---
_id: '32509'
abstract:
- lang: eng
text: " We consider fact-checking approaches that aim to predict the veracity of
assertions in knowledge graphs. Five main categories of fact-checking approaches
for knowledge graphs have been proposed in the recent literature, of\r\nwhich
each is subject to partially overlapping limitations. In particular, current text-based
approaches are limited by manual feature engineering. Path-based and rule-based
approaches are limited by their exclusive use of knowledge graphs as background
knowledge, and embedding-based approaches suffer from low accuracy scores on current
fact-checking tasks. We propose a hybrid approach—dubbed HybridFC—that exploits
the diversity of existing categories of fact-checking approaches within an ensemble
learning setting to achieve a significantly better prediction performance. In
particular, our approach outperforms the state of the art by 0.14 to 0.27 in terms
of Area Under the Receiver Operating Characteristic curve on the FactBench dataset.
Our code is open-source and can be found at https://github.com/dice-group/HybridFC."
author:
- first_name: Umair
full_name: Qudus, Umair
id: '83392'
last_name: Qudus
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. HybridFC: A Hybrid Fact-Checking
Approach for Knowledge Graphs. In: Sattler U, Hogan A, Keet M, Presutti V, eds.
The Semantic Web -- ISWC 2022. Springer International Publishing; :462--480.
doi:10.1007/978-3-031-19433-7_27'
apa: 'Qudus, U., Röder, M., Saleem, M., & Ngonga Ngomo, A.-C. (n.d.). HybridFC:
A Hybrid Fact-Checking Approach for Knowledge Graphs. In U. Sattler, A. Hogan,
M. Keet, & V. Presutti (Eds.), The Semantic Web -- ISWC 2022 (pp. 462--480).
Springer International Publishing. https://doi.org/10.1007/978-3-031-19433-7_27'
bibtex: '@inproceedings{Qudus_Röder_Saleem_Ngonga Ngomo, place={Cham}, title={HybridFC:
A Hybrid Fact-Checking Approach for Knowledge Graphs}, DOI={10.1007/978-3-031-19433-7_27},
booktitle={The Semantic Web -- ISWC 2022}, publisher={Springer International Publishing},
author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo,
Axel-Cyrille}, editor={Sattler, Ulrike and Hogan, Aidan and Keet, Maria and Presutti,
Valentina}, pages={462--480} }'
chicago: 'Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga
Ngomo. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” In The
Semantic Web -- ISWC 2022, edited by Ulrike Sattler, Aidan Hogan, Maria Keet,
and Valentina Presutti, 462--480. Cham: Springer International Publishing, n.d.
https://doi.org/10.1007/978-3-031-19433-7_27.'
ieee: 'U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “HybridFC: A Hybrid
Fact-Checking Approach for Knowledge Graphs,” in The Semantic Web -- ISWC 2022,
Hanghzou, China, pp. 462--480, doi: 10.1007/978-3-031-19433-7_27.'
mla: 'Qudus, Umair, et al. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge
Graphs.” The Semantic Web -- ISWC 2022, edited by Ulrike Sattler et al.,
Springer International Publishing, pp. 462--480, doi:10.1007/978-3-031-19433-7_27.'
short: 'U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, in: U. Sattler, A. Hogan,
M. Keet, V. Presutti (Eds.), The Semantic Web -- ISWC 2022, Springer International
Publishing, Cham, n.d., pp. 462--480.'
conference:
end_date: 2022-10-27
location: Hanghzou, China
name: International Semantic Web Conference (ISWC)
start_date: 2022-10-23
date_created: 2022-08-02T11:56:03Z
date_updated: 2024-01-13T11:40:36Z
ddc:
- '000'
department:
- _id: '34'
doi: 10.1007/978-3-031-19433-7_27
editor:
- first_name: Ulrike
full_name: Sattler, Ulrike
last_name: Sattler
- first_name: Aidan
full_name: Hogan, Aidan
last_name: Hogan
- first_name: Maria
full_name: Keet, Maria
last_name: Keet
- first_name: Valentina
full_name: Presutti, Valentina
last_name: Presutti
file:
- access_level: closed
content_type: application/pdf
creator: uqudus
date_created: 2022-12-22T15:45:29Z
date_updated: 2022-12-22T15:45:29Z
file_id: '34853'
file_name: hybrid_fact_check_iswc2022.pdf
file_size: 296218
relation: main_file
success: 1
file_date_updated: 2022-12-22T15:45:29Z
has_accepted_license: '1'
jel:
- D
keyword:
- fact checking · ensemble learning · knowledge graph veracit
language:
- iso: eng
page: 462--480
place: Cham
project:
- _id: '410'
grant_number: '860801'
name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
publication: The Semantic Web -- ISWC 2022
publication_identifier:
isbn:
- 978-3-031-19433-7
publication_status: accepted
publisher: Springer International Publishing
status: public
title: 'HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs'
type: conference
user_id: '83392'
year: '2022'
...
---
_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
- 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: 2024-01-13T11:40:25Z
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'
grant_number: '860801'
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'
...