[{"author":[{"last_name":"Feldhans","full_name":"Feldhans, Robert","first_name":"Robert"},{"id":"9101","full_name":"Wilke, Adrian","last_name":"Wilke","orcid":"0000-0002-6575-807X","first_name":"Adrian"},{"first_name":"Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","id":"11871"},{"first_name":"Mohammad Hossein","last_name":"Shaker","full_name":"Shaker, Mohammad Hossein"},{"last_name":"Hammer","full_name":"Hammer, Barbara","first_name":"Barbara"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"date_created":"2022-01-12T10:27:23Z","date_updated":"2022-10-15T19:54:20Z","oa":"1","publisher":"Springer International Publishing","main_file_link":[{"url":"https://papers.dice-research.org/2021/IDEAL2021_DriftDetectionEmbeddings/Drift-Detection-in-Text-Data-with-Document-Embeddings-public.pdf","open_access":"1"}],"doi":"10.1007/978-3-030-91608-4_11","title":"Drift Detection in Text Data with Document Embeddings","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007/978-3-030-91608-4_11"}]},"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030916077","9783030916084"]},"citation":{"ieee":"R. Feldhans <i>et al.</i>, “Drift Detection in Text Data with Document Embeddings,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>, Cham: Springer International Publishing, 2021.","chicago":"Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Cham: Springer International Publishing, 2021. <a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">https://doi.org/10.1007/978-3-030-91608-4_11</a>.","ama":"Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Springer International Publishing; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>","mla":"Feldhans, Robert, et al. “Drift Detection in Text Data with Document Embeddings.” <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>, Springer International Publishing, 2021, doi:<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>.","short":"R. Feldhans, A. Wilke, S. Heindorf, M.H. Shaker, B. Hammer, A.-C. Ngonga Ngomo, E. Hüllermeier, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer International Publishing, Cham, 2021.","bibtex":"@inbook{Feldhans_Wilke_Heindorf_Shaker_Hammer_Ngonga Ngomo_Hüllermeier_2021, place={Cham}, title={Drift Detection in Text Data with Document Embeddings}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>}, booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2021}, publisher={Springer International Publishing}, author={Feldhans, Robert and Wilke, Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}, year={2021} }","apa":"Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., &#38; Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">https://doi.org/10.1007/978-3-030-91608-4_11</a>"},"year":"2021","place":"Cham","user_id":"11871","department":[{"_id":"574"}],"_id":"29292","language":[{"iso":"eng"}],"type":"book_chapter","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2021","status":"public"},{"language":[{"iso":"eng"}],"external_id":{"arxiv":["2106.15230"]},"_id":"29287","department":[{"_id":"574"}],"user_id":"11871","abstract":[{"lang":"eng","text":"Knowledge graph embedding research has mainly focused on the two smallest\r\nnormed division algebras, $\\mathbb{R}$ and $\\mathbb{C}$. Recent results suggest\r\nthat trilinear products of quaternion-valued embeddings can be a more effective\r\nmeans to tackle link prediction. In addition, models based on convolutions on\r\nreal-valued embeddings often yield state-of-the-art results for link\r\nprediction. In this paper, we investigate a composition of convolution\r\noperations with hypercomplex multiplications. We propose the four approaches\r\nQMult, OMult, ConvQ and ConvO to tackle the link prediction problem. QMult and\r\nOMult can be considered as quaternion and octonion extensions of previous\r\nstate-of-the-art approaches, including DistMult and ComplEx. ConvQ and ConvO\r\nbuild upon QMult and OMult by including convolution operations in a way\r\ninspired by the residual learning framework. We evaluated our approaches on\r\nseven link prediction datasets including WN18RR, FB15K-237 and YAGO3-10.\r\nExperimental results suggest that the benefits of learning hypercomplex-valued\r\nvector representations become more apparent as the size and complexity of the\r\nknowledge graph grows. ConvO outperforms state-of-the-art approaches on\r\nFB15K-237 in MRR, Hit@1 and Hit@3, while QMult, OMult, ConvQ and ConvO\r\noutperform state-of-the-approaches on YAGO3-10 in all metrics. Results also\r\nsuggest that link prediction performances can be further improved via\r\nprediction averaging. To foster reproducible research, we provide an\r\nopen-source implementation of approaches, including training and evaluation\r\nscripts as well as pretrained models."}],"status":"public","publication":"The 13th Asian Conference on Machine Learning, ACML 2021","type":"conference","title":"Convolutional Hypercomplex Embeddings for Link Prediction","main_file_link":[{"url":"https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf","open_access":"1"}],"oa":"1","date_updated":"2022-10-17T15:06:40Z","author":[{"full_name":"Demir, Caglar","id":"43817","last_name":"Demir","first_name":"Caglar"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"first_name":"Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","id":"11871","full_name":"Heindorf, Stefan"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2022-01-12T10:21:10Z","year":"2021","citation":{"ieee":"C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.","chicago":"Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021.","ama":"Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex Embeddings for Link Prediction. In: <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>. ; 2021.","apa":"Demir, C., Moussallem, D., Heindorf, S., &#38; Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>.","bibtex":"@inproceedings{Demir_Moussallem_Heindorf_Ngonga Ngomo_2021, title={Convolutional Hypercomplex Embeddings for Link Prediction}, booktitle={The 13th Asian Conference on Machine Learning, ACML 2021}, author={Demir, Caglar and Moussallem, Diego and Heindorf, Stefan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","mla":"Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.” <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021.","short":"C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021."