[{"year":"2020","citation":{"chicago":"Zhang, Xinyue, Meng Wang, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, and Haofen Wang. “Revealing Secrets in SPARQL Session Level.” <i>CoRR</i> abs/2009.06625 (2020).","ieee":"X. Zhang, M. Wang, M. Saleem, A.-C. Ngonga Ngomo, G. Qi, and H. Wang, “Revealing Secrets in SPARQL Session Level,” <i>CoRR</i>, vol. abs/2009.06625, 2020.","ama":"Zhang X, Wang M, Saleem M, Ngonga Ngomo A-C, Qi G, Wang H. Revealing Secrets in SPARQL Session Level. <i>CoRR</i>. 2020;abs/2009.06625.","apa":"Zhang, X., Wang, M., Saleem, M., Ngonga Ngomo, A.-C., Qi, G., &#38; Wang, H. (2020). Revealing Secrets in SPARQL Session Level. <i>CoRR</i>, <i>abs/2009.06625</i>.","mla":"Zhang, Xinyue, et al. “Revealing Secrets in SPARQL Session Level.” <i>CoRR</i>, vol. abs/2009.06625, 2020.","bibtex":"@article{Zhang_Wang_Saleem_Ngonga Ngomo_Qi_Wang_2020, title={Revealing Secrets in SPARQL Session Level}, volume={abs/2009.06625}, journal={CoRR}, author={Zhang, Xinyue and Wang, Meng and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille and Qi, Guilin and Wang, Haofen}, year={2020} }","short":"X. Zhang, M. Wang, M. Saleem, A.-C. Ngonga Ngomo, G. Qi, H. Wang, CoRR abs/2009.06625 (2020)."},"date_updated":"2022-01-06T06:57:01Z","volume":"abs/2009.06625","date_created":"2021-10-04T20:58:57Z","author":[{"full_name":"Zhang, Xinyue","last_name":"Zhang","first_name":"Xinyue"},{"first_name":"Meng","last_name":"Wang","full_name":"Wang, Meng"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"first_name":"Guilin","last_name":"Qi","full_name":"Qi, Guilin"},{"full_name":"Wang, Haofen","last_name":"Wang","first_name":"Haofen"}],"title":"Revealing Secrets in SPARQL Session Level","publication":"CoRR","type":"journal_article","status":"public","_id":"25357","user_id":"15526","language":[{"iso":"eng"}]},{"citation":{"bibtex":"@article{Moussallem_Gnaneshwar_Castro Ferreira_Ngonga Ngomo_2020, title={NABU - Multilingual Graph-based Neural RDF Verbalizer}, volume={abs/2009.07728}, journal={CoRR}, author={Moussallem, Diego and Gnaneshwar, Dwaraknath and Castro Ferreira, Thiago and Ngonga Ngomo, Axel-Cyrille}, year={2020} }","mla":"Moussallem, Diego, et al. “NABU - Multilingual Graph-Based Neural RDF Verbalizer.” <i>CoRR</i>, vol. abs/2009.07728, 2020.","short":"D. Moussallem, D. Gnaneshwar, T. Castro Ferreira, A.-C. Ngonga Ngomo, CoRR abs/2009.07728 (2020).","apa":"Moussallem, D., Gnaneshwar, D., Castro Ferreira, T., &#38; Ngonga Ngomo, A.-C. (2020). NABU - Multilingual Graph-based Neural RDF Verbalizer. <i>CoRR</i>, <i>abs/2009.07728</i>.","chicago":"Moussallem, Diego, Dwaraknath Gnaneshwar, Thiago Castro Ferreira, and Axel-Cyrille Ngonga Ngomo. “NABU - Multilingual Graph-Based Neural RDF Verbalizer.” <i>CoRR</i> abs/2009.07728 (2020).","ieee":"D. Moussallem, D. Gnaneshwar, T. Castro Ferreira, and A.-C. Ngonga Ngomo, “NABU - Multilingual Graph-based Neural RDF Verbalizer,” <i>CoRR</i>, vol. abs/2009.07728, 2020.","ama":"Moussallem D, Gnaneshwar D, Castro Ferreira T, Ngonga Ngomo A-C. NABU - Multilingual Graph-based Neural RDF Verbalizer. <i>CoRR</i>. 2020;abs/2009.07728."},"year":"2020","title":"NABU - Multilingual Graph-based Neural RDF Verbalizer","author":[{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego"},{"full_name":"Gnaneshwar, Dwaraknath","last_name":"Gnaneshwar","first_name":"Dwaraknath"},{"last_name":"Castro Ferreira","full_name":"Castro Ferreira, Thiago","first_name":"Thiago"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2021-10-04T21:00:55Z","volume":"abs/2009.07728","date_updated":"2022-01-06T06:57:01Z","status":"public","type":"journal_article","publication":"CoRR","language":[{"iso":"eng"}],"user_id":"15526","_id":"25358"},{"year":"2020","citation":{"apa":"Ali, W., Saleem, M., Yao, B., Hogan, A., &#38; Ngonga Ngomo, A.-C. (2020). Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey. <i>CoRR</i>, <i>abs/2009.10331</i>.","bibtex":"@article{Ali_Saleem_Yao_Hogan_Ngonga Ngomo_2020, title={Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey}, volume={abs/2009.10331}, journal={CoRR}, author={Ali, Waqas and Saleem, Muhammad and Yao, Bin and Hogan, Aidan and Ngonga Ngomo, Axel-Cyrille}, year={2020} }","mla":"Ali, Waqas, et al. “Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey.” <i>CoRR</i>, vol. abs/2009.10331, 2020.","short":"W. Ali, M. Saleem, B. Yao, A. Hogan, A.-C. Ngonga Ngomo, CoRR abs/2009.10331 (2020).","ama":"Ali W, Saleem M, Yao B, Hogan A, Ngonga Ngomo A-C. Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey. <i>CoRR</i>. 2020;abs/2009.10331.","ieee":"W. Ali, M. Saleem, B. Yao, A. Hogan, and A.-C. Ngonga Ngomo, “Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey,” <i>CoRR</i>, vol. abs/2009.10331, 2020.","chicago":"Ali, Waqas, Muhammad Saleem, Bin Yao, Aidan Hogan, and Axel-Cyrille Ngonga Ngomo. “Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey.” <i>CoRR</i> abs/2009.10331 (2020)."},"title":"Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey","date_updated":"2022-01-06T06:57:01Z","volume":"abs/2009.10331","date_created":"2021-10-04T21:01:53Z","author":[{"first_name":"Waqas","full_name":"Ali, Waqas","last_name":"Ali"},{"last_name":"Saleem","full_name":"Saleem, Muhammad","first_name":"Muhammad"},{"last_name":"Yao","full_name":"Yao, Bin","first_name":"Bin"},{"last_name":"Hogan","full_name":"Hogan, Aidan","first_name":"Aidan"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"status":"public","publication":"CoRR","type":"journal_article","language":[{"iso":"eng"}],"_id":"25359","user_id":"15526"},{"citation":{"apa":"Mihindukulasooriya, N., Dubey, M., Gliozzo, A., Lehmann, J., Ngonga Ngomo, A.-C., &#38; Usbeck, R. (2020). SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge. <i>CoRR</i>, <i>abs/2012.00555</i>.","mla":"Mihindukulasooriya, Nandana, et al. “SeMantic AnsweR Type Prediction Task (SMART) at ISWC 2020 Semantic Web Challenge.” <i>CoRR</i>, vol. abs/2012.00555, 2020.","bibtex":"@article{Mihindukulasooriya_Dubey_Gliozzo_Lehmann_Ngonga Ngomo_Usbeck_2020, title={SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge}, volume={abs/2012.00555}, journal={CoRR}, author={Mihindukulasooriya, Nandana and Dubey, Mohnish and Gliozzo, Alfio and Lehmann, Jens and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, year={2020} }","short":"N. Mihindukulasooriya, M. Dubey, A. Gliozzo, J. Lehmann, A.-C. Ngonga Ngomo, R. Usbeck, CoRR abs/2012.00555 (2020).","ieee":"N. Mihindukulasooriya, M. Dubey, A. Gliozzo, J. Lehmann, A.-C. Ngonga Ngomo, and R. Usbeck, “SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge,” <i>CoRR</i>, vol. abs/2012.00555, 2020.","chicago":"Mihindukulasooriya, Nandana, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, and Ricardo Usbeck. “SeMantic AnsweR Type Prediction Task (SMART) at ISWC 2020 Semantic Web Challenge.” <i>CoRR</i> abs/2012.00555 (2020).","ama":"Mihindukulasooriya N, Dubey M, Gliozzo A, Lehmann J, Ngonga Ngomo A-C, Usbeck R. SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge. <i>CoRR</i>. 2020;abs/2012.00555."},"year":"2020","date_created":"2021-10-04T21:03:01Z","author":[{"first_name":"Nandana","last_name":"Mihindukulasooriya","full_name":"Mihindukulasooriya, Nandana"},{"first_name":"Mohnish","full_name":"Dubey, Mohnish","last_name":"Dubey"},{"full_name":"Gliozzo, Alfio","last_name":"Gliozzo","first_name":"Alfio"},{"last_name":"Lehmann","full_name":"Lehmann, Jens","first_name":"Jens"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"},{"first_name":"Ricardo","last_name":"Usbeck","full_name":"Usbeck, Ricardo"}],"volume":"abs/2012.00555","date_updated":"2022-01-06T06:57:01Z","title":"SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge","type":"journal_article","publication":"CoRR","status":"public","user_id":"15526","_id":"25360","language":[{"iso":"eng"}]},{"oa":"1","date_updated":"2022-10-15T19:57:01Z","date_created":"2020-10-20T13:11:14Z","author":[{"first_name":"Stefan","full_name":"Heindorf, Stefan","id":"11871","last_name":"Heindorf","orcid":"0000-0002-4525-6865"},{"last_name":"Scholten","full_name":"Scholten, Yan","first_name":"Yan"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"first_name":"Martin","full_name":"Potthast, Martin","last_name":"Potthast"}],"title":"CauseNet: Towards a Causality Graph Extracted from the Web","doi":"10.1145/3340531.3412763","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2020/CIKM-20/heindorf_2020a_public.pdf"}],"year":"2020","page":"3023-3030","citation":{"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>.","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>","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.","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} }","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>"},"_id":"20141","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"574"}],"user_id":"11871","language":[{"iso":"eng"}],"publication":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)","type":"conference","status":"public"},{"title":"Benchmarking the Lifecycle of Knowledge Graphs","doi":"10.3233/SSW200012","date_updated":"2023-08-16T09:32:51Z","publisher":"IOS Press","date_created":"2021-12-17T10:06:12Z","author":[{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"first_name":"Mohamed","id":"67234","full_name":"Sherif, Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"first_name":"Felix","last_name":"Conrads","full_name":"Conrads, Felix"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"year":"2020","citation":{"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>","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>.","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.","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} }","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>","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."},"page":"73-97","keyword":["dice group_aksw roeder sherif saleem fconrads ngonga"],"language":[{"iso":"eng"}],"_id":"29042","user_id":"67234","department":[{"_id":"574"}],"editor":[{"first_name":"Ilaria","full_name":"Tiddi, Ilaria","last_name":"Tiddi"},{"last_name":"Lécué","full_name":"Lécué, Freddy","first_name":"Freddy"},{"first_name":"Pascal","last_name":"Hitzler","full_name":"Hitzler, Pascal"}],"status":"public","type":"book_chapter","publication":"Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges"},{"abstract":[{"lang":"eng","text":"With the growth in number and variety of RDF datasets comes an in- creasing need for both scalable and accurate solutions to support link discovery at instance level within and across these datasets. In contrast to ontology matching, most linking frameworks rely solely on string similarities to this end. The limited use of semantic similarities when linking instances is partly due to the current literature stating that they (1) do not improve the F-measure of instance linking approaches and (2) are impractical to use because they lack time efficiency. We revisit the combination of string and semantic similarities for linking instances. Contrary to the literature, our results suggest that this combination can improve the F-measure achieved by instance linking systems when the combination of the measures is performed by a machine learning approach. To achieve this in- sight, we had to address the scalability of semantic similarities. We hence present a framework for the rapid computation of semantic similarities based on edge counting. This runtime improvement allowed us to run an evaluation of 5 bench- mark datasets. Our results suggest that combining string and semantic similarities can improve the F-measure by up to 6% absolute."}],"status":"public","type":"conference","publication":"Proceedings of Ontology Matching Workshop 2020","keyword":["2020 dice simba sherif hecate ngonga knowgraphs sys:relevantFor:limboproject limboproject sys:relevantFor:infai sys:relevantFor:bis limes limbo opal roeder georgala"],"language":[{"iso":"eng"}],"_id":"29009","user_id":"67234","year":"2020","citation":{"ama":"Georgala K, Röder M, Sherif M, Ngonga Ngomo A-C. Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy. In: <i>Proceedings of Ontology Matching Workshop 2020</i>. ; 2020.","chicago":"Georgala, Kleanthi, Michael Röder, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “Applying Edge-Counting Semantic Similarities to Link Discovery: Scalability and Accuracy.” In <i>Proceedings of Ontology Matching Workshop 2020</i>, 2020.","ieee":"K. Georgala, M. Röder, M. Sherif, and A.-C. Ngonga Ngomo, “Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy,” 2020.","mla":"Georgala, Kleanthi, et al. “Applying Edge-Counting Semantic Similarities to Link Discovery: Scalability and Accuracy.” <i>Proceedings of Ontology Matching Workshop 2020</i>, 2020.","bibtex":"@inproceedings{Georgala_Röder_Sherif_Ngonga Ngomo_2020, title={Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy}, booktitle={Proceedings of Ontology Matching Workshop 2020}, author={Georgala, Kleanthi and Röder, Michael and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2020} }","short":"K. Georgala, M. Röder, M. Sherif, A.-C. Ngonga Ngomo, in: Proceedings of Ontology Matching Workshop 2020, 2020.","apa":"Georgala, K., Röder, M., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2020). Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy. <i>Proceedings of Ontology Matching Workshop 2020</i>."},"title":"Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy","date_updated":"2023-08-16T09:34:31Z","author":[{"full_name":"Georgala, Kleanthi","last_name":"Georgala","first_name":"Kleanthi"},{"full_name":"Röder, Michael","last_name":"Röder","first_name":"Michael"},{"first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","id":"67234","full_name":"Sherif, Mohamed"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2021-12-17T09:53:49Z"},{"year":"2020","citation":{"short":"M. Sherif, K. Dreßler}, A.-C. Ngonga Ngomo, in: Proceedings of Ontology Matching Workshop 2020, 2020.","bibtex":"@inproceedings{Sherif_Dreßler}_Ngonga Ngomo_2020, title={LIGON – Link Discovery with Noisy Oracles}, booktitle={Proceedings of Ontology Matching Workshop 2020}, author={Sherif, Mohamed and Dreßler}, Kevin and Ngonga Ngomo, Axel-Cyrille}, year={2020} }","mla":"Sherif, Mohamed, et al. “LIGON – Link Discovery with Noisy Oracles.” <i>Proceedings of Ontology Matching Workshop 2020</i>, 2020.","apa":"Sherif, M., Dreßler}, K., &#38; Ngonga Ngomo, A.-C. (2020). LIGON – Link Discovery with Noisy Oracles. <i>Proceedings of Ontology Matching Workshop 2020</i>.","ama":"Sherif M, Dreßler} K, Ngonga Ngomo A-C. LIGON – Link Discovery with Noisy Oracles. In: <i>Proceedings of Ontology Matching Workshop 2020</i>. ; 2020.","chicago":"Sherif, Mohamed, Kevin Dreßler}, and Axel-Cyrille Ngonga Ngomo. “LIGON – Link Discovery with Noisy Oracles.” In <i>Proceedings of Ontology Matching Workshop 2020</i>, 2020.","ieee":"M. Sherif, K. Dreßler}, and A.-C. Ngonga Ngomo, “LIGON – Link Discovery with Noisy Oracles,” 2020."},"title":"LIGON – Link Discovery with Noisy Oracles","date_updated":"2023-08-16T09:34:11Z","author":[{"first_name":"Mohamed","full_name":"Sherif, Mohamed","id":"67234","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},{"first_name":"Kevin","full_name":"Dreßler}, Kevin","last_name":"Dreßler}"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2021-12-17T09:54:05Z","abstract":[{"text":"Link discovery plays a key role in the integration and use of data across RDF knowledge graphs. Active learning approaches are a common family of solutions to address the problem of learning how to compute links from users. So far, only active learning from perfect oracles has been considered in the literature. However, real oracles are often far from perfect (e.g., in crowdsourcing). We hence study the problem of learning how to compute links across