---
_id: '25390'
author:
- first_name: Diego
full_name: Moussallem, Diego
last_name: Moussallem
- first_name: Mihael
full_name: Arcan, Mihael
last_name: Arcan
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Paul
full_name: Buitelaar, Paul
last_name: Buitelaar
citation:
ama: Moussallem D, Arcan M, Ngonga Ngomo A-C, Buitelaar P. Augmenting Neural Machine
Translation with Knowledge Graphs. CoRR. 2019;abs/1902.08816.
apa: Moussallem, D., Arcan, M., Ngonga Ngomo, A.-C., & Buitelaar, P. (2019).
Augmenting Neural Machine Translation with Knowledge Graphs. CoRR, abs/1902.08816.
bibtex: '@article{Moussallem_Arcan_Ngonga Ngomo_Buitelaar_2019, title={Augmenting
Neural Machine Translation with Knowledge Graphs}, volume={abs/1902.08816}, journal={CoRR},
author={Moussallem, Diego and Arcan, Mihael and Ngonga Ngomo, Axel-Cyrille and
Buitelaar, Paul}, year={2019} }'
chicago: Moussallem, Diego, Mihael Arcan, Axel-Cyrille Ngonga Ngomo, and Paul Buitelaar.
“Augmenting Neural Machine Translation with Knowledge Graphs.” CoRR abs/1902.08816
(2019).
ieee: D. Moussallem, M. Arcan, A.-C. Ngonga Ngomo, and P. Buitelaar, “Augmenting
Neural Machine Translation with Knowledge Graphs,” CoRR, vol. abs/1902.08816,
2019.
mla: Moussallem, Diego, et al. “Augmenting Neural Machine Translation with Knowledge
Graphs.” CoRR, vol. abs/1902.08816, 2019.
short: D. Moussallem, M. Arcan, A.-C. Ngonga Ngomo, P. Buitelaar, CoRR abs/1902.08816
(2019).
date_created: 2021-10-04T21:49:18Z
date_updated: 2022-01-06T06:57:02Z
language:
- iso: eng
publication: CoRR
status: public
title: Augmenting Neural Machine Translation with Knowledge Graphs
type: journal_article
user_id: '15526'
volume: abs/1902.08816
year: '2019'
...
---
_id: '25391'
author:
- first_name: Abdelmoneim
full_name: Amer Desouki, Abdelmoneim
last_name: Amer Desouki
- 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, Röder M, Ngonga Ngomo A-C. topFiberM: Scalable and Efficient
Boolean Matrix Factorization. CoRR. 2019;abs/1903.10326.'
apa: 'Amer Desouki, A., Röder, M., & Ngonga Ngomo, A.-C. (2019). topFiberM:
Scalable and Efficient Boolean Matrix Factorization. CoRR, abs/1903.10326.'
bibtex: '@article{Amer Desouki_Röder_Ngonga Ngomo_2019, title={topFiberM: Scalable
and Efficient Boolean Matrix Factorization}, volume={abs/1903.10326}, journal={CoRR},
author={Amer Desouki, Abdelmoneim and Röder, Michael and Ngonga Ngomo, Axel-Cyrille},
year={2019} }'
chicago: 'Amer Desouki, Abdelmoneim, Michael Röder, and Axel-Cyrille Ngonga Ngomo.
“TopFiberM: Scalable and Efficient Boolean Matrix Factorization.” CoRR
abs/1903.10326 (2019).'
ieee: 'A. Amer Desouki, M. Röder, and A.-C. Ngonga Ngomo, “topFiberM: Scalable and
Efficient Boolean Matrix Factorization,” CoRR, vol. abs/1903.10326, 2019.'
mla: 'Amer Desouki, Abdelmoneim, et al. “TopFiberM: Scalable and Efficient Boolean
Matrix Factorization.” CoRR, vol. abs/1903.10326, 2019.'
short: A. Amer Desouki, M. Röder, A.-C. Ngonga Ngomo, CoRR abs/1903.10326 (2019).
date_created: 2021-10-04T21:50:03Z
date_updated: 2022-01-06T06:57:02Z
language:
- iso: eng
publication: CoRR
status: public
title: 'topFiberM: Scalable and Efficient Boolean Matrix Factorization'
type: journal_article
user_id: '15526'
volume: abs/1903.10326
year: '2019'
...
---
_id: '25392'
author:
- first_name: Diego
full_name: Moussallem, Diego
last_name: Moussallem
- first_name: Matthias
full_name: Wauer, Matthias
last_name: Wauer
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Moussallem D, Wauer M, Ngonga Ngomo A-C. Semantic Web for Machine Translation:
Challenges and Directions. CoRR. 2019;abs/1907.10676.'
apa: 'Moussallem, D., Wauer, M., & Ngonga Ngomo, A.-C. (2019). Semantic Web
for Machine Translation: Challenges and Directions. CoRR, abs/1907.10676.'
bibtex: '@article{Moussallem_Wauer_Ngonga Ngomo_2019, title={Semantic Web for Machine
Translation: Challenges and Directions}, volume={abs/1907.10676}, journal={CoRR},
author={Moussallem, Diego and Wauer, Matthias and Ngonga Ngomo, Axel-Cyrille},
year={2019} }'
chicago: 'Moussallem, Diego, Matthias Wauer, and Axel-Cyrille Ngonga Ngomo. “Semantic
Web for Machine Translation: Challenges and Directions.” CoRR abs/1907.10676
(2019).'
ieee: 'D. Moussallem, M. Wauer, and A.-C. Ngonga Ngomo, “Semantic Web for Machine
Translation: Challenges and Directions,” CoRR, vol. abs/1907.10676, 2019.'
mla: 'Moussallem, Diego, et al. “Semantic Web for Machine Translation: Challenges
and Directions.” CoRR, vol. abs/1907.10676, 2019.'
short: D. Moussallem, M. Wauer, A.-C. Ngonga Ngomo, CoRR abs/1907.10676 (2019).
date_created: 2021-10-04T21:50:47Z
date_updated: 2022-01-06T06:57:02Z
language:
- iso: eng
publication: CoRR
status: public
title: 'Semantic Web for Machine Translation: Challenges and Directions'
type: journal_article
user_id: '15526'
volume: abs/1907.10676
year: '2019'
...
---
_id: '25393'
author:
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Diego
full_name: Moussallem, Diego
last_name: Moussallem
- first_name: Lorenz
full_name: Bühmann, Lorenz
last_name: Bühmann
citation:
ama: Ngonga Ngomo A-C, Moussallem D, Bühmann L. A Holistic Natural Language Generation
Framework for the Semantic Web. CoRR. 2019;abs/1911.01248.
apa: Ngonga Ngomo, A.-C., Moussallem, D., & Bühmann, L. (2019). A Holistic Natural
Language Generation Framework for the Semantic Web. CoRR, abs/1911.01248.
bibtex: '@article{Ngonga Ngomo_Moussallem_Bühmann_2019, title={A Holistic Natural
Language Generation Framework for the Semantic Web}, volume={abs/1911.01248},
journal={CoRR}, author={Ngonga Ngomo, Axel-Cyrille and Moussallem, Diego and Bühmann,
Lorenz}, year={2019} }'
chicago: Ngonga Ngomo, Axel-Cyrille, Diego Moussallem, and Lorenz Bühmann. “A Holistic
Natural Language Generation Framework for the Semantic Web.” CoRR abs/1911.01248
(2019).
ieee: A.-C. Ngonga Ngomo, D. Moussallem, and L. Bühmann, “A Holistic Natural Language
Generation Framework for the Semantic Web,” CoRR, vol. abs/1911.01248,
2019.
mla: Ngonga Ngomo, Axel-Cyrille, et al. “A Holistic Natural Language Generation
Framework for the Semantic Web.” CoRR, vol. abs/1911.01248, 2019.
short: A.-C. Ngonga Ngomo, D. Moussallem, L. Bühmann, CoRR abs/1911.01248 (2019).
date_created: 2021-10-04T21:51:33Z
date_updated: 2022-01-06T06:57:02Z
language:
- iso: eng
publication: CoRR
status: public
title: A Holistic Natural Language Generation Framework for the Semantic Web
type: journal_article
user_id: '15526'
volume: abs/1911.01248
year: '2019'
...