}},{"publication_status":"published","year":"2021","citation":{"chicago":"Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” In <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>. IEEE, 2021. <a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">https://doi.org/10.1109/wacv48630.2021.00204</a>.","ieee":"T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: <a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">10.1109/wacv48630.2021.00204</a>.","ama":"Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>. IEEE; 2021. doi:<a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">10.1109/wacv48630.2021.00204</a>","mla":"Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">10.1109/wacv48630.2021.00204</a>.","short":"T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021.","bibtex":"@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}, DOI={<a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">10.1109/wacv48630.2021.00204</a>}, booktitle={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)}, publisher={IEEE}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}, year={2021} }","apa":"Nickchen, T., Heindorf, S., &#38; Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>. <a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">https://doi.org/10.1109/wacv48630.2021.00204</a>"},"publisher":"IEEE","oa":"1","date_updated":"2022-10-17T15:07:38Z","date_created":"2022-01-12T10:31:42Z","author":[{"id":"27340","full_name":"Nickchen, Tobias","last_name":"Nickchen","orcid":"0000-0001-8958-9330","first_name":"Tobias"},{"first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","id":"11871","full_name":"Heindorf, Stefan"},{"last_name":"Engels","full_name":"Engels, Gregor","id":"107","first_name":"Gregor"}],"title":"Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts","doi":"10.1109/wacv48630.2021.00204","main_file_link":[{"open_access":"1","url":"https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf"}],"publication":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","type":"conference","status":"public","_id":"29294","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"66"},{"_id":"574"}],"user_id":"11871","language":[{"iso":"eng"}]},{"type":"journal_article","status":"public","project":[{"grant_number":"438445824","_id":"109","name":"TRR 318: TRR 318 - Erklärbarkeit konstruieren"}],"_id":"24456","user_id":"42933","department":[{"_id":"603"},{"_id":"749"},{"_id":"424"},{"_id":"67"},{"_id":"574"},{"_id":"184"},{"_id":"757"},{"_id":"54"},{"_id":"178"}],"article_type":"original","file_date_updated":"2023-11-20T16:33:51Z","publication_status":"published","publication_identifier":{"issn":["2379-8920","2379-8939"]},"has_accepted_license":"1","citation":{"ieee":"K. J. Rohlfing <i>et al.</i>, “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems,” <i>IEEE Transactions on Cognitive and Developmental Systems</i>, vol. 13, no. 3, pp. 717–728, 2021, doi: <a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>.","chicago":"Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” <i>IEEE Transactions on Cognitive and Developmental Systems</i> 13, no. 3 (2021): 717–28. <a href=\"https://doi.org/10.1109/tcds.2020.3044366\">https://doi.org/10.1109/tcds.2020.3044366</a>.","ama":"Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. <i>IEEE Transactions on Cognitive and Developmental Systems</i>. 2021;13(3):717-728. doi:<a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>","short":"K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.","mla":"Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” <i>IEEE Transactions on Cognitive and Developmental Systems</i>, vol. 13, no. 3, 2021, pp. 717–28, doi:<a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>.","bibtex":"@article{Rohlfing_Cimiano_Scharlau_Matzner_Buhl_Buschmeier_Esposito_Grimminger_Hammer_Haeb-Umbach_et al._2021, title={Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems}, volume={13}, DOI={<a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>}, number={3}, journal={IEEE Transactions on Cognitive and Developmental Systems}, author={Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner, Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger, Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and et al.}, year={2021}, pages={717–728} }","apa":"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., &#38; Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. <i>IEEE Transactions on Cognitive and Developmental Systems</i>, <i>13</i>(3), 717–728. <a href=\"https://doi.org/10.1109/tcds.2020.3044366\">https://doi.org/10.1109/tcds.2020.3044366</a>"},"page":"717-728","intvolume":"        13","date_updated":"2023-12-05T10:15:02Z","oa":"1","author":[{"id":"50352","full_name":"Rohlfing, Katharina J.","last_name":"Rohlfing","first_name":"Katharina J."},{"first_name":"Philipp","last_name":"Cimiano","full_name":"Cimiano, Philipp"},{"last_name":"Scharlau","orcid":"0000-0003-2364-9489","id":"451","full_name":"Scharlau, Ingrid","first_name":"Ingrid"},{"first_name":"Tobias","last_name":"Matzner","full_name":"Matzner, Tobias","id":"65695"},{"id":"27152","full_name":"Buhl, Heike M.","last_name":"Buhl","first_name":"Heike M."},{"full_name":"Buschmeier, Hendrik","last_name":"Buschmeier","first_name":"Hendrik"},{"first_name":"Elena","full_name":"Esposito, Elena","last_name":"Esposito"},{"last_name":"Grimminger","id":"57578","full_name":"Grimminger, Angela","first_name":"Angela"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"},{"id":"68836","full_name":"Horwath, Ilona","last_name":"Horwath","first_name":"Ilona"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"},{"full_name":"Kern, Friederike","last_name":"Kern","first_name":"Friederike"},{"first_name":"Stefan","full_name":"Kopp, Stefan","last_name":"Kopp"},{"last_name":"Thommes","id":"72497","full_name":"Thommes, Kirsten","first_name":"Kirsten"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"first_name":"Carsten","last_name":"Schulte","id":"60311","full_name":"Schulte, Carsten"},{"full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth","first_name":"Henning"},{"first_name":"Petra","last_name":"Wagner","full_name":"Wagner, Petra"},{"full_name":"Wrede, Britta","last_name":"Wrede","first_name":"Britta"}],"volume":13,"doi":"10.1109/tcds.2020.3044366","publication":"IEEE Transactions on Cognitive and Developmental Systems","abstract":[{"text":"One objective of current research in explainable intelligent systems is to implement social aspects in order to increase the relevance of explanations. In this paper, we argue that a novel conceptual framework is needed to overcome shortcomings of existing AI systems with little attention to processes of