conference paper general yes Umair Qudus author 833920000-0001-6714-8729 Michael Röder author 67199https://orcid.org/0000-0002-8609-8277 Sabrina Kirrane author Axel-Cyrille Ngonga Ngomo author 65716 TerryR. Payne editor ValentinaPresutti editor GuilinQi editor MaríaPoveda-Villalónt editor GiorgosStoilos editor LauraHollink editor ZoiKaoudi editor GongCheng editor JuanziLi editor Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents T EMPORAL FC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate T EMPORAL FC on two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that T EMPORAL FC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC. https://ris.uni-paderborn.de/download/50796/61196/temporalfcc.pdf application/pdf Springer International Publishing2023 eng knowgraphs enexa sail nebulaproject dice ngonga saleem roeder qudus 10.1007/978-3-031-47240-4_25 14265465–483 Qudus, U., Röder, M., Kirrane, S., &#38; Ngonga Ngomo, A.-C. (2023). TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalónt, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, &#38; J. Li (Eds.), <i>The Semantic Web – ISWC 2023</i> (Vol. 14265, pp. 465–483). Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-47240-4_25">https://doi.org/10.1007/978-3-031-47240-4_25</a> Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne et al., vol. 14265, Springer International Publishing, 2023, pp. 465–483, doi:<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>. @inproceedings{Qudus_Röder_Kirrane_Ngonga Ngomo_2023, place={Cham}, series={Lecture Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs}, volume={14265}, DOI={<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>}, booktitle={The Semantic Web – ISWC 2023}, publisher={Springer International Publishing}, author={Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngonga Ngomo, Axel-Cyrille}, editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalónt, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}, year={2023}, pages={465–483}, collection={Lecture Notes in Computer Science} } U. Qudus, M. Röder, S. Kirrane, A.-C. Ngonga Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalónt, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer International Publishing, Cham, 2023, pp. 465–483. Qudus U, Röder M, Kirrane S, Ngonga Ngomo A-C. TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds. <i>The Semantic Web – ISWC 2023</i>. Vol 14265. Lecture Notes in Computer Science. Springer International Publishing; 2023:465–483. doi:<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a> U. Qudus, M. Röder, S. Kirrane, and A.-C. Ngonga Ngomo, “TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs,” in <i>The Semantic Web – ISWC 2023</i>, 2023, vol. 14265, pp. 465–483, doi: <a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>. Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalónt, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, and Juanzi Li, 14265:465–483. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2023. <a href="https://doi.org/10.1007/978-3-031-47240-4_25">https://doi.org/10.1007/978-3-031-47240-4_25</a>. 507962024-01-23T11:38:26Z2025-09-11T09:34:39Z