---
_id: '25394'
author:
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Geraldo
full_name: de Souza, Geraldo
last_name: de Souza
- first_name: Denis
full_name: Kuchelev, Denis
last_name: Kuchelev
- first_name: Abdelmoneim
full_name: Amer Desouki, Abdelmoneim
last_name: Amer Desouki
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Röder M, de Souza G, Kuchelev D, Amer Desouki A, Ngonga Ngomo A-C. ORCA: a
Benchmark for Data Web Crawlers. CoRR. 2019;abs/1912.08026.'
apa: 'Röder, M., de Souza, G., Kuchelev, D., Amer Desouki, A., & Ngonga Ngomo,
A.-C. (2019). ORCA: a Benchmark for Data Web Crawlers. CoRR, abs/1912.08026.'
bibtex: '@article{Röder_de Souza_Kuchelev_Amer Desouki_Ngonga Ngomo_2019, title={ORCA:
a Benchmark for Data Web Crawlers}, volume={abs/1912.08026}, journal={CoRR}, author={Röder,
Michael and de Souza, Geraldo and Kuchelev, Denis and Amer Desouki, Abdelmoneim
and Ngonga Ngomo, Axel-Cyrille}, year={2019} }'
chicago: 'Röder, Michael, Geraldo de Souza, Denis Kuchelev, Abdelmoneim Amer Desouki,
and Axel-Cyrille Ngonga Ngomo. “ORCA: A Benchmark for Data Web Crawlers.” CoRR
abs/1912.08026 (2019).'
ieee: 'M. Röder, G. de Souza, D. Kuchelev, A. Amer Desouki, and A.-C. Ngonga Ngomo,
“ORCA: a Benchmark for Data Web Crawlers,” CoRR, vol. abs/1912.08026, 2019.'
mla: 'Röder, Michael, et al. “ORCA: A Benchmark for Data Web Crawlers.” CoRR,
vol. abs/1912.08026, 2019.'
short: M. Röder, G. de Souza, D. Kuchelev, A. Amer Desouki, A.-C. Ngonga Ngomo,
CoRR abs/1912.08026 (2019).
date_created: 2021-10-04T21:52:18Z
date_updated: 2022-01-06T06:57:02Z
language:
- iso: eng
publication: CoRR
status: public
title: 'ORCA: a Benchmark for Data Web Crawlers'
type: journal_article
user_id: '15526'
volume: abs/1912.08026
year: '2019'
...
---
_id: '29037'
abstract:
- lang: eng
text: Existing technologies employ different machine learning approaches to predict
disasters from historical environmental data. However, for short-term disasters
(e.g., earthquakes), historical data alone has a limited prediction capability.
In this work, we consider social media as a supplementary source of knowledge
in addition to historical environmental data. Further, we build a joint model
that learns from disaster-related tweets and environmental data to improve prediction.
We propose the combination of semantically-enriched word embedding to represent
entities in tweets with their semantics representations computed with the traditional
word2vec. Our experiments show that our proposed approach outperforms the accuracy
of state-of-the-art models in disaster prediction.
author:
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Zahera HMA, Sherif M, Ngonga Ngomo A-C. Jointly Learning from Social Media
and Environmental Data for Typhoon Intensity Prediction. In: K-CAP 2019: Knowledge
Capture Conference. ; 2019:4.'
apa: 'Zahera, H. M. A., Sherif, M., & Ngonga Ngomo, A.-C. (2019). Jointly Learning
from Social Media and Environmental Data for Typhoon Intensity Prediction. K-CAP
2019: Knowledge Capture Conference, 4.'
bibtex: '@inproceedings{Zahera_Sherif_Ngonga Ngomo_2019, title={Jointly Learning
from Social Media and Environmental Data for Typhoon Intensity Prediction}, booktitle={K-CAP
2019: Knowledge Capture Conference}, author={Zahera, Hamada Mohamed Abdelsamee
and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={4} }'
chicago: 'Zahera, Hamada Mohamed Abdelsamee, Mohamed Sherif, and Axel-Cyrille Ngonga
Ngomo. “Jointly Learning from Social Media and Environmental Data for Typhoon
Intensity Prediction.” In K-CAP 2019: Knowledge Capture Conference, 4,
2019.'
ieee: 'H. M. A. Zahera, M. Sherif, and A.-C. Ngonga Ngomo, “Jointly Learning from
Social Media and Environmental Data for Typhoon Intensity Prediction,” in K-CAP
2019: Knowledge Capture Conference, 2019, p. 4.'
mla: 'Zahera, Hamada Mohamed Abdelsamee, et al. “Jointly Learning from Social Media
and Environmental Data for Typhoon Intensity Prediction.” K-CAP 2019: Knowledge
Capture Conference, 2019, p. 4.'
short: 'H.M.A. Zahera, M. Sherif, A.-C. Ngonga Ngomo, in: K-CAP 2019: Knowledge
Capture Conference, 2019, p. 4.'
date_created: 2021-12-17T10:05:07Z
date_updated: 2023-08-16T09:24:21Z
keyword:
- sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:simba ngonga simba zahera
sherif solide limboproject opal group\_aksw dice
language:
- iso: eng
page: '4'
publication: 'K-CAP 2019: Knowledge Capture Conference'
status: public
title: Jointly Learning from Social Media and Environmental Data for Typhoon Intensity
Prediction
type: conference
user_id: '67234'
year: '2019'
...
---
_id: '29011'
abstract:
- lang: eng
text: In this paper we present LimesWebUI, our web interface of Limes. Limes, the
Link Discovery Framework for Metric Spaces, is a framework for dis- covering links
between entities contained in Linked Data sources. LimesWebUI assists the end
user during the link discovery process. By representing the link specifications
(LS) as interlocking blocks, our interface eases the manual creation of links
for users who already know which LS they would like to execute. How- ever, most
users do not know which LS suits their linking task best and therefore need help
throughout this process. Hence, our interface provides wizards which allow the
easy configuration of many link discovery machine learning algorithms, that does
not require the user to enter a manual LS. We evaluate the usability of the interface
by using the standard system usability scale questionnaire. Our over- all usability
score of 76.5 suggests that the online interface is consistent, easy to use, and
the various functions of the system are well integrated.
author:
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Svetlana
full_name: Pestryakova, Svetlana
last_name: Pestryakova
- first_name: Kevin
full_name: Dreßler, Kevin
id: '78256'
last_name: Dreßler
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Sherif M, Pestryakova S, Dreßler K, Ngonga Ngomo A-C. LimesWebUI – Link Discovery
Made Simple. In: 18th International Semantic Web Conference (ISWC 2019).
CEUR-WS.org; 2019.'
apa: Sherif, M., Pestryakova, S., Dreßler, K., & Ngonga Ngomo, A.-C. (2019).
LimesWebUI – Link Discovery Made Simple. 18th International Semantic Web Conference
(ISWC 2019).
bibtex: '@inproceedings{Sherif_Pestryakova_Dreßler_Ngonga Ngomo_2019, title={LimesWebUI
– Link Discovery Made Simple}, booktitle={18th International Semantic Web Conference
(ISWC 2019)}, publisher={CEUR-WS.org}, author={Sherif, Mohamed and Pestryakova,
Svetlana and Dreßler, Kevin and Ngonga Ngomo, Axel-Cyrille}, year={2019} }'
chicago: Sherif, Mohamed, Svetlana Pestryakova, Kevin Dreßler, and Axel-Cyrille
Ngonga Ngomo. “LimesWebUI – Link Discovery Made Simple.” In 18th International
Semantic Web Conference (ISWC 2019). CEUR-WS.org, 2019.
ieee: M. Sherif, S. Pestryakova, K. Dreßler, and A.-C. Ngonga Ngomo, “LimesWebUI
– Link Discovery Made Simple,” 2019.
mla: Sherif, Mohamed, et al. “LimesWebUI – Link Discovery Made Simple.” 18th
International Semantic Web Conference (ISWC 2019), CEUR-WS.org, 2019.
short: 'M. Sherif, S. Pestryakova, K. Dreßler, A.-C. Ngonga Ngomo, in: 18th International
Semantic Web Conference (ISWC 2019), CEUR-WS.org, 2019.'
date_created: 2021-12-17T09:54:17Z
date_updated: 2023-08-16T09:25:11Z
keyword:
- 2019 sys:relevantFor:infai group\_aksw simba sherif kevin ngonga Svetlana slipo
limes dice sage limbo opal
language:
- iso: eng
publication: 18th International Semantic Web Conference (ISWC 2019)
publisher: CEUR-WS.org
status: public
title: LimesWebUI – Link Discovery Made Simple
type: conference
user_id: '67234'
year: '2019'
...