interaction and learning. Drawing from research in interaction and development, we first outline the novel conceptual framework that pushes the design of AI systems toward true interactivity with an emphasis on the role of the partner and social relevance. We propose that AI systems will be able to provide a meaningful and relevant explanation only if the process of explaining is extended to active contribution of both partners that brings about dynamics that is modulated by different levels of analysis. Accordingly, our conceptual framework comprises monitoring and scaffolding as key concepts and claims that the process of explaining is not only modulated by the interaction between explainee and explainer but is embedded into a larger social context in which conventionalized and routinized behaviors are established. We discuss our conceptual framework in relation to the established objectives of transparency and autonomy that are raised for the design of explainable AI systems currently.","lang":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2023-11-20T16:33:51Z","creator":"haebumb","date_created":"2023-11-20T16:33:51Z","file_size":626217,"file_id":"49081","file_name":"2020-12-01_explainability_final_version.pdf","access_level":"open_access"}],"ddc":["300"],"keyword":["Explainability","process ofexplaining andunderstanding","explainable artificial systems"],"language":[{"iso":"eng"}],"quality_controlled":"1","issue":"3","year":"2021","date_created":"2021-09-14T20:52:57Z","title":"Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems"},{"publication_status":"published","has_accepted_license":"1","year":"2021","citation":{"apa":"Zahera, H. M. A., Heindorf, S., &#38; Ngonga Ngomo, A.-C. (2021). ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. <i>Proceedings of the 11th on Knowledge Capture Conference</i>. <a href=\"https://doi.org/10.1145/3460210.3493563\">https://doi.org/10.1145/3460210.3493563</a>","mla":"Zahera, Hamada Mohamed Abdelsamee, et al. “ASSET: A Semi-Supervised Approach for Entity Typing in Knowledge Graphs.” <i>Proceedings of the 11th on Knowledge Capture Conference</i>, ACM, 2021, doi:<a href=\"https://doi.org/10.1145/3460210.3493563\">10.1145/3460210.3493563</a>.","bibtex":"@inproceedings{Zahera_Heindorf_Ngonga Ngomo_2021, title={ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1145/3460210.3493563\">10.1145/3460210.3493563</a>}, booktitle={Proceedings of the 11th on Knowledge Capture Conference}, publisher={ACM}, author={Zahera, Hamada Mohamed Abdelsamee and Heindorf, Stefan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","short":"H.M.A. Zahera, S. Heindorf, A.-C. Ngonga Ngomo, in: Proceedings of the 11th on Knowledge Capture Conference, ACM, 2021.","chicago":"Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “ASSET: A Semi-Supervised Approach for Entity Typing in Knowledge Graphs.” In <i>Proceedings of the 11th on Knowledge Capture Conference</i>. ACM, 2021. <a href=\"https://doi.org/10.1145/3460210.3493563\">https://doi.org/10.1145/3460210.3493563</a>.","ieee":"H. M. A. Zahera, S. Heindorf, and A.-C. Ngonga Ngomo, “ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs,” 2021, doi: <a href=\"https://doi.org/10.1145/3460210.3493563\">10.1145/3460210.3493563</a>.","ama":"Zahera HMA, Heindorf S, Ngonga Ngomo A-C. ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. In: <i>Proceedings of the 11th on Knowledge Capture Conference</i>. ACM; 2021. doi:<a href=\"https://doi.org/10.1145/3460210.3493563\">10.1145/3460210.3493563</a>"},"publisher":"ACM","date_updated":"2024-05-30T18:02:43Z","oa":"1","date_created":"2022-01-12T10:27:02Z","author":[{"first_name":"Hamada Mohamed Abdelsamee","orcid":"0000-0003-0215-1278","last_name":"Zahera","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768"},{"full_name":"Heindorf, Stefan","id":"11871","last_name":"Heindorf","orcid":"0000-0002-4525-6865","first_name":"Stefan"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"title":"ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs","main_file_link":[{"url":"https://papers.dice-research.org/2021/KCAP2021_ASSET/public.pdf","open_access":"1"}],"doi":"10.1145/3460210.3493563","type":"conference","publication":"Proceedings of the 11th on Knowledge Capture Conference","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"54523","file_name":"ASSET_public.pdf","file_size":537882,"creator":"heindorf","date_created":"2024-05-30T18:02:28Z","date_updated":"2024-05-30T18:02:28Z"}],"status":"public","_id":"29291","user_id":"11871","department":[{"_id":"574"}],"ddc":["000"],"file_date_updated":"2024-05-30T18:02:28Z","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"_id":"54586","user_id":"77309","department":[{"_id":"574"}],"status":"public","type":"book_chapter","publication":"The Semantic Web: ESWC 2021 Satellite Events","title":"Unsupervised Relation Extraction Using Sentence Encoding","doi":"10.1007/978-3-030-80418-3_25","date_updated":"2024-06-04T12:24:52Z","publisher":"Springer International Publishing","date_created":"2024-06-04T12:23:21Z","author":[{"last_name":"Manzoor","id":"77309","full_name":"Manzoor, Ali","first_name":"Ali"},{"first_name":"Muhammad","last_name":"Saleem","full_name":"Saleem, Muhammad"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"year":"2021","place":"Cham","citation":{"apa":"Manzoor, A., Saleem, M., &#38; Ngonga Ngomo, A.-C. (2021). Unsupervised Relation Extraction Using Sentence Encoding. In <i>The Semantic Web: ESWC 2021 Satellite Events</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-80418-3_25\">https://doi.org/10.1007/978-3-030-80418-3_25</a>","mla":"Manzoor, Ali, et al. “Unsupervised Relation Extraction Using Sentence Encoding.” <i>The Semantic Web: ESWC 2021 Satellite Events</i>, Springer International Publishing, 2021, doi:<a href=\"https://doi.org/10.1007/978-3-030-80418-3_25\">10.1007/978-3-030-80418-3_25</a>.","bibtex":"@inbook{Manzoor_Saleem_Ngonga Ngomo_2021, place={Cham}, title={Unsupervised Relation Extraction Using Sentence Encoding}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-80418-3_25\">10.1007/978-3-030-80418-3_25</a>}, booktitle={The Semantic Web: ESWC 2021 Satellite Events}, publisher={Springer International Publishing}, author={Manzoor, Ali and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","short":"A. Manzoor, M. Saleem, A.