[{"citation":{"ieee":"S. Heindorf <i>et al.</i>, “EvoLearner: Learning Description Logics with Evolutionary Algorithms,” in <i>WWW</i>, 2022, pp. 818–828, doi: <a href=\"https://doi.org/10.1145/3485447.3511925\">10.1145/3485447.3511925</a>.","apa":"Heindorf, S., Blübaum, L., Düsterhus, N., Werner, T., Golani, V. N., Demir, C., &#38; Ngonga Ngomo, A.-C. (2022). EvoLearner: Learning Description Logics with Evolutionary Algorithms. <i>WWW</i>, 818–828. <a href=\"https://doi.org/10.1145/3485447.3511925\">https://doi.org/10.1145/3485447.3511925</a>","chicago":"Heindorf, Stefan, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “EvoLearner: Learning Description Logics with Evolutionary Algorithms.” In <i>WWW</i>, 818–28. ACM, 2022. <a href=\"https://doi.org/10.1145/3485447.3511925\">https://doi.org/10.1145/3485447.3511925</a>.","short":"S. Heindorf, L. Blübaum, N. Düsterhus, T. Werner, V.N. Golani, C. Demir, A.-C. Ngonga Ngomo, in: WWW, ACM, 2022, pp. 818–828.","mla":"Heindorf, Stefan, et al. “EvoLearner: Learning Description Logics with Evolutionary Algorithms.” <i>WWW</i>, ACM, 2022, pp. 818–28, doi:<a href=\"https://doi.org/10.1145/3485447.3511925\">10.1145/3485447.3511925</a>.","bibtex":"@inproceedings{Heindorf_Blübaum_Düsterhus_Werner_Golani_Demir_Ngonga Ngomo_2022, title={EvoLearner: Learning Description Logics with Evolutionary Algorithms}, DOI={<a href=\"https://doi.org/10.1145/3485447.3511925\">10.1145/3485447.3511925</a>}, booktitle={WWW}, publisher={ACM}, author={Heindorf, Stefan and Blübaum, Lukas and Düsterhus, Nick and Werner, Till and Golani, Varun Nandkumar and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2022}, pages={818–828} }","ama":"Heindorf S, Blübaum L, Düsterhus N, et al. EvoLearner: Learning Description Logics with Evolutionary Algorithms. In: <i>WWW</i>. ACM; 2022:818-828. doi:<a href=\"https://doi.org/10.1145/3485447.3511925\">10.1145/3485447.3511925</a>"},"publication":"WWW","abstract":[{"text":"Classifying nodes in knowledge graphs is an important task, e.g., predicting\r\nmissing types of entities, predicting which molecules cause cancer, or\r\npredicting which drugs are promising treatment candidates. While black-box\r\nmodels often achieve high predictive performance, they are only post-hoc and\r\nlocally explainable and do not allow the learned model to be easily enriched\r\nwith domain knowledge. Towards this end, learning description logic concepts\r\nfrom positive and negative examples has been proposed. However, learning such\r\nconcepts often takes a long time and state-of-the-art approaches provide\r\nlimited support for literal data values, although they are crucial for many\r\napplications. In this paper, we propose EvoLearner - an evolutionary approach\r\nto learn ALCQ(D), which is the attributive language with complement (ALC)\r\npaired with qualified cardinality restrictions (Q) and data properties (D). We\r\ncontribute a novel initialization method for the initial population: starting\r\nfrom positive examples (nodes in the knowledge graph), we perform biased random\r\nwalks and translate them to description logic concepts. Moreover, we improve\r\nsupport for data properties by maximizing information gain when deciding where\r\nto split the data. We show that our approach significantly outperforms the\r\nstate of the art on the benchmarking framework SML-Bench for structured machine\r\nlearning. Our ablation study confirms that this is due to our novel\r\ninitialization method and support for data properties.","lang":"eng"}],"date_created":"2022-01-12T10:22:53Z","oa":"1","department":[{"_id":"574"}],"type":"conference","author":[{"id":"11871","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf"},{"first_name":"Lukas","last_name":"Blübaum","full_name":"Blübaum, Lukas"},{"full_name":"Düsterhus, Nick","first_name":"Nick","last_name":"Düsterhus"},{"full_name":"Werner, Till","first_name":"Till","last_name":"Werner"},{"full_name":"Golani, Varun Nandkumar","last_name":"Golani","first_name":"Varun Nandkumar"},{"id":"43817","first_name":"Caglar","last_name":"Demir","full_name":"Demir, Caglar"},{"id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"status":"public","year":"2022","title":"EvoLearner: Learning Description Logics with Evolutionary Algorithms","date_updated":"2024-05-26T19:13:09Z","_id":"29290","language":[{"iso":"eng"}],"publisher":"ACM","page":"818-828","main_file_link":[{"url":"https://arxiv.org/abs/2111.04879","open_access":"1"}],"doi":"10.1145/3485447.3511925","user_id":"11871"},{"date_created":"2022-02-15T16:59:29Z","oa":"1","department":[{"_id":"574"}],"type":"journal_article","citation":{"ieee":"S. Pestryakova <i>et al.</i>, “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications,” <i>Scientific Data</i>, 2022, doi: <a href=\"https://doi.org/10.1038/s41597-022-01298-2\">10.1038/s41597-022-01298-2</a>.","apa":"Pestryakova, S., Vollmers, D., Sherif, M., Heindorf, S., Saleem, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2022). CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. <i>Scientific Data</i>. <a href=\"https://doi.org/10.1038/s41597-022-01298-2\">https://doi.org/10.1038/s41597-022-01298-2</a>","chicago":"Pestryakova, Svetlana , Daniel Vollmers, Mohamed Sherif, Stefan Heindorf, Muhammad  Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications.” <i>Scientific Data</i>, 2022. <a href=\"https://doi.org/10.1038/s41597-022-01298-2\">https://doi.org/10.1038/s41597-022-01298-2</a>.","short":"S. Pestryakova, D. Vollmers, M. Sherif, S. Heindorf, M. Saleem, D. Moussallem, A.-C. Ngonga Ngomo, Scientific Data (2022).","mla":"Pestryakova, Svetlana, et al. