_id: '11871'
year: '2020'
...
---
_id: '29042'
author:
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- 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, Sherif M, Saleem M, Conrads F, Ngonga Ngomo A-C. Benchmarking the
Lifecycle of Knowledge Graphs. In: Tiddi I, Lécué F, Hitzler P, eds. Knowledge
Graphs for EXplainable Artificial Intelligence: Foundations, Applications and
Challenges. IOS Press; 2020:73-97. doi:10.3233/SSW200012'
apa: 'Röder, M., Sherif, M., Saleem, M., Conrads, F., & Ngonga Ngomo, A.-C.
(2020). Benchmarking the Lifecycle of Knowledge Graphs. In I. Tiddi, F. Lécué,
& P. Hitzler (Eds.), Knowledge Graphs for eXplainable Artificial Intelligence:
Foundations, Applications and Challenges (pp. 73–97). IOS Press. https://doi.org/10.3233/SSW200012'
bibtex: '@inbook{Röder_Sherif_Saleem_Conrads_Ngonga Ngomo_2020, title={Benchmarking
the Lifecycle of Knowledge Graphs}, DOI={10.3233/SSW200012},
booktitle={Knowledge Graphs for eXplainable Artificial Intelligence: Foundations,
Applications and Challenges}, publisher={IOS Press}, author={Röder, Michael and
Sherif, Mohamed and Saleem, Muhammad and Conrads, Felix and Ngonga Ngomo, Axel-Cyrille},
editor={Tiddi, Ilaria and Lécué, Freddy and Hitzler, Pascal}, year={2020}, pages={73–97}
}'
chicago: 'Röder, Michael, Mohamed Sherif, Muhammad Saleem, Felix Conrads, and Axel-Cyrille
Ngonga Ngomo. “Benchmarking the Lifecycle of Knowledge Graphs.” In Knowledge
Graphs for EXplainable Artificial Intelligence: Foundations, Applications and
Challenges, edited by Ilaria Tiddi, Freddy Lécué, and Pascal Hitzler, 73–97.
IOS Press, 2020. https://doi.org/10.3233/SSW200012.'
ieee: 'M. Röder, M. Sherif, M. Saleem, F. Conrads, and A.-C. Ngonga Ngomo, “Benchmarking
the Lifecycle of Knowledge Graphs,” in Knowledge Graphs for eXplainable Artificial
Intelligence: Foundations, Applications and Challenges, I. Tiddi, F. Lécué,
and P. Hitzler, Eds. IOS Press, 2020, pp. 73–97.'
mla: 'Röder, Michael, et al. “Benchmarking the Lifecycle of Knowledge Graphs.” Knowledge
Graphs for EXplainable Artificial Intelligence: Foundations, Applications and
Challenges, edited by Ilaria Tiddi et al., IOS Press, 2020, pp. 73–97, doi:10.3233/SSW200012.'
short: 'M. Röder, M. Sherif, M. Saleem, F. Conrads, A.-C. Ngonga Ngomo, in: I. Tiddi,
F. Lécué, P. Hitzler (Eds.), Knowledge Graphs for EXplainable Artificial Intelligence:
Foundations, Applications and Challenges, IOS Press, 2020, pp. 73–97.'
date_created: 2021-12-17T10:06:12Z
date_updated: 2023-08-16T09:32:51Z
department:
- _id: '574'
doi: 10.3233/SSW200012
editor:
- first_name: Ilaria
full_name: Tiddi, Ilaria
last_name: Tiddi
- first_name: Freddy
full_name: Lécué, Freddy
last_name: Lécué
- first_name: Pascal
full_name: Hitzler, Pascal
last_name: Hitzler
keyword:
- dice group_aksw roeder sherif saleem fconrads ngonga
language:
- iso: eng
page: 73-97
publication: 'Knowledge Graphs for eXplainable Artificial Intelligence: Foundations,
Applications and Challenges'
publisher: IOS Press
status: public
title: Benchmarking the Lifecycle of Knowledge Graphs
type: book_chapter
user_id: '67234'
year: '2020'
...