-C. Ngonga Ngomo, in: The Semantic Web: ESWC 2021 Satellite Events, Springer International Publishing, Cham, 2021.","ama":"Manzoor A, Saleem M, Ngonga Ngomo A-C. Unsupervised Relation Extraction Using Sentence Encoding. In: <i>The Semantic Web: ESWC 2021 Satellite Events</i>. Springer International Publishing; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-80418-3_25\">10.1007/978-3-030-80418-3_25</a>","ieee":"A. Manzoor, M. Saleem, and A.-C. Ngonga Ngomo, “Unsupervised Relation Extraction Using Sentence Encoding,” in <i>The Semantic Web: ESWC 2021 Satellite Events</i>, Cham: Springer International Publishing, 2021.","chicago":"Manzoor, Ali, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Unsupervised Relation Extraction Using Sentence Encoding.” In <i>The Semantic Web: ESWC 2021 Satellite Events</i>. Cham: Springer International Publishing, 2021. <a href=\"https://doi.org/10.1007/978-3-030-80418-3_25\">https://doi.org/10.1007/978-3-030-80418-3_25</a>."},"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030804176","9783030804183"]}},{"keyword":["Logic","Hardware and Architecture","Arts and Humanities (miscellaneous)","Software","Theoretical Computer Science"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n               <jats:p>Abductive reasoning is a non-monotonic formalism stemming from the work of Peirce. It describes the process of deriving the most plausible explanations of known facts. Considering the positive version, asking for sets of variables as explanations, we study, besides the problem of wether there exists a set of explanations, two explanation size limited variants of this reasoning problem (less than or equal to, and equal to a given size bound). In this paper, we present a thorough two-dimensional classification of these problems: the first dimension is regarding the parameterized complexity under a wealth of different parameterizations, and the second dimension spans through all possible Boolean fragments of these problems in Schaefer’s constraint satisfaction framework with co-clones (T. J. Schaefer. The complexity of satisfiability problems. In Proceedings of the 10th Annual ACM Symposium on Theory of Computing, May 1–3, 1978, San Diego, California, USA, R.J. Lipton, W.A. Burkhard, W.J. Savitch, E.P. Friedman, A.V. Aho eds, pp. 216–226. ACM, 1978). Thereby, we almost complete the parameterized complexity classification program initiated by Fellows et al. (The parameterized complexity of abduction. In Proceedings of the Twenty-Sixth AAAI Conference on Articial Intelligence, July 22–26, 2012, Toronto, Ontario, Canada, J. Homann, B. Selman eds. AAAI Press, 2012), partially building on the results by Nordh and Zanuttini (What makes propositional abduction tractable. Artificial Intelligence, 172, 1245–1284, 2008). In this process, we outline a fine-grained analysis of the inherent parameterized intractability of these problems and pinpoint their FPT parts. As the standard algebraic approach is not applicable to our problems, we develop an alternative method that makes the algebraic tools partially available again.</jats:p>"}],"publication":"Journal of Logic and Computation","title":"Parameterized complexity of abduction in Schaefer’s framework","publisher":"Oxford University Press (OUP)","date_created":"2023-07-03T11:35:23Z","year":"2021","issue":"1","extern":"1","_id":"45844","department":[{"_id":"574"}],"user_id":"99353","status":"public","type":"journal_article","doi":"10.1093/logcom/exaa079","date_updated":"2024-06-04T16:03:14Z","volume":31,"author":[{"first_name":"Yasir","last_name":"Mahmood","full_name":"Mahmood, Yasir"},{"full_name":"Meier, Arne","last_name":"Meier","first_name":"Arne"},{"last_name":"Schmidt","full_name":"Schmidt, Johannes","first_name":"Johannes"}],"intvolume":"        31","page":"266-296","citation":{"chicago":"Mahmood, Yasir, Arne Meier, and Johannes Schmidt. “Parameterized Complexity of Abduction in Schaefer’s Framework.” <i>Journal of Logic and Computation</i> 31, no. 1 (2021): 266–96. <a href=\"https://doi.org/10.1093/logcom/exaa079\">https://doi.org/10.1093/logcom/exaa079</a>.","ieee":"Y. Mahmood, A. Meier, and J. Schmidt, “Parameterized complexity of abduction in Schaefer’s framework,” <i>Journal of Logic and Computation</i>, vol. 31, no. 1, pp. 266–296, 2021, doi: <a href=\"https://doi.org/10.1093/logcom/exaa079\">10.1093/logcom/exaa079</a>.","ama":"Mahmood Y, Meier A, Schmidt J. Parameterized complexity of abduction in Schaefer’s framework. <i>Journal of Logic and Computation</i>. 2021;31(1):266-296. doi:<a href=\"https://doi.org/10.1093/logcom/exaa079\">10.1093/logcom/exaa079</a>","apa":"Mahmood, Y., Meier, A., &#38; Schmidt, J. (2021). Parameterized complexity of abduction in Schaefer’s framework. <i>Journal of Logic and Computation</i>, <i>31</i>(1), 266–296. <a href=\"https://doi.org/10.1093/logcom/exaa079\">https://doi.org/10.1093/logcom/exaa079</a>","short":"Y. Mahmood, A. Meier, J. Schmidt, Journal of Logic and Computation 31 (2021) 266–296.","bibtex":"@article{Mahmood_Meier_Schmidt_2021, title={Parameterized complexity of abduction in Schaefer’s framework}, volume={31}, DOI={<a href=\"https://doi.org/10.1093/logcom/exaa079\">10.1093/logcom/exaa079</a>}, number={1}, journal={Journal of Logic and Computation}, publisher={Oxford University Press (OUP)}, author={Mahmood, Yasir and Meier, Arne and Schmidt, Johannes}, year={2021}, pages={266–296} }","mla":"Mahmood, Yasir, et al. “Parameterized Complexity of Abduction in Schaefer’s Framework.” <i>Journal of Logic and Computation</i>, vol. 31, no. 1, Oxford University Press (OUP), 2021, pp. 266–96, doi:<a href=\"https://doi.org/10.1093/logcom/exaa079\">10.1093/logcom/exaa079</a>."},"publication_identifier":{"issn":["0955-792X","1465-363X"]},"publication_status":"published"},{"language":[{"iso":"eng"}],"keyword":["SPARQL","benchmarking","cost-based","cost-free","federated","querying"],"ddc":["000"],"publication":"Semantic Web","file":[{"content_type":"application/pdf","relation":"main_file","success":1,"creator":"uqudus","date_created":"2024-01-13T11:35:53Z","date_updated":"2024-01-13T11:35:53Z","file_id":"50483","file_name":"swj2604.pdf","access_level":"closed","file_size":978478}],"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."