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications.” <i>Scientific Data</i>, 2022, doi:<a href=\"https://doi.org/10.1038/s41597-022-01298-2\">10.1038/s41597-022-01298-2</a>.","bibtex":"@article{Pestryakova_Vollmers_Sherif_Heindorf_Saleem_Moussallem_Ngonga Ngomo_2022, title={CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications}, DOI={<a href=\"https://doi.org/10.1038/s41597-022-01298-2\">10.1038/s41597-022-01298-2</a>}, journal={Scientific Data}, author={Pestryakova, Svetlana  and Vollmers, Daniel and Sherif, Mohamed and Heindorf, Stefan and Saleem, Muhammad  and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2022} }","ama":"Pestryakova S, Vollmers D, Sherif M, et al. CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. <i>Scientific Data</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1038/s41597-022-01298-2\">10.1038/s41597-022-01298-2</a>"},"publication":"Scientific Data","_id":"29851","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2022/NSDJ_CovidPubGraph/public.pdf"}],"doi":"10.1038/s41597-022-01298-2","user_id":"11871","author":[{"full_name":"Pestryakova, Svetlana ","last_name":"Pestryakova","first_name":"Svetlana "},{"first_name":"Daniel","last_name":"Vollmers","full_name":"Vollmers, Daniel"},{"full_name":"Sherif, Mohamed","first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","id":"67234"},{"id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","first_name":"Stefan"},{"last_name":"Saleem","first_name":"Muhammad ","full_name":"Saleem, Muhammad "},{"full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego","id":"71635"},{"id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"status":"public","year":"2022","title":"CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications","date_updated":"2024-05-26T19:14:21Z"},{"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2022/HAI_SmartHome/User_Involvement_in_Training_Smart_Home_Agents_public.pdf"}],"language":[{"iso":"eng"}],"doi":"10.1145/3527188.3561914","alternative_title":["Increasing Perceived Control and Understanding"],"title":"User Involvement in Training Smart Home Agents","year":"2022","author":[{"id":"93402","first_name":"Leonie Nora","last_name":"Sieger","full_name":"Sieger, Leonie Nora"},{"full_name":"Hermann, Julia","last_name":"Hermann","first_name":"Julia"},{"last_name":"Schomäcker","first_name":"Astrid","full_name":"Schomäcker, Astrid"},{"id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","first_name":"Stefan"},{"first_name":"Christian","last_name":"Meske","full_name":"Meske, Christian"},{"full_name":"Hey, Celine-Chiara","first_name":"Celine-Chiara","last_name":"Hey"},{"full_name":"Doğangün, Ayşegül","last_name":"Doğangün","first_name":"Ayşegül"}],"publication_status":"published","date_updated":"2024-05-30T18:04:45Z","file":[{"date_created":"2024-05-30T18:04:31Z","creator":"heindorf","success":1,"content_type":"application/pdf","file_id":"54524","file_size":1151728,"access_level":"closed","file_name":"User_Involvement_in_Training_Smart_Home_Agents_public.pdf","date_updated":"2024-05-30T18:04:31Z","relation":"main_file"}],"date_created":"2022-12-21T09:48:43Z","type":"conference","keyword":["human-agent interaction","smart homes","supervised learning","participation"],"department":[{"_id":"574"},{"_id":"760"}],"publication":"International Conference on Human-Agent Interaction","abstract":[{"text":"Smart home systems contain plenty of features that enhance wellbeing in everyday life through artificial intelligence (AI). However, many users feel insecure because they do not understand the AI’s functionality and do not feel they are in control of it. Combining technical, psychological and philosophical views on AI, we rethink smart homes as interactive systems where users can partake in an intelligent agent’s learning. Parallel to the goals of explainable AI (XAI), we explored the possibility of user involvement in supervised learning of the smart home to have a first approach to improve acceptance, support subjective understanding and increase perceived control. In this work, we conducted two studies: In an online pre-study, we asked participants about their attitude towards teaching AI via a questionnaire. In the main study, we performed a Wizard of Oz laboratory experiment with human participants, where participants spent time in a prototypical smart home and taught activity recognition to the intelligent agent through supervised learning based on the user’s behaviour. We found that involvement in the AI’s learning phase enhanced the users’ feeling of control, perceived understanding and perceived usefulness of AI in general. The participants reported positive attitudes towards training a smart home AI and found the process understandable and controllable. We suggest that involving the user in the learning phase could lead to better personalisation and increased understanding and control by users of intelligent agents for smart home automation.","lang":"eng"}],"_id":"34674","publisher":"ACM","user_id":"11871","ddc":["000"],"status":"public","conference":{"end_date":"2022-12-08","location":"Christchurch, New Zealand","start_date":"2022-12-05","name":"HAI '22: International Conference on Human-Agent Interaction"},"has_accepted_license":"1","oa":"1","file_date_updated":"2024-05-30T18:04:31Z","citation":{"ieee":"L. N. Sieger <i>et al.</i>, “User Involvement in Training Smart Home Agents,” presented at the HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand, 2022, doi: <a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>.","apa":"Sieger, L. N., Hermann, J., Schomäcker, A., Heindorf, S., Meske, C., Hey, C.-C., &#38; Doğangün, A. (2022). User Involvement in Training Smart Home Agents. <i>International Conference on Human-Agent Interaction</i>. HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand. <a href=\"https://doi.org/10.1145/3527188.3561914\">https://doi.org/10.1145/3527188.3561914</a>","short":"L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Doğangün, in: International Conference on Human-Agent Interaction, ACM, 2022.","chicago":"Sieger, Leonie Nora, Julia Hermann, Astrid Schomäcker, Stefan Heindorf, Christian Meske, Celine-Chiara Hey, and Ayşegül Doğangün. “User Involvement in Training Smart Home Agents.” In <i>International Conference on Human-Agent Interaction</i>. ACM, 2022. <a href=\"https://doi.org/10.1145/3527188.3561914\">https://doi.org/10.1145/3527188.3561914</a>.","mla":"Sieger, Leonie Nora, et al. “User Involvement in Training Smart Home Agents.” <i>International Conference on Human-Agent Interaction</i>, ACM, 2022, doi:<a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>.","bibtex":"@inproceedings{Sieger_Hermann_Schomäcker_Heindorf_Meske_Hey_Doğangün_2022, title={User Involvement in Training Smart Home Agents}, DOI={<a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>}, booktitle={International