---
_id: '29038'
abstract:
- lang: eng
text: An increasing number of heterogeneous datasets abiding by the Linked Data
paradigm is published everyday. Discovering links between these datasets is thus
central to achieving the vision behind the Data Web. Declarative Link Discovery
(LD) frameworks rely on complex Link Specification (LS) to express the conditions
under which two resources should be linked. Complex LS combine similarity measures
with thresholds to determine whether a given predicate holds between two resources.
State of the art LD frameworks rely mostly on string-based similarity measures
such as Levenshtein and Jaccard. However, string-based similarity measures often
fail to catch the similarity of resources with phonetically similar property values
when these property values are represented using different string representation
(e.g., names and street labels). In this paper, we evaluate the impact of using
phonetics-based similarities in the process of LD. Moreover, we evaluate the impact
of phonetic-based similarity measures on a state-of-the-art machine learning approach
used to generate LS. Our experiments suggest that the combination of string-based
and phonetic-based measures can improve the Fmeasures achieved by LD frameworks
on most datasets.
author:
- first_name: Abdullah Fathi Ahmed
full_name: Ahmed, Abdullah Fathi Ahmed
id: '29670'
last_name: Ahmed
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Ahmed AFA, Sherif M, Ngonga Ngomo A-C. Do your Resources Sound Similar? On
the Impact of Using Phonetic Similarity in Link Discovery. In: K-CAP 2019:
Knowledge Capture Conference. ; 2019.'
apa: 'Ahmed, A. F. A., Sherif, M., & Ngonga Ngomo, A.-C. (2019). Do your Resources
Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery. K-CAP
2019: Knowledge Capture Conference.'
bibtex: '@inproceedings{Ahmed_Sherif_Ngonga Ngomo_2019, title={Do your Resources
Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery},
booktitle={K-CAP 2019: Knowledge Capture Conference}, author={Ahmed, Abdullah
Fathi Ahmed and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2019} }'
chicago: 'Ahmed, Abdullah Fathi Ahmed, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo.
“Do Your Resources Sound Similar? On the Impact of Using Phonetic Similarity in
Link Discovery.” In K-CAP 2019: Knowledge Capture Conference, 2019.'
ieee: A. F. A. Ahmed, M. Sherif, and A.-C. Ngonga Ngomo, “Do your Resources Sound
Similar? On the Impact of Using Phonetic Similarity in Link Discovery,” 2019.
mla: 'Ahmed, Abdullah Fathi Ahmed, et al. “Do Your Resources Sound Similar? On the
Impact of Using Phonetic Similarity in Link Discovery.” K-CAP 2019: Knowledge
Capture Conference, 2019.'
short: 'A.F.A. Ahmed, M. Sherif, A.-C. Ngonga Ngomo, in: K-CAP 2019: Knowledge Capture
Conference, 2019.'
date_created: 2021-12-17T10:05:09Z
date_updated: 2023-08-16T09:35:21Z
keyword:
- sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:ngonga ahmed sherif solide
limboproject opal group_aksw dice
language:
- iso: eng
publication: 'K-CAP 2019: Knowledge Capture Conference'
status: public
title: Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity
in Link Discovery
type: conference
user_id: '67234'
year: '2019'
...
---
_id: '29012'
abstract:
- lang: eng
text: An increasing number and size of datasets abiding by the Linked Data paradigm
are published everyday. Discovering links between these datasets is thus central
to achieve the vision behind the Data Web. Declarative Link Discovery (LD) frameworks
rely on complex Link Specification (LS) to express the conditions under which
two resources should be linked. Understanding such LS is not a trivial task for
non-expert users, particularly when such users are interested in generating LS
to match their needs. Even if the user applies a machine learning algorithm for
the automatic generation of the required LS, the challenge of explaining the resultant
LS persists. Hence, providing explainable LS is the key challenge to enable users
who are unfamiliar with underlying LS technologies to use them effectively and
efficiently. In this paper, we address this problem by proposing a generic approach
that allows a LS to be verbalized, i.e., converted into understandable natural
language. We propose a summarization approach to the verbalized LS based on the
selectivity of the underlying LS. Our adequacy and fluency evaluations show that
our approach can generate complete and easily understandable natural language
descriptions even by lay users.
author:
- first_name: 'Abdullah '
full_name: 'Fathi Ahmed, Abdullah '
last_name: Fathi Ahmed
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Fathi Ahmed A, Sherif M, Ngonga Ngomo A-C. LSVS: Link Specification Verbalization
and Summarization. In: 24th International Conference on Applications of Natural
Language to Information Systems (NLDB 2019). Springer; 2019.'
apa: 'Fathi Ahmed, A., Sherif, M., & Ngonga Ngomo, A.-C. (2019). LSVS: Link
Specification Verbalization and Summarization. 24th International Conference
on Applications of Natural Language to Information Systems (NLDB 2019).'
bibtex: '@inproceedings{Fathi Ahmed_Sherif_Ngonga Ngomo_2019, title={LSVS: Link
Specification Verbalization and Summarization}, booktitle={24th International
Conference on Applications of Natural Language to Information Systems (NLDB 2019)},
publisher={Springer}, author={Fathi Ahmed, Abdullah and Sherif, Mohamed and Ngonga
Ngomo, Axel-Cyrille}, year={2019} }'
chicago: 'Fathi Ahmed, Abdullah , Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo.
“LSVS: Link Specification Verbalization and Summarization.” In 24th International
Conference on Applications of Natural Language to Information Systems (NLDB 2019).
Springer, 2019.'
ieee: 'A. Fathi Ahmed, M. Sherif, and A.-C. Ngonga Ngomo, “LSVS: Link Specification
Verbalization and Summarization,” 2019.'
mla: 'Fathi Ahmed, Abdullah, et al. “LSVS: Link Specification Verbalization and
Summarization.” 24th International Conference on Applications of Natural Language
to Information Systems (NLDB 2019), Springer, 2019.'
short: 'A. Fathi Ahmed, M. Sherif, A.-C. Ngonga Ngomo, in: 24th International Conference
on Applications of Natural Language to Information Systems (NLDB 2019), Springer,
2019.'
date_created: 2021-12-17T09:54:40Z
date_updated: 2023-08-16T10:06:20Z
keyword:
- 2019 sys:relevantFor:infai group\_aksw simba sherif ngonga ahmed slipo limes dice
sage limbo opal
language:
- iso: eng
publication: 24th International Conference on Applications of Natural Language to
Information Systems (NLDB 2019)
publisher: Springer
status: public
title: 'LSVS: Link Specification Verbalization and Summarization'
type: conference
user_id: '67234'
year: '2019'
...