}],"date_created":"2021-10-01T06:52:52Z","publisher":"ISO Press","title":"An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines","issue":"6","year":"2021","department":[{"_id":"574"}],"user_id":"83392","_id":"25212","project":[{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"}],"file_date_updated":"2024-01-13T11:35:53Z","article_type":"original","type":"journal_article","status":"public","volume":12,"author":[{"full_name":"Qudus, Umair","id":"83392","orcid":"0000-0001-6714-8729","last_name":"Qudus","first_name":"Umair"},{"first_name":"Muhammad","last_name":"Saleem","full_name":"Saleem, Muhammad"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"last_name":"Lee","full_name":"Lee, Young-Koo","first_name":"Young-Koo"}],"date_updated":"2025-09-11T09:50:14Z","doi":"10.3233/SW-200420","has_accepted_license":"1","publication_identifier":{"issn":["2210-4968"]},"publication_status":"accepted","intvolume":"        12","page":"843-868","citation":{"apa":"Qudus, U., Saleem, M., Ngonga Ngomo, A.-C., &#38; Lee, Y.-K. (n.d.). An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. <i>Semantic Web</i>, <i>12</i>(6), 843–868. <a href=\"https://doi.org/10.3233/SW-200420\">https://doi.org/10.3233/SW-200420</a>","bibtex":"@article{Qudus_Saleem_Ngonga Ngomo_Lee, title={An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines}, volume={12}, DOI={<a href=\"https://doi.org/10.3233/SW-200420\">10.3233/SW-200420</a>}, 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} }","short":"U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, Y.-K. Lee, Semantic Web 12 (n.d.) 843–868.","mla":"Qudus, Umair, et al. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing Engines.” <i>Semantic Web</i>, vol. 12, no. 6, ISO Press, pp. 843–68, doi:<a href=\"https://doi.org/10.3233/SW-200420\">10.3233/SW-200420</a>.","ama":"Qudus U, Saleem M, Ngonga Ngomo A-C, Lee Y-K. An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. <i>Semantic Web</i>. 12(6):843-868. doi:<a href=\"https://doi.org/10.3233/SW-200420\">10.3233/SW-200420</a>","chicago":"Qudus, Umair, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, and Young-Koo Lee. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing Engines.” <i>Semantic Web</i> 12, no. 6 (n.d.): 843–68. <a href=\"https://doi.org/10.3233/SW-200420\">https://doi.org/10.3233/SW-200420</a>.","ieee":"U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, and Y.-K. Lee, “An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines,” <i>Semantic Web</i>, vol. 12, no. 6, pp. 843–868, doi: <a href=\"https://doi.org/10.3233/SW-200420\">10.3233/SW-200420</a>."}},{"publication_identifier":{"issn":["1868-1158","2215-0870"]},"publication_status":"published","citation":{"apa":"Khan, H., Manzoor, A., Ngonga Ngomo, A.-C., &#38; Saleem, M. (2021). When is the Peak Performance Reached? An Analysis of RDF Triple Stores. In <i>Studies on the Semantic Web</i>. IOS Press. <a href=\"https://doi.org/10.3233/ssw210042\">https://doi.org/10.3233/ssw210042</a>","short":"H. Khan, A. Manzoor, A.-C. Ngonga Ngomo, M. Saleem, in: Studies on the Semantic Web, IOS Press, 2021.","bibtex":"@inbook{Khan_Manzoor_Ngonga Ngomo_Saleem_2021, title={When is the Peak Performance Reached? An Analysis of RDF Triple Stores}, DOI={<a href=\"https://doi.org/10.3233/ssw210042\">10.3233/ssw210042</a>}, booktitle={Studies on the Semantic Web}, publisher={IOS Press}, author={Khan, Hashim and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Saleem, Muhammad}, year={2021} }","mla":"Khan, Hashim, et al. “When Is the Peak Performance Reached? An Analysis of RDF Triple Stores.” <i>Studies on the Semantic Web</i>, IOS Press, 2021, doi:<a href=\"https://doi.org/10.3233/ssw210042\">10.3233/ssw210042</a>.","chicago":"Khan, Hashim, Ali Manzoor, Axel-Cyrille Ngonga Ngomo, and Muhammad Saleem. “When Is the Peak Performance Reached? An Analysis of RDF Triple Stores.” In <i>Studies on the Semantic Web</i>. IOS Press, 2021. <a href=\"https://doi.org/10.3233/ssw210042\">https://doi.org/10.3233/ssw210042</a>.","ieee":"H. Khan, A. Manzoor, A.-C. Ngonga Ngomo, and M. Saleem, “When is the Peak Performance Reached? An Analysis of RDF Triple Stores,” in <i>Studies on the Semantic Web</i>, IOS Press, 2021.","ama":"Khan H, Manzoor A, Ngonga Ngomo A-C, Saleem M. When is the Peak Performance Reached? An Analysis of RDF Triple Stores. In: <i>Studies on the Semantic Web</i>. IOS Press; 2021. doi:<a href=\"https://doi.org/10.3233/ssw210042\">10.3233/ssw210042</a>"},"year":"2021","author":[{"full_name":"Khan, Hashim","id":"76510","orcid":"0009-0006-5953-480X","last_name":"Khan","first_name":"Hashim"},{"last_name":"Manzoor","orcid":"https://orcid.org/0000-0001-8403-5160","full_name":"Manzoor, Ali","id":"77309","first_name":"Ali"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"}],"date_created":"2024-06-04T12:25:53Z","publisher":"IOS Press","date_updated":"2025-09-11T11:39:47Z","doi":"10.3233/ssw210042","title":"When is the Peak Performance Reached? An Analysis of RDF Triple Stores","publication":"Studies on the Semantic Web","type":"book_chapter","status":"public","abstract":[{"text":"<jats:p>With significant growth in RDF datasets, application developers demand online availability of these datasets to meet the end users’ expectations. Various interfaces are available for querying RDF data using SPARQL query language. Studies show that SPARQL end-points may provide high query runtime performance at the cost of low availability. For example, it has been observed that only 32.2% of public endpoints have a monthly uptime of 99–100%. One possible reason for this low availability is the high workload experienced by these SPARQL endpoints. As complete query execution is performed at server side (i.e., SPARQL endpoint), this high query processing workload may result in performance degradation or even a service shutdown. We performed extensive experiments to show the query processing capabilities of well-known triple stores by using their SPARQL endpoints. In particular, we stressed these triple stores with multiple parallel requests from different querying agents. Our experiments revealed the maximum query processing capabilities of these triple stores after which point they lead to service shutdowns. We hope this analysis will help triple store developers to design workload-aware RDF engines to improve the availability of their public endpoints with high throughput.</jats:p>","lang":"eng"}],"department":[{"_id":"574"}],"user_id":"77309","_id":"54587","language":[{"iso":"eng"}]},{"title":"Knowledge Graphs for Multilingual Language Translation and Generation","doi":"10.17619/UNIPB/1-980","date_updated":"2022-11-30T13:43:53Z","supervisor":[{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"author":[{"last_name":"Moussalem","full_name":"Moussalem, Diego Campos","first_name":"Diego Campos"}],"date_created":"2020-05-05T06:16:29Z","year":"2020","citation":{"mla":"Moussalem, Diego Campos. <i>Knowledge Graphs for Multilingual Language Translation and Generation</i>. 