Conference on Human-Agent Interaction}, publisher={ACM}, author={Sieger, Leonie Nora and Hermann, Julia and Schomäcker, Astrid and Heindorf, Stefan and Meske, Christian and Hey, Celine-Chiara and Doğangün, Ayşegül}, year={2022} }","ama":"Sieger LN, Hermann J, Schomäcker A, et al. User Involvement in Training Smart Home Agents. In: <i>International Conference on Human-Agent Interaction</i>. ACM; 2022. doi:<a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>"},"quality_controlled":"1","project":[{"name":"TRR 318 - B1: TRR 318 - Subproject B1","_id":"121","grant_number":"438445824"}]},{"main_file_link":[{"url":"https://2022.eswc-conferences.org/wp-content/uploads/2022/05/pd_Zahera_et_al_paper_230.pdf","open_access":"1"}],"_id":"33738","language":[{"iso":"eng"}],"publisher":"Springer International Publishing","user_id":"72768","doi":"10.1007/978-3-031-11609-4_9","status":"public","title":"Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings","year":"2022","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031116087","9783031116094"]},"author":[{"id":"72768","orcid":"0000-0003-0215-1278","last_name":"Zahera","first_name":"Hamada Mohamed Abdelsamee","full_name":"Zahera, Hamada Mohamed Abdelsamee"},{"id":"11871","last_name":"Heindorf","first_name":"Stefan","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan"},{"full_name":"Balke, Stefan","first_name":"Stefan","last_name":"Balke"},{"full_name":"Haupt, Jonas","first_name":"Jonas","last_name":"Haupt"},{"full_name":"Voigt, Martin","last_name":"Voigt","first_name":"Martin"},{"last_name":"Walter","first_name":"Carolin","full_name":"Walter, Carolin"},{"last_name":"Witter","first_name":"Fabian","full_name":"Witter, Fabian"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"publication_status":"published","date_updated":"2023-06-23T09:20:20Z","date_created":"2022-10-15T19:25:42Z","place":"Cham","type":"book_chapter","department":[{"_id":"574"}],"oa":"1","publication":"The Semantic Web: ESWC 2022 Satellite Events","citation":{"bibtex":"@inbook{Zahera_Heindorf_Balke_Haupt_Voigt_Walter_Witter_Ngonga Ngomo_2022, place={Cham}, title={Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-11609-4_9\">10.1007/978-3-031-11609-4_9</a>}, booktitle={The Semantic Web: ESWC 2022 Satellite Events}, publisher={Springer International Publishing}, author={Zahera, Hamada Mohamed Abdelsamee and Heindorf, Stefan and Balke, Stefan and Haupt, Jonas and Voigt, Martin and Walter, Carolin and Witter, Fabian and Ngonga Ngomo, Axel-Cyrille}, year={2022} }","ama":"Zahera HMA, Heindorf S, Balke S, et al. Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings. In: <i>The Semantic Web: ESWC 2022 Satellite Events</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-11609-4_9\">10.1007/978-3-031-11609-4_9</a>","mla":"Zahera, Hamada Mohamed Abdelsamee, et al. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.” <i>The Semantic Web: ESWC 2022 Satellite Events</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-11609-4_9\">10.1007/978-3-031-11609-4_9</a>.","chicago":"Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, Stefan Balke, Jonas Haupt, Martin Voigt, Carolin Walter, Fabian Witter, and Axel-Cyrille Ngonga Ngomo. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.” In <i>The Semantic Web: ESWC 2022 Satellite Events</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-11609-4_9\">https://doi.org/10.1007/978-3-031-11609-4_9</a>.","short":"H.M.A. Zahera, S. Heindorf, S. Balke, J. Haupt, M. Voigt, C. Walter, F. Witter, A.-C. Ngonga Ngomo, in: The Semantic Web: ESWC 2022 Satellite Events, Springer International Publishing, Cham, 2022.","ieee":"H. M. A. Zahera <i>et al.</i>, “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings,” in <i>The Semantic Web: ESWC 2022 Satellite Events</i>, Cham: Springer International Publishing, 2022.","apa":"Zahera, H. M. A., Heindorf, S., Balke, S., Haupt, J., Voigt, M., Walter, C., Witter, F., &#38; Ngonga Ngomo, A.-C. (2022). Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings. In <i>The Semantic Web: ESWC 2022 Satellite Events</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-11609-4_9\">https://doi.org/10.1007/978-3-031-11609-4_9</a>"}},{"author":[{"full_name":"Bondarenko, Alexander","last_name":"Bondarenko","first_name":"Alexander"},{"full_name":"Wolska, Magdalena","last_name":"Wolska","first_name":"Magdalena"},{"id":"11871","last_name":"Heindorf","orcid":"0000-0002-4525-6865","first_name":"Stefan","full_name":"Heindorf, Stefan"},{"full_name":"Blübaum, Lukas","first_name":"Lukas","last_name":"Blübaum"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","id":"65716"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"},{"last_name":"Braslavski","first_name":"Pavel","full_name":"Braslavski, Pavel"},{"last_name":"Hagen","first_name":"Matthias","full_name":"Hagen, Matthias"},{"full_name":"Potthast, Martin","first_name":"Martin","last_name":"Potthast"}],"status":"public","title":"CausalQA: A Benchmark for Causal Question Answering","year":"2022","date_updated":"2023-07-02T18:14:01Z","publisher":"International Committee on Computational Linguistics","_id":"33739","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2022.coling-1.291.pdf"}],"page":"3296–3308","user_id":"11871","citation":{"chicago":"Bondarenko, Alexander, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, and Martin Potthast. “CausalQA: A Benchmark for Causal Question Answering.” In <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 3296–3308. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.","short":"A. Bondarenko, M. Wolska, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, B. Stein, P. Braslavski, M. Hagen, M. Potthast, in: Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 3296–3308.","apa":"Bondarenko, A., Wolska, M., Heindorf, S., Blübaum, L., Ngonga Ngomo, A.-C., Stein, B., Braslavski, P., Hagen, M., &#38; Potthast, M. (2022). CausalQA: A Benchmark for Causal Question Answering. <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 3296–3308.","ieee":"A. Bondarenko <i>et al.