knowledge graphs from noisy oracles, i.e., oracles that are not guaranteed to return correct classification results. We present a novel approach for link discovery based on a probabilistic model, with which we estimate the joint odds of the oracles’ guesses. We combine this approach with an iterative learning approach based on refinements. The resulting method, Ligon, is evaluated on 10 benchmark datasets. Our results suggest that Ligon configured with 10 iterations and 10 training examples per iteration achieves more than 95% of the F-measure achieved by state-of-the-art algorithms trained with a perfect oracle. Moreover, Ligon outperforms batch learning approaches devised to be trained with small amounts of training data by more than 40% F-measure on average.","lang":"eng"}],"status":"public","publication":"Proceedings of Ontology Matching Workshop 2020","type":"conference","keyword":["2020 dice simba sherif ligon ngonga knowgraphs sys:relevantFor:limboproject limboproject sys:relevantFor:infai sys:relevantFor:bis limes limbo opal kevin"],"language":[{"iso":"eng"}],"_id":"29010","user_id":"67234"},{"year":"2020","citation":{"ama":"Bigerl A, Conrads F, Behning C, Sherif M, Saleem M, Ngonga Ngomo A-C. Tentris – A Tensor-Based Triple Store. <i>The Semantic Web -- ISWC 2020</i>. Published online 2020.","chicago":"Bigerl, Alexander, Felix Conrads, Charlotte Behning, Mohamed Sherif, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Tentris – A Tensor-Based Triple Store.” <i>The Semantic Web -- ISWC 2020</i>, 2020.","ieee":"A. Bigerl, F. Conrads, C. Behning, M. Sherif, M. Saleem, and A.-C. Ngonga Ngomo, “Tentris – A Tensor-Based Triple Store,” <i>The Semantic Web -- ISWC 2020</i>, 2020.","short":"A. Bigerl, F. Conrads, C. Behning, M. Sherif, M. Saleem, A.-C. Ngonga Ngomo, The Semantic Web -- ISWC 2020 (2020).","bibtex":"@article{Bigerl_Conrads_Behning_Sherif_Saleem_Ngonga Ngomo_2020, title={Tentris – A Tensor-Based Triple Store}, journal={The Semantic Web -- ISWC 2020}, publisher={Springer International Publishing}, author={Bigerl, Alexander and Conrads, Felix and Behning, Charlotte and Sherif, Mohamed and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2020} }","mla":"Bigerl, Alexander, et al. “Tentris – A Tensor-Based Triple Store.” <i>The Semantic Web -- ISWC 2020</i>, Springer International Publishing, 2020.","apa":"Bigerl, A., Conrads, F., Behning, C., Sherif, M., Saleem, M., &#38; Ngonga Ngomo, A.-C. (2020). Tentris – A Tensor-Based Triple Store. <i>The Semantic Web -- ISWC 2020</i>."},"publisher":"Springer International Publishing","date_updated":"2023-08-16T10:06:33Z","author":[{"first_name":"Alexander","full_name":"Bigerl, Alexander","id":"72857","last_name":"Bigerl"},{"first_name":"Felix","full_name":"Conrads, Felix","last_name":"Conrads"},{"first_name":"Charlotte","last_name":"Behning","full_name":"Behning, Charlotte"},{"id":"67234","full_name":"Sherif, Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","first_name":"Mohamed"},{"last_name":"Saleem","full_name":"Saleem, Muhammad","first_name":"Muhammad"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_created":"2021-12-17T10:05:41Z","title":"Tentris – A Tensor-Based Triple Store","publication":"The Semantic Web -- ISWC 2020","type":"journal_article","status":"public","_id":"29039","user_id":"67234","keyword":["sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:simba sys:relevantFor:limbo sys:relevantFor:raki daikiri speaker tentris knowgraphs bigerl fconrads saleem sherif ngonga group_aksw dice"],"language":[{"iso":"eng"}]},{"type":"conference","publication":"Proceedings of Ontology Matching Workshop 2020","status":"public","abstract":[{"text":"Modern data-driven frameworks often have to process large amounts of data periodically. Hence, they often operate under time or space constraints. This also holds for Linked Data-driven frameworks when processing RDF data, in particular, when they perform link discovery