2020, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-980\">10.17619/UNIPB/1-980</a>.","bibtex":"@book{Moussalem_2020, title={Knowledge Graphs for Multilingual Language Translation and Generation}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-980\">10.17619/UNIPB/1-980</a>}, author={Moussalem, Diego Campos}, year={2020} }","short":"D.C. Moussalem, Knowledge Graphs for Multilingual Language Translation and Generation, 2020.","apa":"Moussalem, D. C. (2020). <i>Knowledge Graphs for Multilingual Language Translation and Generation</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-980\">https://doi.org/10.17619/UNIPB/1-980</a>","chicago":"Moussalem, Diego Campos. <i>Knowledge Graphs for Multilingual Language Translation and Generation</i>, 2020. <a href=\"https://doi.org/10.17619/UNIPB/1-980\">https://doi.org/10.17619/UNIPB/1-980</a>.","ieee":"D. C. Moussalem, <i>Knowledge Graphs for Multilingual Language Translation and Generation</i>. 2020.","ama":"Moussalem DC. <i>Knowledge Graphs for Multilingual Language Translation and Generation</i>.; 2020. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-980\">10.17619/UNIPB/1-980</a>"},"language":[{"iso":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"_id":"16935","user_id":"477","department":[{"_id":"574"}],"status":"public","type":"dissertation"},{"year":"2020","citation":{"ama":"Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In: <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>. ; 2020:3023-3030. doi:<a href=\"https://doi.org/10.1145/3340531.3412763\">10.1145/3340531.3412763</a>","chicago":"Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from the Web.” In <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>, 3023–30, 2020. <a href=\"https://doi.org/10.1145/3340531.3412763\">https://doi.org/10.1145/3340531.3412763</a>.","ieee":"S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, and M. Potthast, “CauseNet: Towards a Causality Graph Extracted from the Web,” in <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>, 2020, pp. 3023–3030, doi: <a href=\"https://doi.org/10.1145/3340531.3412763\">10.1145/3340531.3412763</a>.","mla":"Heindorf, Stefan, et al. “CauseNet: Towards a Causality Graph Extracted from the Web.” <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>, 2020, pp. 3023–30, doi:<a href=\"https://doi.org/10.1145/3340531.3412763\">10.1145/3340531.3412763</a>.","bibtex":"@inproceedings{Heindorf_Scholten_Wachsmuth_Ngonga Ngomo_Potthast_2020, title={CauseNet: Towards a Causality Graph Extracted from the Web}, DOI={<a href=\"https://doi.org/10.1145/3340531.3412763\">10.1145/3340531.3412763</a>}, booktitle={Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)}, author={Heindorf, Stefan and Scholten, Yan and Wachsmuth, Henning and Ngonga Ngomo, Axel-Cyrille and Potthast, Martin}, year={2020}, pages={3023–3030} }","short":"S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, M. Potthast, in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–3030.","apa":"Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., &#38; Potthast, M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>, 3023–3030. <a href=\"https://doi.org/10.1145/3340531.3412763\">https://doi.org/10.1145/3340531.3412763</a>"},"page":"3023-3030","date_updated":"2022-10-15T19:57:01Z","oa":"1","author":[{"first_name":"Stefan","id":"11871","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf"},{"first_name":"Yan","last_name":"Scholten","full_name":"Scholten, Yan"},{"full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth","first_name":"Henning"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"}],"date_created":"2020-10-20T13:11:14Z","title":"CauseNet: Towards a Causality Graph Extracted from the Web","main_file_link":[{"url":"https://papers.dice-research.org/2020/CIKM-20/heindorf_2020a_public.pdf","open_access":"1"}],"doi":"10.1145/3340531.3412763","type":"conference","publication":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)","status":"public","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"20141","user_id":"11871","department":[{"_id":"574"}],"language":[{"iso":"eng"}]},{"citation":{"chicago":"Röder, Michael, Mohamed Sherif, Muhammad Saleem, Felix Conrads, and Axel-Cyrille Ngonga Ngomo. “Benchmarking the Lifecycle of Knowledge Graphs.” In <i>Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>, edited by Ilaria Tiddi, Freddy Lécué, and Pascal Hitzler, 73–97. IOS Press, 2020. <a href=\"https://doi.org/10.3233/SSW200012\">https://doi.org/10.3233/SSW200012</a>.","ieee":"M. Röder, M. Sherif, M. Saleem, F. Conrads, and A.-C. Ngonga Ngomo, “Benchmarking the Lifecycle of Knowledge Graphs,” in <i>Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>, I. Tiddi, F. Lécué, and P. Hitzler, Eds. IOS Press, 2020, pp. 73–97.","ama":"Röder M, Sherif M, Saleem M, Conrads F, Ngonga Ngomo A-C. Benchmarking the Lifecycle of Knowledge Graphs. In: Tiddi I, Lécué F, Hitzler P, eds. <i>Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>. IOS Press; 2020:73-97. doi:<a href=\"https://doi.org/10.3233/SSW200012\">10.3233/SSW200012</a>","apa":"Röder, M., Sherif, M., Saleem, M., Conrads, F., &#38; Ngonga Ngomo, A.-C. (2020). Benchmarking the Lifecycle of Knowledge Graphs. In I. Tiddi, F. Lécué, &#38; P. Hitzler (Eds.), <i>Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges</i> (pp. 73–97). IOS Press. <a href=\"https://doi.org/10.3233/SSW200012\">https://doi.org/10.3233/SSW200012</a>","bibtex":"@inbook{Röder_Sherif_Saleem_Conrads_Ngonga Ngomo_2020, title={Benchmarking the Lifecycle of Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.3233/SSW200012\">10.3233/SSW200012</a>}, booktitle={Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges}, publisher={IOS Press}, author={Röder, Michael and Sherif, Mohamed and Saleem, Muhammad and Conrads, Felix and Ngonga Ngomo, Axel-Cyrille}, editor={Tiddi, Ilaria and Lécué, Freddy and Hitzler, Pascal}, year={2020}, pages={73–97} }","short":"M. Röder, M. Sherif, M. Saleem, F. Conrads, A.-C. Ngonga Ngomo, in: I. Tiddi, F. Lécué, P. Hitzler (Eds.), Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges, IOS Press, 2020, pp. 73–97.","mla":"Röder, Michael, et al. “Benchmarking the Lifecycle of Knowledge Graphs.” <i>Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>, edited by Ilaria Tiddi et al., IOS Press, 2020, pp. 73–97, doi:<a href=\"https://doi.org/10.3233/SSW200012\">10.3233/SSW200012</a>."