---
_id: '15921'
abstract:
- lang: eng
text: "Ranking plays a central role in a large number of applications driven by
RDF knowledge graphs. Over the last years, many popular RDF knowledge graphs have
grown so large that rankings for the facts they contain cannot be computed directly
using the currently common 64-bit platforms. In this paper, we tackle two problems:\r\nComputing
ranks on such large knowledge bases efficiently and incrementally. First, we present
D-HARE, a distributed approach for computing ranks on very large knowledge graphs.
D-HARE assumes the random surfer model and relies on data partitioning to compute
matrix multiplications and transpositions on disk for matrices of arbitrary size.
Moreover, the data partitioning underlying D-HARE allows the execution of most
of its steps in parallel.\r\nAs very large knowledge graphs are often updated
periodically, we tackle the incremental computation of ranks on large knowledge
bases as a second problem. We address this problem by presenting\r\nI-HARE, an
approximation technique for calculating the overall ranking scores of a knowledge
without the need to recalculate the ranking from scratch at each new revision.
We evaluate our approaches by calculating ranks on the 3 × 10^9 and 2.4 × 10^9
triples from Wikidata resp. LinkedGeoData. Our evaluation demonstrates\r\nthat
D-HARE is the first holistic approach for computing ranks on very large RDF knowledge
graphs. In addition, our incremental approach achieves a root mean squared error
of less than 10E−7 in the best case. Both D-HARE\r\n and I-HARE are open-source
and are available at: https://github.com/dice-group/incrementalHARE.\r\n"
author:
- first_name: Abdelmoneim Amer
full_name: Desouki, Abdelmoneim Amer
last_name: Desouki
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs.
In: Proceedings of the 30th ACM Conference on Hypertext and Social Media -
HT ’19. ACM; 2019:163-171. doi:10.1145/3342220.3343660'
apa: Desouki, A. A., Röder, M., & Ngonga Ngomo, A.-C. (2019). Ranking on Very
Large Knowledge Graphs. In Proceedings of the 30th ACM Conference on Hypertext
and Social Media - HT ’19 (pp. 163–171). ACM. https://doi.org/10.1145/3342220.3343660
bibtex: '@inproceedings{Desouki_Röder_Ngonga Ngomo_2019, title={Ranking on Very
Large Knowledge Graphs}, DOI={10.1145/3342220.3343660},
booktitle={Proceedings of the 30th ACM Conference on Hypertext and Social Media
- HT ’19}, publisher={ACM}, author={Desouki, Abdelmoneim Amer and Röder, Michael
and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={163–171} }'
chicago: Desouki, Abdelmoneim Amer, Michael Röder, and Axel-Cyrille Ngonga Ngomo.
“Ranking on Very Large Knowledge Graphs.” In Proceedings of the 30th ACM Conference
on Hypertext and Social Media - HT ’19, 163–71. ACM, 2019. https://doi.org/10.1145/3342220.3343660.
ieee: A. A. Desouki, M. Röder, and A.-C. Ngonga Ngomo, “Ranking on Very Large Knowledge
Graphs,” in Proceedings of the 30th ACM Conference on Hypertext and Social
Media - HT ’19, 2019, pp. 163–171.
mla: Desouki, Abdelmoneim Amer, et al. “Ranking on Very Large Knowledge Graphs.”
Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT
’19, ACM, 2019, pp. 163–71, doi:10.1145/3342220.3343660.
short: 'A.A. Desouki, M. Röder, A.-C. Ngonga Ngomo, in: Proceedings of the 30th
ACM Conference on Hypertext and Social Media - HT ’19, ACM, 2019, pp. 163–171.'
conference:
end_date: 2019-09-20
name: 30th ACM Conference on Hypertext and Social Media
start_date: 2019-09-17
date_created: 2020-02-18T16:39:35Z
date_updated: 2022-01-06T06:52:41Z
department:
- _id: '574'
doi: 10.1145/3342220.3343660
keyword:
- Knowledge Graphs
- Ranking
- RDF
language:
- iso: eng
page: 163-171
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the 30th ACM Conference on Hypertext and Social Media -
HT '19
publication_identifier:
isbn:
- '9781450368858'
publication_status: published
publisher: ACM
status: public
title: Ranking on Very Large Knowledge Graphs
type: conference
user_id: '69382'
year: '2019'
...
---
_id: '46539'
abstract:
- lang: eng
text: This paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign.