tasks. In this work, we present a novel approach for link discovery under constraints pertaining to the expected recall of a link discovery task. Given a link specification, the approach aims to find a subsumed link specification that achieves a lower run time than the input specification while abiding by a predefined constraint on the expected recall it has to achieve. Our approach, dubbed LIGER, combines downward refinement oper- ators with monotonicity assumptions to detect such specifications. We evaluate our approach on seven datasets. Our results suggest that the different implemen- tations of LIGER can detect subsumed specifications that abide by expected recall constraints efficiently, thus leading to significantly shorter overall run times than our baseline.","lang":"eng"}],"user_id":"67234","_id":"29007","language":[{"iso":"eng"}],"keyword":["2020 dice simba sherif hecate ngonga knowgraphs sys:relevantFor:limboproject limboproject sys:relevantFor:infai sys:relevantFor:bis limes limbo opal georgala"],"citation":{"chicago":"Georgala, Kleanthi, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “LIGER – Link Discovery with Partial Recall.” In <i>Proceedings of Ontology Matching Workshop 2020</i>, 2020.","ieee":"K. Georgala, M. Sherif, and A.-C. Ngonga Ngomo, “LIGER – Link Discovery with Partial Recall,” 2020.","ama":"Georgala K, Sherif M, Ngonga Ngomo A-C. LIGER – Link Discovery with Partial Recall. In: <i>Proceedings of Ontology Matching Workshop 2020</i>. ; 2020.","bibtex":"@inproceedings{Georgala_Sherif_Ngonga Ngomo_2020, title={LIGER – Link Discovery with Partial Recall}, booktitle={Proceedings of Ontology Matching Workshop 2020}, author={Georgala, Kleanthi and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2020} }","short":"K. Georgala, M. Sherif, A.-C. Ngonga Ngomo, in: Proceedings of Ontology Matching Workshop 2020, 2020.","mla":"Georgala, Kleanthi, et al. “LIGER – Link Discovery with Partial Recall.” <i>Proceedings of Ontology Matching Workshop 2020</i>, 2020.","apa":"Georgala, K., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2020). LIGER – Link Discovery with Partial Recall. <i>Proceedings of Ontology Matching Workshop 2020</i>."},"year":"2020","author":[{"first_name":"Kleanthi","last_name":"Georgala","full_name":"Georgala, Kleanthi"},{"orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","full_name":"Sherif, Mohamed","id":"67234","first_name":"Mohamed"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2021-12-17T09:53:07Z","date_updated":"2023-08-16T10:27:11Z","title":"LIGER – Link Discovery with Partial Recall"},{"date_updated":"2024-12-03T11:36:17Z","publisher":"IOS Press","date_created":"2024-07-04T11:59:38Z","author":[{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635"},{"first_name":"René","full_name":"Speck, René","id":"70843","last_name":"Speck"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"title":"Generating explanations in natural language from knowledge graphs","year":"2020","page":"213–241","citation":{"ama":"Moussallem D, Speck R, Ngonga Ngomo A-C. 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Ngonga Ngomo, in: Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges, IOS Press, 2020, pp. 213–241."},"_id":"55066","user_id":"70843","language":[{"iso":"eng"}],"publication":"Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges","type":"book_chapter","status":"public"},{"intvolume":"         7","page":"101031-101045","citation":{"ama":"Mehmood Q, Saleem M, Sahay R, Ngonga Ngomo A-C, d’Aquin M. 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Ngonga Ngomo, M. d’Aquin, {IEEE} Access 7 (2019) 101031–101045."