</i>, “CausalQA: A Benchmark for Causal Question Answering,” in <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 2022, pp. 3296–3308.","ama":"Bondarenko A, Wolska M, Heindorf S, et al. CausalQA: A Benchmark for Causal Question Answering. In: <i>Proceedings of the 29th International Conference on Computational Linguistics</i>. International Committee on Computational Linguistics; 2022:3296–3308.","bibtex":"@inproceedings{Bondarenko_Wolska_Heindorf_Blübaum_Ngonga Ngomo_Stein_Braslavski_Hagen_Potthast_2022, place={Gyeongju, Republic of Korea}, title={CausalQA: A Benchmark for Causal Question Answering}, booktitle={Proceedings of the 29th International Conference on Computational Linguistics}, publisher={International Committee on Computational Linguistics}, author={Bondarenko, Alexander and Wolska, Magdalena and Heindorf, Stefan and Blübaum, Lukas and Ngonga Ngomo, Axel-Cyrille and Stein, Benno and Braslavski, Pavel and Hagen, Matthias and Potthast, Martin}, year={2022}, pages={3296–3308} }","mla":"Bondarenko, Alexander, et al. “CausalQA: A Benchmark for Causal Question Answering.” <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, International Committee on Computational Linguistics, 2022, pp. 3296–3308."},"publication":"Proceedings of the 29th International Conference on Computational Linguistics","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"abstract":[{"text":"At least 5% of questions submitted to search engines ask about cause-effect relationships in some way. To support the development of tailored approaches that can answer such questions, we construct Webis-CausalQA-22, a benchmark corpus of 1.1 million causal questions with answers. We distinguish different types of causal questions using a novel typology derived from a data-driven, manual analysis of questions from ten large question answering (QA) datasets. Using high-precision lexical rules, we extract causal questions of each type from these datasets to create our corpus. As an initial baseline, the state-of-the-art QA model UnifiedQA achieves a ROUGE-L F1 score of 0.48 on our new benchmark.","lang":"eng"}],"place":"Gyeongju, Republic of Korea","date_created":"2022-10-15T19:33:10Z","oa":"1","department":[{"_id":"574"},{"_id":"760"}],"type":"conference"},{"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2021/IDEAL2021_DriftDetectionEmbeddings/Drift-Detection-in-Text-Data-with-Document-Embeddings-public.pdf"}],"language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-91608-4_11","title":"Drift Detection in Text Data with Document Embeddings","year":"2021","author":[{"last_name":"Feldhans","first_name":"Robert","full_name":"Feldhans, Robert"},{"full_name":"Wilke, Adrian","last_name":"Wilke","orcid":"0000-0002-6575-807X","first_name":"Adrian","id":"9101"},{"id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","first_name":"Stefan"},{"last_name":"Shaker","first_name":"Mohammad Hossein","full_name":"Shaker, Mohammad Hossein"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"publication_identifier":{"isbn":["9783030916077","9783030916084"],"issn":["0302-9743","1611-3349"]},"date_updated":"2022-10-15T19:54:20Z","publication_status":"published","date_created":"2022-01-12T10:27:23Z","type":"book_chapter","department":[{"_id":"574"}],"publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2021","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007/978-3-030-91608-4_11"}]},"_id":"29292","publisher":"Springer International Publishing","user_id":"11871","status":"public","place":"Cham","oa":"1","citation":{"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>.","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.","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.","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>","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} }","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>."}},{"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf"}],"_id":"29287","language":[{"iso":"eng"}],"user_id":"11871","title":"Convolutional Hypercomplex Embeddings for Link Prediction","year":"2021","status":"public","author":[{"id":"43817","last_name":"Demir","first_name":"Caglar","full_name":"Demir, Caglar"},{"last_name":"Moussallem","first_name":"Diego","full_name":"Moussallem, Diego","id":"71635"},{"id":"11871","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf"},{"last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_updated":"2022-10-17T15:06:40Z","external_id":{"arxiv":["2106.15230"]},"date_created":"2022-01-12T10:21:10Z","type":"conference","department":[{"_id":"574"}],"oa":"1","publication":"The 13th Asian Conference on Machine Learning, ACML 2021","citation":{"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.","short":"C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021.","ieee":"C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 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} }","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.","mla":"Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.” <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021."},"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."}]},{"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"publication":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","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>.","short":"T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021.","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>.","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>","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} }","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>."},"type":"conference","department":[{"_id":"66"},{"_id":"574"}],"oa":"1","date_created":"2022-01-12T10:31:42Z","publication_status":"published","date_updated":"2022-10-17T15:07:38Z","title":"Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts","status":"public","year":"2021","author":[{"id":"27340","full_name":"Nickchen, Tobias","first_name":"Tobias","last_name":"Nickchen","orcid":"0000-0001-8958-9330"},{"orcid":"0000-0002-4525-6865","last_name":"Heindorf","first_name":"Stefan","full_name":"Heindorf, Stefan","id":"11871"},{"id":"107","full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor"}],"user_id":"11871","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"}],"_id":"29294","publisher":"IEEE","language":[{"iso":"eng"}]},{"citation":{"bibtex":"@article{Heindorf_2021, title={Automatically generating instructions from tutorials for search and user navigation}, author={Heindorf, Stefan}, year={2021} }","ama":"Heindorf S. Automatically generating instructions from tutorials for search and user navigation. Published online 2021.","short":"S. Heindorf, (2021).","chicago":"Heindorf, Stefan. “Automatically Generating Instructions from Tutorials for Search and User Navigation,” 2021.","ieee":"S. Heindorf, “Automatically generating instructions from tutorials for search and user navigation.” 