},"page":"73-97","year":"2020","doi":"10.3233/SSW200012","title":"Benchmarking the Lifecycle of Knowledge Graphs","author":[{"full_name":"Röder, Michael","last_name":"Röder","first_name":"Michael"},{"last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","full_name":"Sherif, Mohamed","id":"67234","first_name":"Mohamed"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"first_name":"Felix","last_name":"Conrads","full_name":"Conrads, Felix"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_created":"2021-12-17T10:06:12Z","date_updated":"2023-08-16T09:32:51Z","publisher":"IOS Press","status":"public","editor":[{"full_name":"Tiddi, Ilaria","last_name":"Tiddi","first_name":"Ilaria"},{"first_name":"Freddy","last_name":"Lécué","full_name":"Lécué, Freddy"},{"last_name":"Hitzler","full_name":"Hitzler, Pascal","first_name":"Pascal"}],"type":"book_chapter","publication":"Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges","language":[{"iso":"eng"}],"keyword":["dice group_aksw roeder sherif saleem fconrads ngonga"],"user_id":"67234","department":[{"_id":"574"}],"_id":"29042"},{"title":"Ranking on Very Large Knowledge Graphs","doi":"10.1145/3342220.3343660","conference":{"end_date":"2019-09-20","start_date":"2019-09-17","name":"30th ACM Conference on Hypertext and Social Media"},"date_updated":"2022-01-06T06:52:41Z","publisher":"ACM","author":[{"first_name":"Abdelmoneim Amer","last_name":"Desouki","full_name":"Desouki, Abdelmoneim Amer"},{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2020-02-18T16:39:35Z","year":"2019","citation":{"ama":"Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs. In: <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19</i>. ACM; 2019:163-171. doi:<a href=\"https://doi.org/10.1145/3342220.3343660\">10.1145/3342220.3343660</a>","chicago":"Desouki, Abdelmoneim Amer, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “Ranking on Very Large Knowledge Graphs.” In <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19</i>, 163–71. ACM, 2019. <a href=\"https://doi.org/10.1145/3342220.3343660\">https://doi.org/10.1145/3342220.3343660</a>.","ieee":"A. A. Desouki, M. Röder, and A.-C. Ngonga Ngomo, “Ranking on Very Large Knowledge Graphs,” in <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19</i>, 2019, pp. 163–171.","apa":"Desouki, A. A., Röder, M., &#38; Ngonga Ngomo, A.-C. (2019). Ranking on Very Large Knowledge Graphs. In <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19</i> (pp. 163–171). ACM. <a href=\"https://doi.org/10.1145/3342220.3343660\">https://doi.org/10.1145/3342220.3343660</a>","bibtex":"@inproceedings{Desouki_Röder_Ngonga Ngomo_2019, title={Ranking on Very Large Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1145/3342220.3343660\">10.1145/3342220.3343660</a>}, booktitle={Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19}, publisher={ACM}, author={Desouki, Abdelmoneim Amer and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={163–171} }","mla":"Desouki, Abdelmoneim Amer, et al. “Ranking on Very Large Knowledge Graphs.” <i>Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19</i>, ACM, 2019, pp. 163–71, doi:<a href=\"https://doi.org/10.1145/3342220.3343660\">10.1145/3342220.3343660</a>.","short":"A.A. Desouki, M. Röder, A.-C. Ngonga Ngomo, in: Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19, ACM, 2019, pp. 163–171."},"page":"163-171","publication_status":"published","publication_identifier":{"isbn":["9781450368858"]},"keyword":["Knowledge Graphs","Ranking","RDF"],"language":[{"iso":"eng"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"15921","user_id":"69382","department":[{"_id":"574"}],"abstract":[{"lang":"eng","text":"Ranking plays a central role in a large number of applications driven by RDF knowledge graphs. Over the last years, many popular RDF knowledge graphs have grown so large that rankings for the facts they contain cannot be computed directly using the currently common 64-bit platforms. In this paper, we tackle two problems:\r\nComputing ranks on such large knowledge bases efficiently and incrementally. First, we present D-HARE, a distributed approach for computing ranks on very large knowledge graphs. D-HARE assumes the random surfer model and relies on data partitioning to compute matrix multiplications and transpositions on disk for matrices of arbitrary size. Moreover, the data partitioning underlying D-HARE allows the execution of most of its steps in parallel.\r\nAs very large knowledge graphs are often updated periodically, we tackle the incremental computation of ranks on large knowledge bases as a second problem. We address this problem by presenting\r\nI-HARE, an approximation technique for calculating the overall ranking scores of a knowledge without the need to recalculate the ranking from scratch at each new revision. We evaluate our approaches by calculating ranks on the 3 × 10^9 and 2.4 × 10^9 triples from Wikidata resp. LinkedGeoData. Our evaluation demonstrates\r\nthat D-HARE is the first holistic approach for computing ranks on very large RDF knowledge graphs. In addition, our incremental approach achieves a root mean squared error of less than 10E−7 in the best case. Both D-HARE\r\n and I-HARE are open-source and are available at: https://github.com/dice-group/incrementalHARE.\r\n"}],"status":"public","type":"conference","publication":"Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT '19"},{"date_updated":"2026-03-09T12:49:48Z","_id":"46539","user_id":"14972","author":[{"last_name":"Jiménez-Ruiz","full_name":"Jiménez-Ruiz, Ernesto","first_name":"Ernesto"},{"full_name":"Saveta, Tzanina","last_name":"Saveta","first_name":"Tzanina"},{"first_name":"Ondrej","full_name":"Zamazal, Ondrej","last_name":"Zamazal"},{"first_name":"Sven","full_name":"Hertling, Sven","last_name":"Hertling"},{"first_name":"Michael","last_name":"Röder","full_name":"Röder, Michael"},{"full_name":"Fundulaki, Irini","last_name":"Fundulaki","first_name":"Irini"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"first_name":"Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","id":"67234","full_name":"Sherif, Mohamed"},{"first_name":"Amina","last_name":"Annane","full_name":"Annane, Amina"},{"first_name":"Zohra","last_name":"Bellahsene","full_name":"Bellahsene, Zohra"},{"last_name":"Yahia","full_name":"Yahia, Sadok Ben","first_name":"Sadok