---
_id: '29013'
abstract:
- lang: eng
text: Point of Interest (POI) data constitute the cornerstone of any application,
service or product even remotely related to our physical surroundings. From navigation
applications to social networks, tourism, and logistics, we use POI data to search,
communicate, decide and plan our actions. POIs are semantically diverse and spatio-temporally
evolving entities, having geographical, temporal and thematic relations. Currently,
integrating POI data to increase their coverage, timeliness, accuracy and value
is a resource-intensive and mostly manual process, with no specialized software
available to address the specific challenges of this task. In this paper, we present
an integrated toolkit for transforming, linking, fusing and enriching POI data,
and extracting additional value from them. In particular, we demonstrate how Linked
Data technologies can address the limitations, gaps and challenges of the current
landscape in Big POI data integration. We have built a prototype application that
enables users to define, manage and execute scalable POI data integration workflows
built on top of state-of-the-art software for geospatial Linked Data. The application
abstracts and hides away the underlying complexity, automates quality-assured
integration, scales efficiently for world-scale integration tasks and lowers the
entry barrier for end-users. Validated against real-world POI datasets in several
application domains, our system has shown great potential to address the requirements
and needs of cross-sector, cross-border and cross-lingual integration of Big POI
data.
author:
- first_name: Spiros
full_name: Athanasiou, Spiros
last_name: Athanasiou
- first_name: Giannopoulos
full_name: Giorgos, Giannopoulos
last_name: Giorgos
- first_name: Graux
full_name: Damien, Graux
last_name: Damien
- first_name: Karagiannakis
full_name: Nikos, Karagiannakis
last_name: Nikos
- first_name: Lehmann
full_name: Jens, Lehmann
last_name: Jens
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Patroumpas
full_name: Kostas, Patroumpas
last_name: Kostas
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Dimitrios
full_name: Skoutas, Dimitrios
last_name: Skoutas
citation:
ama: 'Athanasiou S, Giorgos G, Damien G, et al. Big POI data integration with Linked
Data technologies. In: International Conference on Extending Database Technology
2019, EDBT19. ; 2019.'
apa: Athanasiou, S., Giorgos, G., Damien, G., Nikos, K., Jens, L., Ngonga Ngomo,
A.-C., Kostas, P., Sherif, M., & Skoutas, D. (2019). Big POI data integration
with Linked Data technologies. International Conference on Extending Database
Technology 2019, EDBT19.
bibtex: '@inproceedings{Athanasiou_Giorgos_Damien_Nikos_Jens_Ngonga Ngomo_Kostas_Sherif_Skoutas_2019,
title={Big POI data integration with Linked Data technologies}, booktitle={International
Conference on Extending Database Technology 2019, EDBT19}, author={Athanasiou,
Spiros and Giorgos, Giannopoulos and Damien, Graux and Nikos, Karagiannakis and
Jens, Lehmann and Ngonga Ngomo, Axel-Cyrille and Kostas, Patroumpas and Sherif,
Mohamed and Skoutas, Dimitrios}, year={2019} }'
chicago: Athanasiou, Spiros, Giannopoulos Giorgos, Graux Damien, Karagiannakis Nikos,
Lehmann Jens, Axel-Cyrille Ngonga Ngomo, Patroumpas Kostas, Mohamed Sherif, and
Dimitrios Skoutas. “Big POI Data Integration with Linked Data Technologies.” In
International Conference on Extending Database Technology 2019, EDBT19,
2019.
ieee: S. Athanasiou et al., “Big POI data integration with Linked Data technologies,”
2019.
mla: Athanasiou, Spiros, et al. “Big POI Data Integration with Linked Data Technologies.”
International Conference on Extending Database Technology 2019, EDBT19,
2019.
short: 'S. Athanasiou, G. Giorgos, G. Damien, K. Nikos, L. Jens, A.-C. Ngonga Ngomo,
P. Kostas, M. Sherif, D. Skoutas, in: International Conference on Extending Database
Technology 2019, EDBT19, 2019.'
date_created: 2021-12-17T09:54:54Z
date_updated: 2023-08-16T10:29:26Z
keyword:
- 2019 sys:relevantFor:infai group\_aksw simba sherif ngonga lehmann slipo limes dice
deer
language:
- iso: eng
publication: International Conference on Extending Database Technology 2019, EDBT19
status: public
title: Big POI data integration with Linked Data technologies
type: conference
user_id: '67234'
year: '2019'
...
---
_id: '56579'
abstract:
- lang: eng
text: Question answering engines have become one of the most popular type of applications
driven by Semantic Web technologies. Consequently, the provision of means to quantify
the performance of current question answering approaches on current datasets has
become ever more important. However, a large percentage of the queries found in
popular question answering benchmarks cannot be executed on current versions of
their reference dataset. There is a consequently a clear need to curate question
answering benchmarks periodically. However, the manual alteration of question
answering benchmarks is often error-prone. We alleviate this problem by presenting
QUANT, a novel framework for the creation and curation of question answering benchmarks.
QUANT sup-ports the curation of benchmarks by generating smart edit suggestions
for question-query pair and for the corresponding metadata. In addition, our framework
supports the creation of new benchmark entries by pro-viding predefined quality
checks for queries. We evaluate QUANT on 653questions obtained from QALD-1 to
QALD-8 with 10 users. Our results show that our framework generates reliable suggestions
and can reduce the curation effort for QA benchmarks by up to 91%.
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
id: '71039'
last_name: Gusmita
- first_name: Rricha
full_name: Jalota, Rricha
last_name: Jalota
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: Jan
full_name: Reineke, Jan
last_name: Reineke
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Ricardo
full_name: Usbeck, Ricardo
last_name: Usbeck
citation:
ama: 'Gusmita RH, Jalota R, Vollmers D, Reineke J, Ngonga Ngomo A-C, Usbeck R. QUANT
- Question Answering Benchmark Curator. In: Acosta M, Cudr{\’e}-Mauroux P, Maleshkova
M, Pellegrini T, Sack H, Sure-Vetter Y, eds. Semantic Systems. The Power of
AI and Knowledge Graphs. Springer International Publishing; 2019:343--358.
doi:10.1007/978-3-030-33220-4_25'
apa: Gusmita, R. H., Jalota, R., Vollmers, D., Reineke, J., Ngonga Ngomo, A.-C.,
& Usbeck, R. (2019). QUANT - Question Answering Benchmark Curator. In M. Acosta,
P. Cudr{\’e}-Mauroux, M. Maleshkova, T. Pellegrini, H. Sack, & Y. Sure-Vetter
(Eds.), Semantic Systems. The Power of AI and Knowledge Graphs (pp. 343--358).
Springer International Publishing. https://doi.org/10.1007/978-3-030-33220-4_25
bibtex: '@inbook{Gusmita_Jalota_Vollmers_Reineke_Ngonga Ngomo_Usbeck_2019, place={Cham},
title={QUANT - Question Answering Benchmark Curator}, DOI={10.1007/978-3-030-33220-4_25},
booktitle={Semantic Systems. The Power of AI and Knowledge Graphs}, publisher={Springer
International Publishing}, author={Gusmita, Ria Hari and Jalota, Rricha and Vollmers,
Daniel and Reineke, Jan and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, editor={Acosta,
Maribel and Cudr{\’e}-Mauroux, Philippe and Maleshkova, Maria and Pellegrini,
Tassilo and Sack, Harald and Sure-Vetter, York}, year={2019}, pages={343--358}
}'
chicago: 'Gusmita, Ria Hari, Rricha Jalota, Daniel Vollmers, Jan Reineke, Axel-Cyrille
Ngonga Ngomo, and Ricardo Usbeck. “QUANT - Question Answering Benchmark Curator.”
In Semantic Systems. The Power of AI and Knowledge Graphs, edited by Maribel
Acosta, Philippe Cudr{\’e}-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald
Sack, and York Sure-Vetter, 343--358. Cham: Springer International Publishing,
2019. https://doi.org/10.1007/978-3-030-33220-4_25.'
ieee: 'R. H. Gusmita, R. Jalota, D. Vollmers, J. Reineke, A.-C. Ngonga Ngomo, and
R. Usbeck, “QUANT - Question Answering Benchmark Curator,” in Semantic Systems.
The Power of AI and Knowledge Graphs, M. Acosta, P. Cudr{\’e}-Mauroux, M.
Maleshkova, T. Pellegrini, H. Sack, and Y. Sure-Vetter, Eds. Cham: Springer International
Publishing, 2019, pp. 343--358.'
mla: Gusmita, Ria Hari, et al. “QUANT - Question Answering Benchmark Curator.” Semantic
Systems. The Power of AI and Knowledge Graphs, edited by Maribel Acosta et
al., Springer International Publishing, 2019, pp. 343--358, doi:10.1007/978-3-030-33220-4_25.
short: 'R.H. Gusmita, R. Jalota, D. Vollmers, J. Reineke, A.-C. Ngonga Ngomo, R.