2021.","mla":"Heindorf, Stefan. <i>Automatically Generating Instructions from Tutorials for Search and User Navigation</i>. 2021.","apa":"Heindorf, S. (2021). <i>Automatically generating instructions from tutorials for search and user navigation</i>."},"ipc":"US15/885,363 ","date_created":"2022-10-15T19:19:10Z","type":"patent","oa":"1","year":"2021","title":"Automatically generating instructions from tutorials for search and user navigation","status":"public","author":[{"id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","first_name":"Stefan","orcid":"0000-0002-4525-6865"}],"date_updated":"2022-10-17T15:21:49Z","ipn":"10936684","main_file_link":[{"url":"https://patentimages.storage.googleapis.com/f6/21/79/657191c3dfe93b/US10936684.pdf","open_access":"1"}],"_id":"33733","user_id":"11871","publication_date":"2021-03-02"},{"file_date_updated":"2024-05-30T18:02:28Z","citation":{"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>.","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>","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} }","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>","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>.","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>."},"oa":"1","status":"public","has_accepted_license":"1","publisher":"ACM","_id":"29291","ddc":["000"],"user_id":"11871","publication":"Proceedings of the 11th on Knowledge Capture Conference","file":[{"file_id":"54523","content_type":"application/pdf","success":1,"file_name":"ASSET_public.pdf","file_size":537882,"access_level":"closed","relation":"main_file","date_updated":"2024-05-30T18:02:28Z","date_created":"2024-05-30T18:02:28Z","creator":"heindorf"}],"date_created":"2022-01-12T10:27:02Z","type":"conference","department":[{"_id":"574"}],"year":"2021","title":"ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs","author":[{"id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","first_name":"Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278"},{"full_name":"Heindorf, Stefan","last_name":"Heindorf","first_name":"Stefan","orcid":"0000-0002-4525-6865","id":"11871"},{"last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2024-05-30T18:02:43Z","publication_status":"published","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2021/KCAP2021_ASSET/public.pdf"}],"language":[{"iso":"eng"}],"doi":"10.1145/3460210.3493563"},{"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"publication":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)","citation":{"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} }","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>","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>.","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>","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.","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>."},"type":"conference","oa":"1","department":[{"_id":"574"}],"date_created":"2020-10-20T13:11:14Z","date_updated":"2022-10-15T19:57:01Z","title":"CauseNet: Towards a Causality Graph Extracted from the Web","year":"2020","status":"public","author":[{"orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf","full_name":"Heindorf, Stefan","id":"11871"},{"full_name":"Scholten, Yan","last_name":"Scholten","first_name":"Yan"},{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"},{"last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"last_name":"Potthast","first_name":"Martin","full_name":"Potthast, Martin"}],"doi":"10.1145/3340531.3412763","user_id":"11871","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2020/CIKM-20/heindorf_2020a_public.pdf"}],"page":"3023-3030","language":[{"iso":"eng"}],"_id":"20141"},{"conference":{"end_date":"2015-05-17","location":"San Francisco, USA","start_date":"2019-05-13","name":"2019 World Wide Web Conference (WWW '19)"},"status":"public","has_accepted_license":"1","publisher":"ACM","_id":"7668","page":"670-680","ddc":["000"],"user_id":"11871","citation":{"mla":"Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata.” <i>WWW</i>, ACM, 2019, pp. 670–80, doi:<a href=\"https://doi.org/10.1145/3308558.3313507\">10.1145/3308558.3313507</a>.","bibtex":"@inproceedings{Heindorf_Scholten_Engels_Potthast_2019, title={Debiasing Vandalism Detection Models at Wikidata}, DOI={<a href=\"https://doi.org/10.1145/3308558.3313507\">10.1145/3308558.3313507</a>}, booktitle={WWW}, publisher={ACM}, author={Heindorf, Stefan and Scholten, Yan and Engels, Gregor and Potthast, Martin}, year={2019}, pages={670–680} }","ama":"Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata. In: <i>WWW</i>. ACM; 2019:670-680. doi:<a href=\"https://doi.org/10.1145/3308558.3313507\">10.1145/3308558.3313507</a>","ieee":"S. Heindorf, Y. Scholten, G. Engels, and M. Potthast, “Debiasing Vandalism Detection Models at Wikidata,” in <i>WWW</i>, San Francisco, USA, 2019, pp. 670–680.","apa":"Heindorf, S., Scholten, Y., Engels, G., &#38; Potthast, M. (2019). Debiasing Vandalism Detection Models at Wikidata. In <i>WWW</i> (pp. 670–680). San Francisco, USA: ACM. <a href=\"https://doi.org/10.1145/3308558.3313507\">https://doi.org/10.1145/3308558.3313507</a>","short":"S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: WWW, ACM, 2019, pp. 670–680.","chicago":"Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing Vandalism Detection Models at Wikidata.” In <i>WWW</i>, 670–80. ACM, 2019. <a href=\"https://doi.org/10.1145/3308558.3313507\">https://doi.org/10.1145/3308558.3313507</a>."