Like in 2012, when we transitioned the evaluation to the SEALS platform, we have
also conducted a pre-campaign to assess the feasibility of moving to the HOBBIT
platform. We report the experiences of this precampaign and discuss the future
steps for the OAEI.
author:
- first_name: Ernesto
full_name: Jiménez-Ruiz, Ernesto
last_name: Jiménez-Ruiz
- first_name: Tzanina
full_name: Saveta, Tzanina
last_name: Saveta
- first_name: Ondrej
full_name: Zamazal, Ondrej
last_name: Zamazal
- first_name: Sven
full_name: Hertling, Sven
last_name: Hertling
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Irini
full_name: Fundulaki, Irini
last_name: Fundulaki
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Amina
full_name: Annane, Amina
last_name: Annane
- first_name: Zohra
full_name: Bellahsene, Zohra
last_name: Bellahsene
- first_name: Sadok Ben
full_name: Yahia, Sadok Ben
last_name: Yahia
- first_name: Gayo
full_name: Diallo, Gayo
last_name: Diallo
- first_name: Daniel
full_name: Faria, Daniel
last_name: Faria
- first_name: Marouen
full_name: Kachroudi, Marouen
last_name: Kachroudi
- first_name: Abderrahmane
full_name: Khiat, Abderrahmane
last_name: Khiat
- first_name: Patrick
full_name: Lambrix, Patrick
last_name: Lambrix
- first_name: Huanyu
full_name: Li, Huanyu
last_name: Li
- first_name: Maximilian
full_name: Mackeprang, Maximilian
last_name: Mackeprang
- first_name: Majid
full_name: Mohammadi, Majid
last_name: Mohammadi
- first_name: Maciej
full_name: Rybinski, Maciej
last_name: Rybinski
- first_name: Booma Sowkarthiga
full_name: Balasubramani, Booma Sowkarthiga
last_name: Balasubramani
- first_name: Cassia
full_name: Trojahn, Cassia
last_name: Trojahn
citation:
ama: 'Jiménez-Ruiz E, Saveta T, Zamazal O, et al. Introducing the HOBBIT platform
into the Ontology Alignment Evaluation Campaign. In: Proceedings of the Ontology
Matching Workshop 2018. ; 2018.'
apa: Jiménez-Ruiz, E., Saveta, T., Zamazal, O., Hertling, S., Röder, M., Fundulaki,
I., Ngonga Ngomo, A.-C., Sherif, M., Annane, A., Bellahsene, Z., Yahia, S. B.,
Diallo, G., Faria, D., Kachroudi, M., Khiat, A., Lambrix, P., Li, H., Mackeprang,
M., Mohammadi, M., … Trojahn, C. (2018). Introducing the HOBBIT platform into
the Ontology Alignment Evaluation Campaign. Proceedings of the Ontology Matching
Workshop 2018.
bibtex: '@inproceedings{Jiménez-Ruiz_Saveta_Zamazal_Hertling_Röder_Fundulaki_Ngonga
Ngomo_Sherif_Annane_Bellahsene_et al._2018, title={Introducing the HOBBIT platform
into the Ontology Alignment Evaluation Campaign}, booktitle={Proceedings of the
Ontology Matching Workshop 2018}, author={Jiménez-Ruiz, Ernesto and Saveta, Tzanina
and Zamazal, Ondrej and Hertling, Sven and Röder, Michael and Fundulaki, Irini
and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed and Annane, Amina and Bellahsene,
Zohra and et al.}, year={2018} }'
chicago: Jiménez-Ruiz, Ernesto, Tzanina Saveta, Ondrej Zamazal, Sven Hertling, Michael
Röder, Irini Fundulaki, Axel-Cyrille Ngonga Ngomo, et al. “Introducing the HOBBIT
Platform into the Ontology Alignment Evaluation Campaign.” In Proceedings of
the Ontology Matching Workshop 2018, 2018.
ieee: E. Jiménez-Ruiz et al., “Introducing the HOBBIT platform into the Ontology
Alignment Evaluation Campaign,” 2018.
mla: Jiménez-Ruiz, Ernesto, et al. “Introducing the HOBBIT Platform into the Ontology
Alignment Evaluation Campaign.” Proceedings of the Ontology Matching Workshop
2018, 2018.