Ben"},{"full_name":"Diallo, Gayo","last_name":"Diallo","first_name":"Gayo"},{"first_name":"Daniel","full_name":"Faria, Daniel","last_name":"Faria"},{"first_name":"Marouen","last_name":"Kachroudi","full_name":"Kachroudi, Marouen"},{"full_name":"Khiat, Abderrahmane","last_name":"Khiat","first_name":"Abderrahmane"},{"full_name":"Lambrix, Patrick","last_name":"Lambrix","first_name":"Patrick"},{"last_name":"Li","full_name":"Li, Huanyu","first_name":"Huanyu"},{"first_name":"Maximilian","full_name":"Mackeprang, Maximilian","last_name":"Mackeprang"},{"full_name":"Mohammadi, Majid","last_name":"Mohammadi","first_name":"Majid"},{"first_name":"Maciej","full_name":"Rybinski, Maciej","last_name":"Rybinski"},{"last_name":"Balasubramani","full_name":"Balasubramani, Booma Sowkarthiga","first_name":"Booma Sowkarthiga"},{"full_name":"Trojahn, Cassia","last_name":"Trojahn","first_name":"Cassia"}],"date_created":"2023-08-16T10:31:40Z","department":[{"_id":"574"}],"keyword":["2018 DICE SIMBA group_aksw ngonga projecthobbit roeder sherif"],"title":"Introducing the HOBBIT platform into the Ontology Alignment Evaluation Campaign","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Ontology Matching Workshop 2018","year":"2018","abstract":[{"text":"This paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign. Like in 2012, when we transitioned the evaluation to the SEALS platform, we have also conducted a pre-campaign to assess the feasibility of moving to the HOBBIT platform. We report the experiences of this precampaign and discuss the future steps for the OAEI.","lang":"eng"}],"citation":{"chicago":"Jiménez-Ruiz, Ernesto, Tzanina Saveta, Ondrej Zamazal, Sven Hertling, Michael Röder, Irini Fundulaki, Axel-Cyrille Ngonga Ngomo, et al. “Introducing the HOBBIT Platform into the Ontology Alignment Evaluation Campaign.” In <i>Proceedings of the Ontology Matching Workshop 2018</i>, 2018.","ieee":"E. Jiménez-Ruiz <i>et al.</i>, “Introducing the HOBBIT platform into the Ontology Alignment Evaluation Campaign,” 2018.","apa":"Jiménez-Ruiz, E., Saveta, T., Zamazal, O., Hertling, S., Röder, M., Fundulaki, I., Ngonga Ngomo, A.-C., Sherif, M., Annane, A., Bellahsene, Z., Yahia, S. B., Diallo, G., Faria, D., Kachroudi, M., Khiat, A., Lambrix, P., Li, H., Mackeprang, M., Mohammadi, M., … Trojahn, C. (2018). Introducing the HOBBIT platform into the Ontology Alignment Evaluation Campaign. <i>Proceedings of the Ontology Matching Workshop 2018</i>.","ama":"Jiménez-Ruiz E, Saveta T, Zamazal O, et al. Introducing the HOBBIT platform into the Ontology Alignment Evaluation Campaign. In: <i>Proceedings of the Ontology Matching Workshop 2018</i>. ; 2018.","bibtex":"@inproceedings{Jiménez-Ruiz_Saveta_Zamazal_Hertling_Röder_Fundulaki_Ngonga Ngomo_Sherif_Annane_Bellahsene_et al._2018, title={Introducing the HOBBIT platform into the Ontology Alignment Evaluation Campaign}, booktitle={Proceedings of the Ontology Matching Workshop 2018}, author={Jiménez-Ruiz, Ernesto and Saveta, Tzanina and Zamazal, Ondrej and Hertling, Sven and Röder, Michael and Fundulaki, Irini and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed and Annane, Amina and Bellahsene, Zohra and et al.}, year={2018} }","mla":"Jiménez-Ruiz, Ernesto, et al. “Introducing the HOBBIT Platform into the Ontology Alignment Evaluation Campaign.” <i>Proceedings of the Ontology Matching Workshop 2018</i>, 2018.","short":"E. Jiménez-Ruiz, T. Saveta, O. Zamazal, S. Hertling, M. Röder, I. Fundulaki, A.-C. Ngonga Ngomo, M. Sherif, A. Annane, Z. Bellahsene, S.B. Yahia, G. Diallo, D. Faria, M. Kachroudi, A. Khiat, P. Lambrix, H. Li, M. Mackeprang, M. Mohammadi, M. Rybinski, B.S. Balasubramani, C. Trojahn, in: Proceedings of the Ontology Matching Workshop 2018, 2018."},"status":"public"},{"date_updated":"2024-11-19T11:31:51Z","publisher":"Springer Fachmedien Wiesbaden","author":[{"first_name":"Bianca","last_name":"Meise","full_name":"Meise, Bianca"},{"full_name":"Schloots, Franziska Margarete","id":"33185","last_name":"Schloots","first_name":"Franziska Margarete"},{"first_name":"Jörg","full_name":"Müller-Lietzkow, Jörg","last_name":"Müller-Lietzkow"},{"first_name":"Dorothee M.","last_name":"Meister","full_name":"Meister, Dorothee M."}],"date_created":"2024-11-19T11:30:16Z","title":"Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten","doi":"10.1007/978-3-658-20265-1_18","publication_identifier":{"isbn":["9783658202644","9783658202651"]},"publication_status":"published","place":"Wiesbaden","year":"2017","citation":{"ama":"Meise B, Schloots FM, Müller-Lietzkow J, Meister DM. Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten. In: <i>Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung</i>. Springer Fachmedien Wiesbaden; 2017. doi:<a href=\"https://doi.org/10.1007/978-3-658-20265-1_18\">10.1007/978-3-658-20265-1_18</a>","ieee":"B. Meise, F. M. Schloots, J. Müller-Lietzkow, and D. M. Meister, “Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten,” in <i>Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung</i>, Wiesbaden: Springer Fachmedien Wiesbaden, 2017.","chicago":"Meise, Bianca, Franziska Margarete Schloots, Jörg Müller-Lietzkow, and Dorothee M. Meister. “Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten.” In <i>Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung</i>. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. <a href=\"https://doi.org/10.1007/978-3-658-20265-1_18\">https://doi.org/10.1007/978-3-658-20265-1_18</a>.","apa":"Meise, B., Schloots, F. M., Müller-Lietzkow, J., &#38; Meister, D. M. (2017). Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten. In <i>Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung</i>. Springer Fachmedien Wiesbaden. <a href=\"https://doi.org/10.1007/978-3-658-20265-1_18\">https://doi.org/10.1007/978-3-658-20265-1_18</a>","short":"B. Meise, F.M. Schloots, J. Müller-Lietzkow, D.M. Meister, in: Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung, Springer Fachmedien Wiesbaden, Wiesbaden, 2017.","bibtex":"@inbook{Meise_Schloots_Müller-Lietzkow_Meister_2017, place={Wiesbaden}, title={Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-20265-1_18\">10.1007/978-3-658-20265-1_18</a>}, booktitle={Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung}, publisher={Springer Fachmedien Wiesbaden}, author={Meise, Bianca and Schloots, Franziska Margarete and Müller-Lietzkow, Jörg and Meister, Dorothee M.}, year={2017} }","mla":"Meise, Bianca, et al. “Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten.” <i>Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung</i>, Springer Fachmedien Wiesbaden, 2017, doi:<a href=\"https://doi.org/10.1007/978-3-658-20265-1_18\">10.1007/978-3-658-20265-1_18</a>."},"_id":"57234","department":[{"_id":"574"}],"user_id":"33185","language":[{"iso":"ger"}],"publication":"Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung","type":"book_chapter","status":"public"}]