},"file_date_updated":"2019-04-27T06:09:45Z","project":[{"name":"SFB 901 - Subproject C5","_id":"17"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"1","name":"SFB 901"}],"oa":"1","publication_identifier":{"unknown":["978-1-4503-6674-8/19/05"]},"author":[{"first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","full_name":"Heindorf, Stefan","id":"11871"},{"last_name":"Scholten","first_name":"Yan","full_name":"Scholten, Yan"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"},{"last_name":"Potthast","first_name":"Martin","full_name":"Potthast, Martin"}],"title":"Debiasing Vandalism Detection Models at Wikidata","year":"2019","date_updated":"2022-01-06T07:03:43Z","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/heindorf2019_WWW.pdf"}],"doi":"10.1145/3308558.3313507","publication":"WWW","date_created":"2019-02-13T14:10:36Z","file":[{"access_level":"closed","file_size":1302648,"file_name":"heindorf2019_WWW.pdf","date_updated":"2019-04-27T06:09:45Z","relation":"main_file","content_type":"application/pdf","success":1,"file_id":"9518","creator":"heindorf","date_created":"2019-04-27T06:09:45Z"}],"department":[{"_id":"66"}],"type":"conference"},{"year":"2019","status":"public","title":"Vandalism Detection in Crowdsourced Knowledge Bases","author":[{"first_name":"Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","id":"11871"}],"date_updated":"2022-01-06T06:52:20Z","has_accepted_license":"1","publisher":"Universität Paderborn","_id":"15333","language":[{"iso":"eng"}],"user_id":"477","ddc":["040"],"file_date_updated":"2020-01-16T12:09:52Z","citation":{"ieee":"S. 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Universität Paderborn; 2019."},"supervisor":[{"full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels","id":"107"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"file":[{"date_created":"2020-01-16T12:09:52Z","creator":"florida","success":1,"content_type":"application/pdf","file_id":"15603","access_level":"closed","file_size":1740910,"file_name":"Dissertation_Stefan_Heindorf.pdf","date_updated":"2020-01-16T12:09:52Z","relation":"main_file"}],"date_created":"2019-12-17T06:15:38Z","type":"dissertation","department":[{"_id":"66"}]},{"_id":"14568","language":[{"iso":"eng"}],"page":"289-290","main_file_link":[{"open_access":"1","url":"https://dl.gi.de/bitstream/handle/20.500.12116/24997/paper3_25.pdf"}],"user_id":"11871","doi":"10.18420/inf2019_48","author":[{"id":"11871","first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","full_name":"Heindorf, Stefan"},{"full_name":"Scholten, Yan","last_name":"Scholten","first_name":"Yan"},{"id":"107","full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels"},{"full_name":"Potthast, Martin","first_name":"Martin","last_name":"Potthast"}],"title":"Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)","year":"2019","status":"public","date_updated":"2022-01-06T06:52:03Z","date_created":"2019-11-05T15:48:52Z","department":[{"_id":"66"}],"oa":"1","type":"conference","citation":{"ama":"Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In: <i>INFORMATIK</i>. ; 2019:289-290. doi:<a href=\"https://doi.org/10.18420/inf2019_48\">10.18420/inf2019_48</a>","bibtex":"@inproceedings{Heindorf_Scholten_Engels_Potthast_2019, title={Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)}, DOI={<a href=\"https://doi.org/10.18420/inf2019_48\">10.18420/inf2019_48</a>}, booktitle={INFORMATIK}, author={Heindorf, Stefan and Scholten, Yan and Engels, Gregor and Potthast, Martin}, year={2019}, pages={289–290} }","mla":"Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract).” <i>INFORMATIK</i>, 2019, pp. 289–90, doi:<a href=\"https://doi.org/10.18420/inf2019_48\">10.18420/inf2019_48</a>.","chicago":"Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract).” In <i>INFORMATIK</i>, 289–90, 2019. <a href=\"https://doi.org/10.18420/inf2019_48\">https://doi.org/10.18420/inf2019_48</a>.","short":"S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: INFORMATIK, 2019, pp. 289–290.","apa":"Heindorf, S., Scholten, Y., Engels, G., &#38; Potthast, M. (2019). Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In <i>INFORMATIK</i> (pp. 289–290). <a href=\"https://doi.org/10.18420/inf2019_48\">https://doi.org/10.18420/inf2019_48</a>","ieee":"S. Heindorf, Y. Scholten, G. Engels, and M. Potthast, “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract),” in <i>INFORMATIK</i>, 2019, pp. 289–290."},"publication":"INFORMATIK"},{"oa":"1","place":"Cham","citation":{"ama":"Wolters D, Heindorf S, Kirchhoff J, Engels G. Semantic Data Mediator: Linking Services to Websites. In: Braubach L, Murillo JM, Kaviani N, et al., eds. <i>Service-Oriented Computing -- ICSOC 2017 Workshops</i>. Springer International Publishing; 2018:388-392. doi:<a href=\"https://doi.org/10.1007/978-3-319-91764-1_36\">10.1007/978-3-319-91764-1_36</a>","bibtex":"@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2018, place={Cham}, title={Semantic Data Mediator: Linking Services to Websites}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-91764-1_36\">10.1007/978-3-319-91764-1_36</a>}, booktitle={Service-Oriented Computing -- ICSOC 2017 Workshops}, publisher={Springer International Publishing}, author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels, Gregor}, editor={Braubach, Lars and Murillo, Juan M. and Kaviani, Nima and Lama, Manuel and Burgueño, Loli and Moha, Naouel and Oriol, Marc}, year={2018}, pages={388–392} }","mla":"Wolters, Dennis, et al. “Semantic Data Mediator: Linking Services to Websites.” <i>Service-Oriented Computing -- ICSOC 2017 Workshops</i>, edited by Lars Braubach et al., Springer International Publishing, 2018, pp. 388–92, doi:<a href=\"https://doi.org/10.1007/978-3-319-91764-1_36\">10.1007/978-3-319-91764-1_36</a>.","short":"D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: L. Braubach, J.M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, M. Oriol (Eds.), Service-Oriented Computing -- ICSOC 2017 Workshops, Springer International Publishing, Cham, 2018, pp. 388–392.","chicago":"Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Semantic Data Mediator: Linking Services to Websites.” In <i>Service-Oriented Computing -- ICSOC 2017 Workshops</i>, edited by Lars Braubach, Juan M. Murillo, Nima Kaviani, Manuel Lama, Loli Burgueño, Naouel Moha, and Marc Oriol, 388–92. Cham: Springer International Publishing, 2018. <a href=\"https://doi.org/10.1007/978-3-319-91764-1_36\">https://doi.org/10.1007/978-3-319-91764-1_36</a>.","apa":"Wolters, D., Heindorf, S., Kirchhoff, J., &#38; Engels, G. (2018). Semantic Data Mediator: Linking Services to Websites. In L. Braubach, J. M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, &#38; M. Oriol (Eds.), <i>Service-Oriented Computing -- ICSOC 2017 Workshops</i> (pp. 388–392). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-91764-1_36\">https://doi.org/10.1007/978-3-319-91764-1_36</a>","ieee":"D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Semantic Data Mediator: Linking Services to Websites,” in <i>Service-Oriented Computing -- ICSOC 2017 Workshops</i>, 2018, pp. 388–392, doi: <a href=\"https://doi.org/10.1007/978-3-319-91764-1_36\">10.1007/978-3-319-91764-1_36</a>."},"user_id":"11871","editor":[{"first_name":"Lars","last_name":"Braubach","full_name":"Braubach, Lars"},{"first_name":"Juan M.","last_name":"Murillo","full_name":"Murillo, Juan M."},{"first_name":"Nima","last_name":"Kaviani","full_name":"Kaviani, Nima"},{"first_name":"Manuel","last_name":"Lama","full_name":"Lama, Manuel"},{"first_name":"Loli","last_name":"Burgueño","full_name":"Burgueño, Loli"},{"last_name":"Moha","first_name":"Naouel","full_name":"Moha, Naouel"},{"full_name":"Oriol, Marc","first_name":"Marc","last_name":"Oriol"}],"page":"388-392","publisher":"Springer International Publishing","_id":"5831","status":"public","type":"conference","department":[{"_id":"66"}],"date_created":"2018-11-26T11:52:59Z","abstract":[{"lang":"eng","text":"Many websites offer links to social media sites for convenient content sharing. Unfortunately, those sharing capabilities are quite restricted and it is seldom possible to share content with other services, like those provided by a user's favorite applications or smart devices. In this paper, we present Semantic Data Mediator (SDM) --- a flexible middleware linking a vast number of services to millions of websites. Based on reusable repositories of service descriptions defined by the crowd, users can easily fill a personal registry with their favorite services, which can then be linked to websites by SDM. For this, SDM leverages semantic data, which is already available on millions of websites due to search engine optimization. Further support for our approach from website or service developers is not required. To enable the use of a broad range of services, data conversion services are automatically composed by SDM to transform data according to the needs of the different services. In addition to linking web services, various service adapters allow services of applications and smart devices to be linked as well. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness."}],"publication":"Service-Oriented Computing -- ICSOC 2017 Workshops","doi":"10.1007/978-3-319-91764-1_36","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/wolters2017_ICSOC_demo.pdf"}],"language":[{"iso":"eng"}],"date_updated":"2022-10-15T20:00:17Z","title":"Semantic Data Mediator: Linking Services to Websites","year":"2018","publication_identifier":{"isbn":["978-3-319-91764-1"]},"author":[{"full_name":"Wolters, Dennis","first_name":"Dennis","last_name":"Wolters","id":"11308"},{"id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","first_name":"Stefan"},{"id":"39928","full_name":"Kirchhoff, Jonas","last_name":"Kirchhoff","first_name":"Jonas"},{"id":"107","full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels"}]},{"abstract":[{"text":"Websites increasingly embed semantic data for search engine optimization. The most common ontology for semantic data, schema.org, is supported by all major search engines and describes over 500 data types, including calendar events, recipes, products, and TV shows. As of today, users wishing to pass this data to their favorite applications, e.g., their calendars, cookbooks, price comparison applications or even smart devices such as TV receivers, rely on cumbersome and error-prone workarounds such as reentering the data or a series of copy and paste operations. In this paper, we present Semantic Data Mediator (SDM), an approach that allows the easy transfer of semantic data to a multitude of services, ranging from web services to applications installed on different devices. SDM extracts semantic data from the currently displayed web page on the client-side, offers suitable services to the user, and by the press of a button, forwards this data to the desired service while doing all the necessary data conversion and service interface adaptation in between. To realize this, we built a reusable repository of service descriptions, data converters, and service adapters, which can be extended by the crowd. Our approach for linking services to websites relies solely on semantic data and does not require any additional support by either website or service developers. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.","lang":"eng"}],"publication":"2017 IEEE International Conference on Web Services (ICWS)","department":[{"_id":"66"}],"keyword":["Services","Websites","Semantic Data","schema.org","Data Conversion","Interface Adaptation","Mediation"],"type":"conference","date_created":"2018-11-26T11:49:31Z","date_updated":"2022-10-15T20:01:55Z","publication_status":"published","author":[{"last_name":"Wolters","first_name":"Dennis","full_name":"Wolters, Dennis","id":"11308"},{"id":"11871","first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","full_name":"Heindorf, Stefan"},{"first_name":"Jonas","last_name":"Kirchhoff","full_name":"Kirchhoff, Jonas","id":"39928"},{"full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor","id":"107"}],"publication_identifier":{"isbn":["9781538607527"]},"title":"Linking Services to Websites by Leveraging Semantic Data","year":"2017","doi":"10.1109/icws.2017.80","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/wolters2017_ICWS.pdf","open_access":"1"}],"citation":{"chicago":"Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking Services to Websites by Leveraging Semantic Data.” In <i>2017 IEEE International Conference on Web Services (ICWS)</i>, edited by Ilkay Altintas and Shiping Chen. IEEE, 2017. <a href=\"https://doi.org/10.1109/icws.2017.80\">https://doi.org/10.1109/icws.2017.80</a>.","short":"D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: I. Altintas, S. Chen (Eds.), 