short: 'E. Jiménez-Ruiz, T. Saveta, O. Zamazal, S. Hertling, M. Röder, I. Fundulaki,
A.-C. Ngonga Ngomo, M. Sherif, A. Annane, Z. Bellahsene, S.B. Yahia, G. Diallo,
D. Faria, M. Kachroudi, A. Khiat, P. Lambrix, H. Li, M. Mackeprang, M. Mohammadi,
M. Rybinski, B.S. Balasubramani, C. Trojahn, in: Proceedings of the Ontology Matching
Workshop 2018, 2018.'
date_created: 2023-08-16T10:31:40Z
date_updated: 2026-03-09T12:49:48Z
department:
- _id: '574'
keyword:
- 2018 DICE SIMBA group_aksw ngonga projecthobbit roeder sherif
language:
- iso: eng
publication: Proceedings of the Ontology Matching Workshop 2018
status: public
title: Introducing the HOBBIT platform into the Ontology Alignment Evaluation Campaign
type: conference
user_id: '14972'
year: '2018'
...
---
_id: '57234'
author:
- first_name: Bianca
full_name: Meise, Bianca
last_name: Meise
- first_name: Franziska Margarete
full_name: Schloots, Franziska Margarete
id: '33185'
last_name: Schloots
- first_name: Jörg
full_name: Müller-Lietzkow, Jörg
last_name: Müller-Lietzkow
- first_name: Dorothee M.
full_name: Meister, Dorothee M.
last_name: Meister
citation:
ama: 'Meise B, Schloots FM, Müller-Lietzkow J, Meister DM. Interdisziplinäres Projektmanagement
– Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen
Kontexten. In: Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung.
Springer Fachmedien Wiesbaden; 2017. doi:10.1007/978-3-658-20265-1_18'
apa: Meise, B., Schloots, F. M., Müller-Lietzkow, J., & Meister, D. M. (2017).
Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für
Kooperationsverbünde in akademischen Kontexten. In Interdisziplinäre Perspektiven
zur Zukunft der Wertschöpfung. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-20265-1_18
bibtex: '@inbook{Meise_Schloots_Müller-Lietzkow_Meister_2017, place={Wiesbaden},
title={Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen
für Kooperationsverbünde in akademischen Kontexten}, DOI={10.1007/978-3-658-20265-1_18},
booktitle={Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung}, publisher={Springer
Fachmedien Wiesbaden}, author={Meise, Bianca and Schloots, Franziska Margarete
and Müller-Lietzkow, Jörg and Meister, Dorothee M.}, year={2017} }'
chicago: 'Meise, Bianca, Franziska Margarete Schloots, Jörg Müller-Lietzkow, and
Dorothee M. Meister. “Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen
für Kooperationsverbünde in akademischen Kontexten.” In Interdisziplinäre Perspektiven
zur Zukunft der Wertschöpfung. Wiesbaden: Springer Fachmedien Wiesbaden, 2017.
https://doi.org/10.1007/978-3-658-20265-1_18.'
ieee: 'B. Meise, F. M. Schloots, J. Müller-Lietzkow, and D. M. Meister, “Interdisziplinäres
Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde
in akademischen Kontexten,” in Interdisziplinäre Perspektiven zur Zukunft der
Wertschöpfung, Wiesbaden: Springer Fachmedien Wiesbaden, 2017.'
mla: Meise, Bianca, et al. “Interdisziplinäres Projektmanagement – Strategische
Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten.” Interdisziplinäre
Perspektiven zur Zukunft der Wertschöpfung, Springer Fachmedien Wiesbaden,
2017, doi:10.1007/978-3-658-20265-1_18.
short: 'B. Meise, F.M. Schloots, J. Müller-Lietzkow, D.M. Meister, in: Interdisziplinäre
Perspektiven zur Zukunft der Wertschöpfung, Springer Fachmedien Wiesbaden, Wiesbaden,
2017.'
date_created: 2024-11-19T11:30:16Z
date_updated: 2024-11-19T11:31:51Z
department:
- _id: '574'
doi: 10.1007/978-3-658-20265-1_18
language:
- iso: ger
place: Wiesbaden
publication: Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung
publication_identifier:
isbn:
- '9783658202644'
- '9783658202651'
publication_status: published
publisher: Springer Fachmedien Wiesbaden
status: public
title: Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für
Kooperationsverbünde in akademischen Kontexten
type: book_chapter
user_id: '33185'
year: '2017'
...