Eke, N. O., &; Elit, S. (Eds.). (2019). Literarische Institutionen.https://doi.org/10.1515/9783110365306 

Bauer, A., Reinhold, P., &; Sacher, M. (2019). Erhebung der experimentellen Performanz (Physik-)Studierender. In C. Maurer (Ed.), Naturwissenschaftliche Bildung als Grundlage für berufliche und gesellschaftliche Teilhabe (pp. 632–635). Gesellschaft für Didaktik der Chemie und Physik.

Massaro, M., Meyer-Scott, E., Montaut, N., Herrmann, H., &; Silberhorn, C. (2019). Improving SPDC single-photon sources via extended heralding and feed-forward control. New Journal of Physics, Article 053038.https://doi.org/10.1088/1367-2630/ab1ec3 

Padalkin, A. (2019). Fire Containment by Back Burning on Grids.

Xue, H., Zhang, H., Fricke, S., Lüther, M., Yang, Z., Meng, A., Bremser, W., &; Li, Z. (2019). Scalable and energy-efficient synthesis of CoxP for overall water splitting in alkaline media by high energy ball milling. Sustainable Energy &; Fuels, 1723–1729.https://doi.org/10.1039/c9se00607a 

Mehmood, Q., Saleem, M., Sahay, R., Ngonga Ngomo, A.-C., &; d’Aquin, M. (2019). QPPDs: Querying Property Paths Over Distributed RDF Datasets. IEEE Access, 7, 101031–101045.https://doi.org/10.1109/ACCESS.2019.2930416 

Usbeck, R., Röder, M., Hoffmann, M., Conrads, F., Huthmann, J., Ngonga Ngomo, A.-C., Demmler, C., &; Unger, C. (2019). Benchmarking question answering systems. Semantic Web, 10(2), 293–304.https://doi.org/10.3233/SW-180312 

Rula, A., Palmonari, M., Rubinacci, S., Ngonga Ngomo, A.-C., Lehmann, J., Maurino, A., &; Esteves, D. (2019). TISCO: Temporal scoping of facts. J. Web Semant., 54, 72–86.https://doi.org/10.1016/j.websem.2018.09.002 

Speck, R., &; Ngonga Ngomo, A.-C. (2019). Leopard - A baseline approach to attribute prediction and validation for knowledge graph population. J. Web Semant., 55, 102–107.https://doi.org/10.1016/j.websem.2018.12.006 

Jalota, R., Trivedi, P., Maheshwari, G., Ngonga Ngomo, A.-C., &; Usbeck, R. (2019). An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots - The DBpedia Chatbot. In A. Følstad, T. B. Araujo, S. Papadopoulos, E. Lai-Chong Law, O.-C. Granmo, E. Luger, &; P. Bae Brandtzæg (Eds.), Chatbot Research and Design - Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19-20, 2019, Revised Selected Papers (Vol. 11970, pp. 19–33). Springer.https://doi.org/10.1007/978-3-030-39540-7‑2 

Athanasiou, S., Giannopoulos, G., Graux, D., Karagiannakis, N., Lehmann, J., Ngonga Ngomo, A.-C., Patroumpas, K., Ahmed Sherif, M., &; Skoutas, D. (2019). Big POI data integration with Linked Data technologies. In M. Herschel, H. Galhardas, B. Reinwald, I. Fundulaki, C. Binnig, &; Z. Kaoudi (Eds.), Advances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019 (pp. 477–488). OpenProceedings.org.https://doi.org/10.5441/002/edbt.2019.44 

Amer Desouki, A., Röder, M., &; Ngonga Ngomo, A.-C. (2019). Ranking on Very Large Knowledge Graphs. In C. Atzenbeck, J. Rubart, &; D. E. Millard (Eds.), Proceedings of the 30th ACM Conference on Hypertext and Social Media, HT 2019, Hof, Germany, September 17-20, 2019 (pp. 163–171). ACM.https://doi.org/10.1145/3342220.3343660 

Hari Gusmita, R., Jalota, R., Vollmers, D., Reineke, J., Ngonga Ngomo, A.-C., &; Usbeck, R. (2019). QUANT - Question Answering Benchmark Curator. In M. Acosta, P. Cudré-Mauroux, M. Maleshkova, T. Pellegrini, H. Sack, &; Y. Sure-Vetter (Eds.), Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings (Vol. 11702, pp. 343–358). Springer.https://doi.org/10.1007/978-3-030-33220-4‑25 

Kaur, P., Blücher, V., Jalota, R., Moussallem, D., Ngonga Ngomo, A.-C., &; Usbeck, R. (2019). Offline Question Answering over Linked Data using Limited Resources. In M. Alam, R. Usbeck, T. Pellegrini, H. Sack, &; Y. Sure-Vetter (Eds.), Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to - 12th, 2019 (Vol. 2451). CEUR-WS.org.

Obraczka, D., &; Ngonga Ngomo, A.-C. (2019). Dragon: Decision Tree Learning for Link Discovery. In M. Bakaev, F. Frasincar, &; I.-Y. Ko (Eds.), Web Engineering - 19th International Conference, ICWE 2019, Daejeon, South Korea, June 11-14, 2019, Proceedings (Vol. 11496, pp. 441–456). Springer.https://doi.org/10.1007/978-3-030-19274-7‑31 

Demir, C., &; Ngonga Ngomo, A.-C. (2019). A Physical Embedding Model for Knowledge Graphs. In X. Wang, F. Alessandra Lisi, G. Xiao, &; E. Botoeva (Eds.), Semantic Technology - 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings (Vol. 12032, pp. 192–209). Springer.https://doi.org/10.1007/978-3-030-41407-8‑13 

Fathi Ahmed, A., Ahmed Sherif, M., &; Ngonga Ngomo, A.-C. (2019). Do your Resources Sound Similar?: On the Impact of Using Phonetic Similarity in Link Discovery. In M. Kejriwal, P. A. Szekely, &; R. Troncy (Eds.), Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019 (pp. 53–60). ACM.https://doi.org/10.1145/3360901.3364426 

Moussallem, D., Ngonga Ngomo, A.-C., Buitelaar, P., &; Arcan, M. (2019). Utilizing Knowledge Graphs for Neural Machine Translation Augmentation. In M. Kejriwal, P. A. Szekely, &; R. Troncy (Eds.), Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019 (pp. 139–146). ACM.https://doi.org/10.1145/3360901.3364423 

Ngonga Ngomo, A.-C., Conrads, F., Pensel, M., &; Turhan, A.-Y. (2019). Congenial Benchmarking of RDF Storage Solutions. In M. Kejriwal, P. A. Szekely, &; R. Troncy (Eds.), Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019 (pp. 213–221). ACM.https://doi.org/10.1145/3360901.3364429 

M. Zahera, H., Ahmed Sherif, M., &; Ngonga Ngomo, A.-C. (2019). Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction. In M. Kejriwal, P. A. Szekely, &; R. Troncy (Eds.), Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019 (pp. 231–234). ACM.https://doi.org/10.1145/3360901.3364413