Usbeck, in: M. Acosta, P. Cudr{\’e}-Mauroux, M. Maleshkova, T. Pellegrini, H.
Sack, Y. Sure-Vetter (Eds.), Semantic Systems. The Power of AI and Knowledge Graphs,
Springer International Publishing, Cham, 2019, pp. 343--358.'
conference:
end_date: 2019-09-12
location: Karlsruhe, Germany
name: SEMANTiCS 2019
start_date: 2019-09-09
date_created: 2024-10-10T14:25:00Z
date_updated: 2024-11-19T15:34:24Z
ddc:
- '004'
doi: 10.1007/978-3-030-33220-4_25
editor:
- first_name: Maribel
full_name: Acosta, Maribel
last_name: Acosta
- first_name: Philippe
full_name: Cudr{\'e}-Mauroux, Philippe
last_name: Cudr{\'e}-Mauroux
- first_name: Maria
full_name: Maleshkova, Maria
last_name: Maleshkova
- first_name: Tassilo
full_name: Pellegrini, Tassilo
last_name: Pellegrini
- first_name: Harald
full_name: Sack, Harald
last_name: Sack
- first_name: York
full_name: Sure-Vetter, York
last_name: Sure-Vetter
file:
- access_level: closed
content_type: application/pdf
creator: gusmita
date_created: 2024-11-19T15:28:45Z
date_updated: 2024-11-19T15:28:45Z
file_id: '57244'
file_name: Gusmita_et_al-2019-Semantic_Systems._The_Power_of_AI_and_Knowledge_Graphs,_15th_International....pdf
file_size: 1179910
relation: main_file
success: 1
file_date_updated: 2024-11-19T15:28:45Z
has_accepted_license: '1'
keyword:
- Benchmark
- Question answering
- Knowledge base
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://rdcu.be/d0KJc
oa: '1'
page: 343--358
place: Cham
publication: Semantic Systems. The Power of AI and Knowledge Graphs
publication_identifier:
eisbn:
- 978-3-030-33220-4
isbn:
- 978-3-030-33219-8
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: QUANT - Question Answering Benchmark Curator
type: book_chapter
user_id: '71039'
year: '2019'
...
---
_id: '57287'
author:
- first_name: Zafar Habeeb
full_name: Syed, Zafar Habeeb
last_name: Syed
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Syed ZH, Srivastava N, Röder M, Ngonga Ngomo A-C. COPAAL – An Interface for
Explaining Facts using Corroborative Paths. In: Suárez-Figueroa MC, Cheng G, Gentile
AL, Guéret C, Keet M, Bernstein A, eds. Proceedings of the ISWC 2019 Satellite
Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas). Vol
2456. Springer International Publishing; 2019:201–204.'
apa: Syed, Z. H., Srivastava, N., Röder, M., & Ngonga Ngomo, A.-C. (2019). COPAAL
– An Interface for Explaining Facts using Corroborative Paths. In M. C. Suárez-Figueroa,
G. Cheng, A. L. Gentile, C. Guéret, M. Keet, & A. Bernstein (Eds.), Proceedings
of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and
Outrageous Ideas) (Vol. 2456, pp. 201–204). Springer International Publishing.
bibtex: '@inproceedings{Syed_Srivastava_Röder_Ngonga Ngomo_2019, title={COPAAL –
An Interface for Explaining Facts using Corroborative Paths}, volume={2456}, booktitle={Proceedings
of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and
Outrageous Ideas)}, publisher={Springer International Publishing}, author={Syed,
Zafar Habeeb and Srivastava, Nikit and Röder, Michael and Ngonga Ngomo, Axel-Cyrille},
editor={Suárez-Figueroa, Mari Carmen and Cheng, Gong and Gentile, Anna Lisa and
Guéret, Christophe and Keet, Maria and Bernstein, Abraham}, year={2019}, pages={201–204}
}'
chicago: Syed, Zafar Habeeb, Nikit Srivastava, Michael Röder, and Axel-Cyrille Ngonga
Ngomo. “COPAAL – An Interface for Explaining Facts Using Corroborative Paths.”
In Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas), edited by Mari Carmen Suárez-Figueroa, Gong
Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, and Abraham Bernstein,
2456:201–204. Springer International Publishing, 2019.
ieee: Z. H. Syed, N. Srivastava, M. Röder, and A.-C. Ngonga Ngomo, “COPAAL – An
Interface for Explaining Facts using Corroborative Paths,” in Proceedings of
the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous
Ideas), 2019, vol. 2456, pp. 201–204.
mla: Syed, Zafar Habeeb, et al. “COPAAL – An Interface for Explaining Facts Using
Corroborative Paths.” Proceedings of the ISWC 2019 Satellite Tracks (Posters
& Demonstrations, Industry, and Outrageous Ideas), edited by Mari Carmen
Suárez-Figueroa et al., vol. 2456, Springer International Publishing, 2019, pp.
201–204.
short: 'Z.H. Syed, N. Srivastava, M. Röder, A.-C. Ngonga Ngomo, in: M.C. Suárez-Figueroa,
G. Cheng, A.L. Gentile, C. Guéret, M. Keet, A. Bernstein (Eds.), Proceedings of
the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous
Ideas), Springer International Publishing, 2019, pp. 201–204.'
date_created: 2024-11-20T10:45:12Z
date_updated: 2024-11-20T10:52:37Z
editor:
- first_name: Mari Carmen
full_name: Suárez-Figueroa, Mari Carmen
last_name: Suárez-Figueroa
- first_name: Gong
full_name: Cheng, Gong
last_name: Cheng
- first_name: Anna Lisa
full_name: Gentile, Anna Lisa
last_name: Gentile
- first_name: Christophe
full_name: Guéret, Christophe
last_name: Guéret
- first_name: Maria
full_name: Keet, Maria
last_name: Keet
- first_name: Abraham
full_name: Bernstein, Abraham
last_name: Bernstein
intvolume: ' 2456'
keyword:
- dice group_aksw ngonga roeder srivastava syed
language:
- iso: eng
page: 201–204
publication: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas)
publisher: Springer International Publishing
status: public
title: COPAAL – An Interface for Explaining Facts using Corroborative Paths
type: conference
user_id: '70066'
volume: 2456
year: '2019'
...
---
_id: '57286'
author:
- first_name: Rricha
full_name: Jalota, Rricha
id: '69526'
last_name: Jalota
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: René
full_name: Speck, René
id: '70843'
last_name: Speck
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Ricardo
full_name: Usbeck, Ricardo
last_name: Usbeck
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Jalota R, Srivastava N, Vollmers D, et al. Finding Datasets in Publications:
The University of Paderborn Approach. In: Rich Search and Discovery for Research
Datasets. SAGE Publications; 2019.'
apa: 'Jalota, R., Srivastava, N., Vollmers, D., Speck, R., Röder, M., Usbeck, R.,
& Ngonga Ngomo, A.-C. (2019). Finding Datasets in Publications: The University
of Paderborn Approach. In Rich Search and Discovery for Research Datasets.
SAGE Publications.'
bibtex: '@inbook{Jalota_Srivastava_Vollmers_Speck_Röder_Usbeck_Ngonga Ngomo_2019,
title={Finding Datasets in Publications: The University of Paderborn Approach},
booktitle={Rich Search and Discovery for Research Datasets}, publisher={SAGE Publications},
author={Jalota, Rricha and Srivastava, Nikit and Vollmers, Daniel and Speck, René
and Röder, Michael and Usbeck, Ricardo and Ngonga Ngomo, Axel-Cyrille}, year={2019}
}'
chicago: 'Jalota, Rricha, Nikit Srivastava, Daniel Vollmers, René Speck, Michael
Röder, Ricardo Usbeck, and Axel-Cyrille Ngonga Ngomo. “Finding Datasets in Publications:
The University of Paderborn Approach.” In Rich Search and Discovery for Research
Datasets. SAGE Publications, 2019.'
ieee: 'R. Jalota et al., “Finding Datasets in Publications: The University
of Paderborn Approach,” in Rich Search and Discovery for Research Datasets,
SAGE Publications, 2019.'
mla: 'Jalota, Rricha, et al. “Finding Datasets in Publications: The University of
Paderborn Approach.” Rich Search and Discovery for Research Datasets, SAGE
Publications, 2019.'
short: 'R. Jalota, N. Srivastava, D. Vollmers, R. Speck, M. Röder, R. Usbeck, A.-C.