},"year":"2019","doi":"10.1109/ACCESS.2019.2930416","title":"QPPDs: Querying Property Paths Over Distributed RDF Datasets","volume":7,"author":[{"first_name":"Qaiser","last_name":"Mehmood","full_name":"Mehmood, Qaiser"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"first_name":"Ratnesh","full_name":"Sahay, Ratnesh","last_name":"Sahay"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"},{"first_name":"Mathieu","full_name":"d'Aquin, Mathieu","last_name":"d'Aquin"}],"date_created":"2021-10-04T21:05:55Z","date_updated":"2022-01-06T06:57:01Z","status":"public","publication":"{IEEE} Access","type":"journal_article","language":[{"iso":"eng"}],"user_id":"15526","_id":"25361"},{"language":[{"iso":"eng"}],"user_id":"15526","_id":"25362","status":"public","publication":"Semantic Web","type":"journal_article","doi":"10.3233/SW-180312","title":"Benchmarking question answering systems","volume":10,"date_created":"2021-10-04T21:07:11Z","author":[{"first_name":"Ricardo","last_name":"Usbeck","full_name":"Usbeck, Ricardo"},{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"first_name":"Michael","last_name":"Hoffmann","full_name":"Hoffmann, Michael"},{"last_name":"Conrads","full_name":"Conrads, Felix","first_name":"Felix"},{"first_name":"Jonathan","full_name":"Huthmann, Jonathan","last_name":"Huthmann"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"},{"full_name":"Demmler, Christian","last_name":"Demmler","first_name":"Christian"},{"first_name":"Christina","full_name":"Unger, Christina","last_name":"Unger"}],"date_updated":"2022-01-06T06:57:01Z","page":"293-304","intvolume":"        10","citation":{"ieee":"R. Usbeck <i>et al.</i>, “Benchmarking question answering systems,” <i>Semantic Web</i>, vol. 10, no. 2, pp. 293–304, 2019, doi: <a href=\"https://doi.org/10.3233/SW-180312\">10.3233/SW-180312</a>.","chicago":"Usbeck, Ricardo, Michael Röder, Michael Hoffmann, Felix Conrads, Jonathan Huthmann, Axel-Cyrille Ngonga Ngomo, Christian Demmler, and Christina Unger. “Benchmarking Question Answering Systems.” <i>Semantic Web</i> 10, no. 2 (2019): 293–304. <a href=\"https://doi.org/10.3233/SW-180312\">https://doi.org/10.3233/SW-180312</a>.","ama":"Usbeck R, Röder M, Hoffmann M, et al. Benchmarking question answering systems. <i>Semantic Web</i>. 2019;10(2):293-304. doi:<a href=\"https://doi.org/10.3233/SW-180312\">10.3233/SW-180312</a>","mla":"Usbeck, Ricardo, et al. “Benchmarking Question Answering Systems.” <i>Semantic Web</i>, vol. 10, no. 2, 2019, pp. 293–304, doi:<a href=\"https://doi.org/10.3233/SW-180312\">10.3233/SW-180312</a>.","bibtex":"@article{Usbeck_Röder_Hoffmann_Conrads_Huthmann_Ngonga Ngomo_Demmler_Unger_2019, title={Benchmarking question answering systems}, volume={10}, DOI={<a href=\"https://doi.org/10.3233/SW-180312\">10.3233/SW-180312</a>}, number={2}, journal={Semantic Web}, author={Usbeck, Ricardo and Röder, Michael and Hoffmann, Michael and Conrads, Felix and Huthmann, Jonathan and Ngonga Ngomo, Axel-Cyrille and Demmler, Christian and Unger, Christina}, year={2019}, pages={293–304} }","short":"R. Usbeck, M. Röder, M. Hoffmann, F. Conrads, J. Huthmann, A.-C. Ngonga Ngomo, C. Demmler, C. Unger, Semantic Web 10 (2019) 293–304.","apa":"Usbeck, R., Röder, M., Hoffmann, M., Conrads, F., Huthmann, J., Ngonga Ngomo, A.-C., Demmler, C., &#38; Unger, C. (2019). Benchmarking question answering systems. <i>Semantic Web</i>, <i>10</i>(2), 293–304. <a href=\"https://doi.org/10.3233/SW-180312\">https://doi.org/10.3233/SW-180312</a>"},"year":"2019","issue":"2"},{"intvolume":"        54","page":"72-86","citation":{"ieee":"A. Rula <i>et al.</i>, “TISCO: Temporal scoping of facts,” <i>J. Web Semant.</i>, vol. 54, pp. 72–86, 2019, doi: <a href=\"https://doi.org/10.1016/j.websem.2018.09.002\">10.1016/j.websem.2018.09.002</a>.","chicago":"Rula, Anisa, Matteo Palmonari, Simone Rubinacci, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Andrea Maurino, and Diego Esteves. “TISCO: Temporal Scoping of Facts.” <i>J. 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Web Semant. 54 (2019) 72–86.","mla":"Rula, Anisa, et al. “TISCO: Temporal Scoping of Facts.” <i>J. Web Semant.</i>, vol. 54, 2019, pp. 72–86, doi:<a href=\"https://doi.org/10.1016/j.websem.2018.09.002\">10.1016/j.websem.2018.09.002</a>.","apa":"Rula, A., Palmonari, M., Rubinacci, S., Ngonga Ngomo, A.