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68 Publications
2021 | Conference Paper | LibreCat-ID: 24731
Wilke, A., Bannoura, A., & Ngonga Ngomo, A.-C. (2021). Relicensing Combined Datasets. 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, 241–247. https://doi.org/10.1109/ICSC50631.2021.00050
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 24732
Röder, M., de Souza, G., Kuchelev, D., Amer Desouki, A., & Ngonga Ngomo, A.-C. (2021). ORCA - a Benchmark for Data Web Crawlers. 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, 272–279. https://doi.org/10.1109/ICSC50631.2021.00054
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2021 | Conference Paper | LibreCat-ID: 25203
Alexandra Morim da Silva, A., Röder, M., & Ngonga Ngomo, A.-C. (2021). Using Compositional Embeddings for Fact Checking. In A. Hotho, E. Blomqvist, S. Dietze, A. Fokoue, Y. Ding, P. M. Barnaghi, A. Haller, M. Dragoni, & H. Alani (Eds.), The Semantic Web - {ISWC} 2021 - 20th International Semantic Web Conference, {ISWC} 2021, Virtual Event, October 24-28, 2021, Proceedings (Vol. 12922, pp. 270–286). Springer. https://doi.org/10.1007/978-3-030-88361-4\_16
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2021 | Conference Paper | LibreCat-ID: 25206
Demir, C., & Ngonga Ngomo, A.-C. (2021). Convolutional Complex Knowledge Graph Embeddings. In R. Verborgh, K. Hose, H. Paulheim, P.-}Antoine Champin, M. Maleshkova, O. Corcho, P. Ristoski, & M. Alam (Eds.), The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings (Vol. 12731, pp. 409–424). Springer. https://doi.org/10.1007/978-3-030-77385-4\_24
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2021 | Conference Paper | LibreCat-ID: 25208
Speck, R., Moussallem, D., & Ngonga Ngomo, A.-C. (2021). Twitter Network Mimicking for Data Storage Benchmarking. 15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021, 298–305. https://doi.org/10.1109/ICSC50631.2021.00057
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2021 | Journal Article | LibreCat-ID: 25209
Demir, C., Moussallem, D., & Ngonga Ngomo, A.-C. (2021). A shallow neural model for relation prediction. CoRR, abs/2101.09090.
LibreCat
2021 | Journal Article | LibreCat-ID: 25210
Ali, W., Saleem, M., Yao, B., Hogan, A., & Ngonga Ngomo, A.-C. (2021). A Survey of RDF Stores \& SPARQL Engines for Querying Knowledge Graphs. CoRR, abs/2102.13027.
LibreCat
2021 | Journal Article | LibreCat-ID: 25211
Vollmers, D., Jalota, R., Moussallem, D., Topiwala, H., Ngonga Ngomo, A.-C., & Usbeck, R. (2021). Knowledge Graph Question Answering using Graph-Pattern Isomorphism. CoRR, abs/2103.06752.
LibreCat
2021 | Journal Article | LibreCat-ID: 25213
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (2021). MLCheck- Property-Driven Testing of Machine Learning Models. CoRR, abs/2105.00741.
LibreCat
2021 | Journal Article | LibreCat-ID: 25214
Wilke, A., & Ngonga Ngomo, A.-C. (2021). Open Data Portal Germany (OPAL) Projektergebnisse. CoRR, abs/2105.03161.
LibreCat
2021 | Journal Article | LibreCat-ID: 25215
Demir, C., & Ngonga Ngomo, A.-C. (2021). Out-of-Vocabulary Entities in Link Prediction. CoRR, abs/2105.12524.
LibreCat
2021 | Journal Article | LibreCat-ID: 25217
Demir, C., & Ngonga Ngomo, A.-C. (2021). DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. CoRR, abs/2106.15373.
LibreCat
2021 | Conference Paper | LibreCat-ID: 28350
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (n.d.). MLCHECK–Property-Driven Testing of Machine Learning Classifiers. Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
LibreCat
2021 | Journal Article | LibreCat-ID: 24719
M. Zahera, H., Jalota, R., Ahmed Sherif, M., & Ngonga Ngomo, A.-C. (2021). I-AID: Identifying Actionable Information From Disaster-Related Tweets. {IEEE} Access, 9, 118861–118870. https://doi.org/10.1109/ACCESS.2021.3107812
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 24720
Hogan, A., Blomqvist, E., Cochez, M., d’Amato, C., de Melo, G., Guti{\’{e}}rrez, C., Kirrane, S., Emilio Labra Gayo, J., Navigli, R., Neumaier, S., Ngonga Ngomo, A.-C., Polleres, A., M. Rashid, S., Rula, A., Schmelzeisen, L., F. Sequeda, J., Staab, S., & Zimmermann, A. (2021). Knowledge Graphs. {ACM} Comput. Surv., 54(4), 71:1-71:37. https://doi.org/10.1145/3447772
LibreCat
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2021 | Book Chapter | LibreCat-ID: 29046
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. https://doi.org/10.1007/978-3-030-91608-4_11
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29047
Wilke, A., Bannoura, A., & Ngonga Ngomo, A.-C. N. (2021). Relicensing Combined Datasets. 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 241–247. https://doi.org/10.1109/ICSC50631.2021.00050
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29486
Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2021). GATES: Using Graph Attention Networks for Entity Summarization. Proceedings of the 11th on Knowledge Capture Conference, 73–80. https://doi.org/10.1145/3460210.3493574
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29291 | 
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
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2021 | Book Chapter | LibreCat-ID: 29292 |
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
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2021 | Conference Paper | LibreCat-ID: 29287 |
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.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29294 |
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
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2021 | Journal Article | LibreCat-ID: 24456 |
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
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2021 | Journal Article | LibreCat-ID: 25212
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
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2020 | Dissertation | LibreCat-ID: 16935
Moussalem, D. C. (2020). Knowledge Graphs for Multilingual Language Translation and Generation. https://doi.org/10.17619/UNIPB/1-980
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| DOI
2020 | Conference Paper | LibreCat-ID: 20141 |
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
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2020 | Book Chapter | LibreCat-ID: 29042
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
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2019 | Conference Paper | LibreCat-ID: 15921
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
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