Ngonga Ngomo, in: Rich Search and Discovery for Research Datasets, SAGE Publications,
2019.'
date_created: 2024-11-20T10:44:54Z
date_updated: 2024-11-20T10:53:14Z
keyword:
- dice jalota ngonga roeder speck srivastava vollmers
language:
- iso: eng
publication: Rich Search and Discovery for Research Datasets
publisher: SAGE Publications
status: public
title: 'Finding Datasets in Publications: The University of Paderborn Approach'
type: book_chapter
user_id: '70066'
year: '2019'
...
---
_id: '26589'
author:
- first_name: Mohamed
full_name: Ahmed Sherif, Mohamed
last_name: Ahmed Sherif
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Ahmed Sherif M, Ngonga Ngomo A-C. A systematic survey of point set distance
measures for link discovery. Semantic Web. 2018;9(5):589-604. doi:10.3233/SW-170285
apa: Ahmed Sherif, M., & Ngonga Ngomo, A.-C. (2018). A systematic survey of
point set distance measures for link discovery. Semantic Web, 9(5),
589–604. https://doi.org/10.3233/SW-170285
bibtex: '@article{Ahmed Sherif_Ngonga Ngomo_2018, title={A systematic survey of
point set distance measures for link discovery}, volume={9}, DOI={10.3233/SW-170285},
number={5}, journal={Semantic Web}, author={Ahmed Sherif, Mohamed and Ngonga Ngomo,
Axel-Cyrille}, year={2018}, pages={589–604} }'
chicago: 'Ahmed Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “A Systematic Survey
of Point Set Distance Measures for Link Discovery.” Semantic Web 9, no.
5 (2018): 589–604. https://doi.org/10.3233/SW-170285.'
ieee: 'M. Ahmed Sherif and A.-C. Ngonga Ngomo, “A systematic survey of point set
distance measures for link discovery,” Semantic Web, vol. 9, no. 5, pp.
589–604, 2018, doi: 10.3233/SW-170285.'
mla: Ahmed Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “A Systematic Survey
of Point Set Distance Measures for Link Discovery.” Semantic Web, vol.
9, no. 5, 2018, pp. 589–604, doi:10.3233/SW-170285.
short: M. Ahmed Sherif, A.-C. Ngonga Ngomo, Semantic Web 9 (2018) 589–604.
date_created: 2021-10-19T21:03:15Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.3233/SW-170285
intvolume: ' 9'
issue: '5'
language:
- iso: eng
page: 589-604
publication: Semantic Web
status: public
title: A systematic survey of point set distance measures for link discovery
type: journal_article
user_id: '15526'
volume: 9
year: '2018'
...
---
_id: '26590'
author:
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Ricardo
full_name: Usbeck, Ricardo
last_name: Usbeck
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Röder M, Usbeck R, Ngonga Ngomo A-C. GERBIL - Benchmarking Named Entity Recognition
and Linking consistently. Semantic Web. 2018;9(5):605-625. doi:10.3233/SW-170286
apa: Röder, M., Usbeck, R., & Ngonga Ngomo, A.-C. (2018). GERBIL - Benchmarking
Named Entity Recognition and Linking consistently. Semantic Web, 9(5),
605–625. https://doi.org/10.3233/SW-170286
bibtex: '@article{Röder_Usbeck_Ngonga Ngomo_2018, title={GERBIL - Benchmarking Named
Entity Recognition and Linking consistently}, volume={9}, DOI={10.3233/SW-170286},
number={5}, journal={Semantic Web}, author={Röder, Michael and Usbeck, Ricardo
and Ngonga Ngomo, Axel-Cyrille}, year={2018}, pages={605–625} }'
chicago: 'Röder, Michael, Ricardo Usbeck, and Axel-Cyrille Ngonga Ngomo. “GERBIL
- Benchmarking Named Entity Recognition and Linking Consistently.” Semantic
Web 9, no. 5 (2018): 605–25. https://doi.org/10.3233/SW-170286.'
ieee: 'M. Röder, R. Usbeck, and A.-C. Ngonga Ngomo, “GERBIL - Benchmarking Named
Entity Recognition and Linking consistently,” Semantic Web, vol. 9, no.
5, pp. 605–625, 2018, doi: 10.3233/SW-170286.'
mla: Röder, Michael, et al. “GERBIL - Benchmarking Named Entity Recognition and
Linking Consistently.” Semantic Web, vol. 9, no. 5, 2018, pp. 605–25, doi:10.3233/SW-170286.
short: M. Röder, R. Usbeck, A.-C. Ngonga Ngomo, Semantic Web 9 (2018) 605–625.
date_created: 2021-10-19T21:03:58Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.3233/SW-170286
intvolume: ' 9'
issue: '5'
language:
- iso: eng
page: 605-625
publication: Semantic Web
status: public
title: GERBIL - Benchmarking Named Entity Recognition and Linking consistently
type: journal_article
user_id: '15526'
volume: 9
year: '2018'
...
---
_id: '26591'
author:
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Ali
full_name: Hasnain, Ali
last_name: Hasnain
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Saleem M, Hasnain A, Ngonga Ngomo A-C. LargeRDFBench: A billion triples benchmark
for SPARQL endpoint federation. J Web Semant. 2018;48:85-125. doi:10.1016/j.websem.2017.12.005'
apa: 'Saleem, M., Hasnain, A., & Ngonga Ngomo, A.-C. (2018). LargeRDFBench:
A billion triples benchmark for SPARQL endpoint federation. J. Web Semant.,
48, 85–125. https://doi.org/10.1016/j.websem.2017.12.005'
bibtex: '@article{Saleem_Hasnain_Ngonga Ngomo_2018, title={LargeRDFBench: A billion
triples benchmark for SPARQL endpoint federation}, volume={48}, DOI={10.1016/j.websem.2017.12.005},
journal={J. Web Semant.}, author={Saleem, Muhammad and Hasnain, Ali and Ngonga
Ngomo, Axel-Cyrille}, year={2018}, pages={85–125} }'
chicago: 'Saleem, Muhammad, Ali Hasnain, and Axel-Cyrille Ngonga Ngomo. “LargeRDFBench:
A Billion Triples Benchmark for SPARQL Endpoint Federation.” J. Web Semant.
48 (2018): 85–125. https://doi.org/10.1016/j.websem.2017.12.005.'
ieee: 'M. Saleem, A. Hasnain, and A.-C. Ngonga Ngomo, “LargeRDFBench: A billion
triples benchmark for SPARQL endpoint federation,” J. Web Semant., vol.
48, pp. 85–125, 2018, doi: 10.1016/j.websem.2017.12.005.'
mla: 'Saleem, Muhammad, et al. “LargeRDFBench: A Billion Triples Benchmark for SPARQL
Endpoint Federation.” J. Web Semant., vol. 48, 2018, pp. 85–125, doi:10.1016/j.websem.2017.12.005.'
short: M. Saleem, A. Hasnain, A.-C. Ngonga Ngomo, J. Web Semant. 48 (2018) 85–125.
date_created: 2021-10-19T21:04:40Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.1016/j.websem.2017.12.005
intvolume: ' 48'
language:
- iso: eng
page: 85-125
publication: J. Web Semant.
status: public
title: 'LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation'
type: journal_article
user_id: '15526'
volume: 48
year: '2018'
...