-C., Lehmann, J., Maurino, A., &#38; Esteves, D. (2019). TISCO: Temporal scoping of facts. <i>J. 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Web Semant.","type":"journal_article","status":"public","user_id":"15526","_id":"25363","language":[{"iso":"eng"}]},{"user_id":"15526","_id":"25364","language":[{"iso":"eng"}],"publication":"J. Web Semant.","type":"journal_article","status":"public","volume":55,"date_created":"2021-10-04T21:09:06Z","author":[{"first_name":"René","last_name":"Speck","full_name":"Speck, René"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_updated":"2022-01-06T06:57:01Z","doi":"10.1016/j.websem.2018.12.006","title":"Leopard - A baseline approach to attribute prediction and validation for knowledge graph population","page":"102-107","intvolume":"        55","citation":{"ama":"Speck R, Ngonga Ngomo A-C. Leopard - A baseline approach to attribute prediction and validation for knowledge graph population. <i>J Web Semant</i>. 2019;55:102-107. doi:<a href=\"https://doi.org/10.1016/j.websem.2018.12.006\">10.1016/j.websem.2018.12.006</a>","chicago":"Speck, René, and Axel-Cyrille Ngonga Ngomo. “Leopard - A Baseline Approach to Attribute Prediction and Validation for Knowledge Graph Population.” <i>J. Web Semant.</i> 55 (2019): 102–7. <a href=\"https://doi.org/10.1016/j.websem.2018.12.006\">https://doi.org/10.1016/j.websem.2018.12.006</a>.","ieee":"R. Speck and A.-C. Ngonga Ngomo, “Leopard - A baseline approach to attribute prediction and validation for knowledge graph population,” <i>J. Web Semant.</i>, vol. 55, pp. 102–107, 2019, doi: <a href=\"https://doi.org/10.1016/j.websem.2018.12.006\">10.1016/j.websem.2018.12.006</a>.","mla":"Speck, René, and Axel-Cyrille Ngonga Ngomo. “Leopard - A Baseline Approach to Attribute Prediction and Validation for Knowledge Graph Population.” <i>J. Web Semant.</i>, vol. 55, 2019, pp. 102–07, doi:<a href=\"https://doi.org/10.1016/j.websem.2018.12.006\">10.1016/j.websem.2018.12.006</a>.","bibtex":"@article{Speck_Ngonga Ngomo_2019, title={Leopard - A baseline approach to attribute prediction and validation for knowledge graph population}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.websem.2018.12.006\">10.1016/j.websem.2018.12.006</a>}, journal={J. Web Semant.}, author={Speck, René and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={102–107} }","short":"R. Speck, A.-C. Ngonga Ngomo, J. Web Semant. 55 (2019) 102–107.","apa":"Speck, R., &#38; Ngonga Ngomo, A.-C. (2019). Leopard - A baseline approach to attribute prediction and validation for knowledge graph population. <i>J. Web Semant.</i>, <i>55</i>, 102–107. <a href=\"https://doi.org/10.1016/j.websem.2018.12.006\">https://doi.org/10.1016/j.websem.2018.12.006</a>"},"year":"2019"},{"page":"19-33","intvolume":"     11970","citation":{"bibtex":"@inproceedings{Jalota_Trivedi_Maheshwari_Ngonga Ngomo_Usbeck_2019, series={Lecture Notes in Computer Science}, title={An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots - The DBpedia Chatbot}, volume={11970}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-39540-7\\_2\">10.1007/978-3-030-39540-7\\_2</a>}, booktitle={Chatbot Research and Design - Third International Workshop, {CONVERSATIONS} 2019, Amsterdam, The Netherlands, November 19-20, 2019, Revised Selected Papers}, publisher={Springer}, author={Jalota, Rricha and Trivedi, Priyansh and Maheshwari, Gaurav and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, editor={Følstad, Asbjørn and B. Araujo, Theo and Papadopoulos, Symeon and Lai-Chong Law, Effie and Granmo, Ole-Christoffer and Luger, Ewa and Bae Brandtzæg, Petter}, year={2019}, pages={19–33}, collection={Lecture Notes in Computer Science} }","short":"R. Jalota, P. Trivedi, G. Maheshwari, A.-C. Ngonga Ngomo, R. Usbeck, in: A. Følstad, T. B. Araujo, S. Papadopoulos, E. Lai-Chong Law, O.-C. Granmo, E. Luger, P. 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