---
_id: '26592'
author:
- first_name: Diego
full_name: Moussallem, Diego
last_name: Moussallem
- first_name: Matthias
full_name: Wauer, Matthias
last_name: Wauer
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Moussallem D, Wauer M, Ngonga Ngomo A-C. Machine Translation using Semantic
Web Technologies: A Survey. J Web Semant. 2018;51:1-19. doi:10.1016/j.websem.2018.07.001'
apa: 'Moussallem, D., Wauer, M., & Ngonga Ngomo, A.-C. (2018). Machine Translation
using Semantic Web Technologies: A Survey. J. Web Semant., 51, 1–19.
https://doi.org/10.1016/j.websem.2018.07.001'
bibtex: '@article{Moussallem_Wauer_Ngonga Ngomo_2018, title={Machine Translation
using Semantic Web Technologies: A Survey}, volume={51}, DOI={10.1016/j.websem.2018.07.001},
journal={J. Web Semant.}, author={Moussallem, Diego and Wauer, Matthias and Ngonga
Ngomo, Axel-Cyrille}, year={2018}, pages={1–19} }'
chicago: 'Moussallem, Diego, Matthias Wauer, and Axel-Cyrille Ngonga Ngomo. “Machine
Translation Using Semantic Web Technologies: A Survey.” J. Web Semant.
51 (2018): 1–19. https://doi.org/10.1016/j.websem.2018.07.001.'
ieee: 'D. Moussallem, M. Wauer, and A.-C. Ngonga Ngomo, “Machine Translation using
Semantic Web Technologies: A Survey,” J. Web Semant., vol. 51, pp. 1–19,
2018, doi: 10.1016/j.websem.2018.07.001.'
mla: 'Moussallem, Diego, et al. “Machine Translation Using Semantic Web Technologies:
A Survey.” J. Web Semant., vol. 51, 2018, pp. 1–19, doi:10.1016/j.websem.2018.07.001.'
short: D. Moussallem, M. Wauer, A.-C. Ngonga Ngomo, J. Web Semant. 51 (2018) 1–19.
date_created: 2021-10-19T21:05:16Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.1016/j.websem.2018.07.001
intvolume: ' 51'
language:
- iso: eng
page: 1-19
publication: J. Web Semant.
status: public
title: 'Machine Translation using Semantic Web Technologies: A Survey'
type: journal_article
user_id: '15526'
volume: 51
year: '2018'
...
---
_id: '26593'
author:
- first_name: Zafar
full_name: Habeeb Syed, Zafar
last_name: Habeeb Syed
- 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: 'Habeeb Syed Z, Röder M, Ngonga Ngomo A-C. FactCheck: Validating RDF Triples
Using Textual Evidence. In: Cuzzocrea A, Allan J, W. Paton N, et al., eds. Proceedings
of the 27th {ACM} International Conference on Information and Knowledge Management,
{CIKM} 2018, Torino, Italy, October 22-26, 2018. {ACM}; 2018:1599-1602. doi:10.1145/3269206.3269308'
apa: 'Habeeb Syed, Z., Röder, M., & Ngonga Ngomo, A.-C. (2018). FactCheck: Validating
RDF Triples Using Textual Evidence. In A. Cuzzocrea, J. Allan, N. W. Paton, D.
Srivastava, R. Agrawal, A. Z. Broder, M. J. Zaki, K. Selçuk Candan, A. Labrinidis,
A. Schuster, & H. Wang (Eds.), Proceedings of the 27th {ACM} International
Conference on Information and Knowledge Management, {CIKM} 2018, Torino, Italy,
October 22-26, 2018 (pp. 1599–1602). {ACM}. https://doi.org/10.1145/3269206.3269308'
bibtex: '@inproceedings{Habeeb Syed_Röder_Ngonga Ngomo_2018, title={FactCheck: Validating
RDF Triples Using Textual Evidence}, DOI={10.1145/3269206.3269308},
booktitle={Proceedings of the 27th {ACM} International Conference on Information
and Knowledge Management, {CIKM} 2018, Torino, Italy, October 22-26, 2018}, publisher={{ACM}},
author={Habeeb Syed, Zafar and Röder, Michael and Ngonga Ngomo, Axel-Cyrille},
editor={Cuzzocrea, Alfredo and Allan, James and W. Paton, Norman and Srivastava,
Divesh and Agrawal, Rakesh and Z. Broder, Andrei and J. Zaki, Mohammed and Selçuk
Candan, K. and Labrinidis, Alexandros and Schuster, Assaf and et al.}, year={2018},
pages={1599–1602} }'
chicago: 'Habeeb Syed, Zafar, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “FactCheck:
Validating RDF Triples Using Textual Evidence.” In Proceedings of the 27th
{ACM} International Conference on Information and Knowledge Management, {CIKM}
2018, Torino, Italy, October 22-26, 2018, edited by Alfredo Cuzzocrea, James
Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Z. Broder, Mohammed
J. Zaki, et al., 1599–1602. {ACM}, 2018. https://doi.org/10.1145/3269206.3269308.'
ieee: 'Z. Habeeb Syed, M. Röder, and A.-C. Ngonga Ngomo, “FactCheck: Validating
RDF Triples Using Textual Evidence,” in Proceedings of the 27th {ACM} International
Conference on Information and Knowledge Management, {CIKM} 2018, Torino, Italy,
October 22-26, 2018, 2018, pp. 1599–1602, doi: 10.1145/3269206.3269308.'
mla: 'Habeeb Syed, Zafar, et al. “FactCheck: Validating RDF Triples Using Textual
Evidence.” Proceedings of the 27th {ACM} International Conference on Information
and Knowledge Management, {CIKM} 2018, Torino, Italy, October 22-26, 2018,
edited by Alfredo Cuzzocrea et al., {ACM}, 2018, pp. 1599–602, doi:10.1145/3269206.3269308.'
short: 'Z. Habeeb Syed, M. Röder, A.-C. Ngonga Ngomo, in: A. Cuzzocrea, J. Allan,
N. W. Paton, D. Srivastava, R. Agrawal, A. Z. Broder, M. J. Zaki, K. Selçuk Candan,
A. Labrinidis, A. Schuster, H. Wang (Eds.), Proceedings of the 27th {ACM} International
Conference on Information and Knowledge Management, {CIKM} 2018, Torino, Italy,
October 22-26, 2018, {ACM}, 2018, pp. 1599–1602.'
date_created: 2021-10-19T21:06:16Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.1145/3269206.3269308
editor:
- first_name: Alfredo
full_name: Cuzzocrea, Alfredo
last_name: Cuzzocrea
- first_name: James
full_name: Allan, James
last_name: Allan
- first_name: Norman
full_name: W. Paton, Norman
last_name: W. Paton
- first_name: Divesh
full_name: Srivastava, Divesh
last_name: Srivastava
- first_name: Rakesh
full_name: Agrawal, Rakesh
last_name: Agrawal
- first_name: Andrei
full_name: Z. Broder, Andrei
last_name: Z. Broder
- first_name: Mohammed
full_name: J. Zaki, Mohammed
last_name: J. Zaki
- first_name: K.
full_name: Selçuk Candan, K.
last_name: Selçuk Candan
- first_name: Alexandros
full_name: Labrinidis, Alexandros
last_name: Labrinidis
- first_name: Assaf
full_name: Schuster, Assaf
last_name: Schuster
- first_name: Haixun
full_name: Wang, Haixun
last_name: Wang
language:
- iso: eng
page: 1599-1602
publication: Proceedings of the 27th {ACM} International Conference on Information
and Knowledge Management, {CIKM} 2018, Torino, Italy, October 22-26, 2018
publisher: '{ACM}'
status: public
title: 'FactCheck: Validating RDF Triples Using Textual Evidence'
type: conference
user_id: '15526'
year: '2018'
...
---
_id: '26594'
author:
- first_name: Adnan
full_name: Akhter, Adnan
last_name: Akhter
- 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: 'Akhter A, Ngonga Ngomo A-C, Saleem M. An Empirical Evaluation of RDF Graph
Partitioning Techniques. In: Faron-Zucker C, Ghidini C, Napoli A, Toussaint Y,
eds. Knowledge Engineering and Knowledge Management - 21st International Conference,
{EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings. Vol 11313.
Lecture Notes in Computer Science. Springer; 2018:3-18. doi:10.1007/978-3-030-03667-6\_1'
apa: Akhter, A., Ngonga Ngomo, A.-C., & Saleem, M. (2018). An Empirical Evaluation
of RDF Graph Partitioning Techniques. In C. Faron-Zucker, C. Ghidini, A. Napoli,
& Y. Toussaint (Eds.), Knowledge Engineering and Knowledge Management -
21st International Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018,
Proceedings (Vol. 11313, pp. 3–18). Springer. https://doi.org/10.1007/978-3-030-03667-6\_1
bibtex: '@inproceedings{Akhter_Ngonga Ngomo_Saleem_2018, series={Lecture Notes in
Computer Science}, title={An Empirical Evaluation of RDF Graph Partitioning Techniques},
volume={11313}, DOI={10.1007/978-3-030-03667-6\_1},
booktitle={Knowledge Engineering and Knowledge Management - 21st International
Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings}, publisher={Springer},
author={Akhter, Adnan and Ngonga Ngomo, Axel-Cyrille and Saleem, Muhammad}, editor={Faron-Zucker,
Catherine and Ghidini, Chiara and Napoli, Amedeo and Toussaint, Yannick}, year={2018},
pages={3–18}, collection={Lecture Notes in Computer Science} }'
chicago: Akhter, Adnan, Axel-Cyrille Ngonga Ngomo, and Muhammad Saleem. “An Empirical
Evaluation of RDF Graph Partitioning Techniques.” In Knowledge Engineering
and Knowledge Management - 21st International Conference, {EKAW} 2018, Nancy,
France, November 12-16, 2018, Proceedings, edited by Catherine Faron-Zucker,
Chiara Ghidini, Amedeo Napoli, and Yannick Toussaint, 11313:3–18. Lecture Notes
in Computer Science. Springer, 2018. https://doi.org/10.1007/978-3-030-03667-6\_1.
ieee: 'A. Akhter, A.-C. Ngonga Ngomo, and M. Saleem, “An Empirical Evaluation of
RDF Graph Partitioning Techniques,” in Knowledge Engineering and Knowledge
Management - 21st International Conference, {EKAW} 2018, Nancy, France, November
12-16, 2018, Proceedings, 2018, vol. 11313, pp. 3–18, doi: 10.1007/978-3-030-03667-6\_1.'
mla: Akhter, Adnan, et al. “An Empirical Evaluation of RDF Graph Partitioning Techniques.”
Knowledge Engineering and Knowledge Management - 21st International Conference,
{EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings, edited by Catherine
Faron-Zucker et al., vol. 11313, Springer, 2018, pp. 3–18, doi:10.1007/978-3-030-03667-6\_1.
short: 'A. Akhter, A.-C. Ngonga Ngomo, M. Saleem, in: C. Faron-Zucker, C. Ghidini,
A. Napoli, Y. Toussaint (Eds.), Knowledge Engineering and Knowledge Management
- 21st International Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018,
Proceedings, Springer, 2018, pp. 3–18.'
date_created: 2021-10-19T21:07:55Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.1007/978-3-030-03667-6\_1
editor:
- first_name: Catherine
full_name: Faron-Zucker, Catherine
last_name: Faron-Zucker
- first_name: Chiara
full_name: Ghidini, Chiara
last_name: Ghidini
- first_name: Amedeo
full_name: Napoli, Amedeo
last_name: Napoli
- first_name: Yannick
full_name: Toussaint, Yannick
last_name: Toussaint
intvolume: ' 11313'
language:
- iso: eng
page: 3-18
publication: Knowledge Engineering and Knowledge Management - 21st International Conference,
{EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: An Empirical Evaluation of RDF Graph Partitioning Techniques
type: conference
user_id: '15526'
volume: 11313
year: '2018'
...
---
_id: '26595'
author:
- first_name: René
full_name: Speck, René
last_name: Speck
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Speck R, Ngonga Ngomo A-C. On Extracting Relations Using Distributional Semantics
and a Tree Generalization. In: Faron-Zucker C, Ghidini C, Napoli A, Toussaint
Y, eds. Knowledge Engineering and Knowledge Management - 21st International
Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings.
Vol 11313. Lecture Notes in Computer Science. Springer; 2018:424-438. doi:10.1007/978-3-030-03667-6\_27'
apa: Speck, R., & Ngonga Ngomo, A.-C. (2018). On Extracting Relations Using
Distributional Semantics and a Tree Generalization. In C. Faron-Zucker, C. Ghidini,
A. Napoli, & Y. Toussaint (Eds.), Knowledge Engineering and Knowledge Management
- 21st International Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018,
Proceedings (Vol. 11313, pp. 424–438). Springer. https://doi.org/10.1007/978-3-030-03667-6\_27
bibtex: '@inproceedings{Speck_Ngonga Ngomo_2018, series={Lecture Notes in Computer
Science}, title={On Extracting Relations Using Distributional Semantics and a
Tree Generalization}, volume={11313}, DOI={10.1007/978-3-030-03667-6\_27},
booktitle={Knowledge Engineering and Knowledge Management - 21st International
Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings}, publisher={Springer},
author={Speck, René and Ngonga Ngomo, Axel-Cyrille}, editor={Faron-Zucker, Catherine
and Ghidini, Chiara and Napoli, Amedeo and Toussaint, Yannick}, year={2018}, pages={424–438},
collection={Lecture Notes in Computer Science} }'
chicago: Speck, René, and Axel-Cyrille Ngonga Ngomo. “On Extracting Relations Using
Distributional Semantics and a Tree Generalization.” In Knowledge Engineering
and Knowledge Management - 21st International Conference, {EKAW} 2018, Nancy,
France, November 12-16, 2018, Proceedings, edited by Catherine Faron-Zucker,
Chiara Ghidini, Amedeo Napoli, and Yannick Toussaint, 11313:424–38. Lecture Notes
in Computer Science. Springer, 2018. https://doi.org/10.1007/978-3-030-03667-6\_27.
ieee: 'R. Speck and A.-C. Ngonga Ngomo, “On Extracting Relations Using Distributional
Semantics and a Tree Generalization,” in Knowledge Engineering and Knowledge
Management - 21st International Conference, {EKAW} 2018, Nancy, France, November
12-16, 2018, Proceedings, 2018, vol. 11313, pp. 424–438, doi: 10.1007/978-3-030-03667-6\_27.'
mla: Speck, René, and Axel-Cyrille Ngonga Ngomo. “On Extracting Relations Using
Distributional Semantics and a Tree Generalization.” Knowledge Engineering
and Knowledge Management - 21st International Conference, {EKAW} 2018, Nancy,
France, November 12-16, 2018, Proceedings, edited by Catherine Faron-Zucker
et al., vol. 11313, Springer, 2018, pp. 424–38, doi:10.1007/978-3-030-03667-6\_27.
short: 'R. Speck, A.-C. Ngonga Ngomo, in: C. Faron-Zucker, C. Ghidini, A. Napoli,
Y. Toussaint (Eds.), Knowledge Engineering and Knowledge Management - 21st International
Conference, {EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings, Springer,
2018, pp. 424–438.'
date_created: 2021-10-19T21:08:32Z
date_updated: 2022-01-06T06:57:22Z
doi: 10.1007/978-3-030-03667-6\_27
editor:
- first_name: Catherine
full_name: Faron-Zucker, Catherine
last_name: Faron-Zucker
- first_name: Chiara
full_name: Ghidini, Chiara
last_name: Ghidini
- first_name: Amedeo
full_name: Napoli, Amedeo
last_name: Napoli
- first_name: Yannick
full_name: Toussaint, Yannick
last_name: Toussaint
intvolume: ' 11313'
language:
- iso: eng
page: 424-438
publication: Knowledge Engineering and Knowledge Management - 21st International Conference,
{EKAW} 2018, Nancy, France, November 12-16, 2018, Proceedings
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: On Extracting Relations Using Distributional Semantics and a Tree Generalization
type: conference
user_id: '15526'
volume: 11313
year: '2018'
...