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017.","apa":"Wolters, D., Heindorf, S., Kirchhoff, J., &#38; Engels, G. (2017). Linking Services to Websites by Leveraging Semantic Data. In I. Altintas &#38; S. Chen (Eds.), <i>2017 IEEE International Conference on Web Services (ICWS)</i>. IEEE. <a href=\"https://doi.org/10.1109/icws.2017.80\">https://doi.org/10.1109/icws.2017.80</a>","ieee":"D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Linking Services to Websites by Leveraging Semantic Data,” in <i>2017 IEEE International Conference on Web Services (ICWS)</i>, 2017, doi: <a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>.","ama":"Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites by Leveraging Semantic Data. In: Altintas I, Chen S, eds. <i>2017 IEEE International Conference on Web Services (ICWS)</i>. IEEE; 2017. doi:<a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>","bibtex":"@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2017, title={Linking Services to Websites by Leveraging Semantic Data}, DOI={<a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>}, booktitle={2017 IEEE International Conference on Web Services (ICWS)}, publisher={IEEE}, author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels, Gregor}, editor={Altintas, Ilkay and Chen, Shiping}, year={2017} }","mla":"Wolters, Dennis, et al. “Linking Services to Websites by Leveraging Semantic Data.” <i>2017 IEEE International Conference on Web Services (ICWS)</i>, edited by Ilkay Altintas and Shiping Chen, IEEE, 2017, doi:<a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>."},"oa":"1","status":"public","editor":[{"last_name":"Altintas","first_name":"Ilkay","full_name":"Altintas, Ilkay"},{"last_name":"Chen","first_name":"Shiping","full_name":"Chen, Shiping"}],"user_id":"11871","publisher":"IEEE","_id":"5829"},{"user_id":"11871","_id":"6722","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/1712.05956","open_access":"1"}],"date_updated":"2022-10-17T11:36:12Z","author":[{"id":"11871","orcid":"0000-0002-4525-6865","last_name":"Heindorf","first_name":"Stefan","full_name":"Heindorf, Stefan"},{"last_name":"Potthast","first_name":"Martin","full_name":"Potthast, Martin"},{"full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels","id":"107"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"}],"year":"2017","status":"public","title":"Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017","department":[{"_id":"66"}],"oa":"1","type":"conference","date_created":"2019-01-15T08:57:40Z","abstract":[{"lang":"eng","text":"We report on the Wikidata vandalism detection task at the WSDM Cup 2017. The\r\ntask received five submissions for which this paper describes their evaluation\r\nand a comparison to state of the art baselines. Unlike previous work, we recast\r\nWikidata vandalism detection as an online learning problem, requiring\r\nparticipant software to predict vandalism in near real-time. The\r\nbest-performing approach achieves a ROC-AUC of 0.947 at a PR-AUC of 0.458. In\r\nparticular, this task was organized as a software submission task: to maximize\r\nreproducibility as well as to foster future research and development on this\r\ntask, the participants were asked to submit their working software to the TIRA\r\nexperimentation platform along with the source code for open source release."}],"citation":{"ama":"Heindorf S, Potthast M, Engels G, Stein B. Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017. In: <i>WSDM Cup 2017 Notebook Papers</i>. ; 2017.","bibtex":"@inproceedings{Heindorf_Potthast_Engels_Stein_2017, title={Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017}, booktitle={WSDM Cup 2017 Notebook Papers}, author={Heindorf, Stefan and Potthast, Martin and Engels, Gregor and Stein, Benno}, year={2017} }","mla":"Heindorf, Stefan, et al. “Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017.” <i>WSDM Cup 2017 Notebook Papers</i>, 2017.","short":"S. Heindorf, M. Potthast, G. Engels, B. Stein, in: WSDM Cup 2017 Notebook Papers, 2017.","chicago":"Heindorf, Stefan, Martin Potthast, Gregor Engels, and Benno Stein. “Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017.” In <i>WSDM Cup 2017 Notebook Papers</i>, 2017.","apa":"Heindorf, S., Potthast, M., Engels, G., &#38; Stein, B. (2017). Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017. <i>WSDM Cup 2017 Notebook Papers</i>.","ieee":"S. Heindorf, M. Potthast, G. Engels, and B. Stein, “Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017,” 2017."},"publication":"WSDM Cup 2017 Notebook Papers"},{"date_created":"2022-10-15T19:14:01Z","external_id":{"arxiv":["1712.09528"]},"department":[{"_id":"66"}],"type":"preprint","citation":{"ieee":"M. Potthast, S. Heindorf, and H. Bast, “Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring,” <i>arXiv:1712.09528</i>. 2017.","apa":"Potthast, M., Heindorf, S., &#38; Bast, H. (2017). Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring. In <i>arXiv:1712.09528</i>.","short":"M. Potthast, S. Heindorf, H. Bast, ArXiv:1712.09528 (2017).","chicago":"Potthast, Martin, Stefan Heindorf, and Hannah Bast. “Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring.” <i>ArXiv:1712.09528</i>, 2017.","mla":"Potthast, Martin, et al. “Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring.” <i>ArXiv:1712.09528</i>, 2017.","bibtex":"@article{Potthast_Heindorf_Bast_2017, title={Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring}, journal={arXiv:1712.09528}, author={Potthast, Martin and Heindorf, Stefan and Bast, Hannah}, year={2017} }","ama":"Potthast M, Heindorf S, Bast H. Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring. <i>arXiv:171209528</i>. Published online 2017."},"publication":"arXiv:1712.09528","abstract":[{"text":"The WSDM Cup 2017 was a data mining challenge held in conjunction with the\r\n10th International Conference on Web Search and Data Mining (WSDM). It\r\naddressed key challenges of knowledge bases today: quality assurance and entity\r\nsearch. For quality assurance, we tackle the task of vandalism detection, based\r\non a dataset of more than 82 million user-contributed revisions of the Wikidata\r\nknowledge base, all of which annotated with regard to whether or not they are\r\nvandalism. For entity search, we tackle the task of triple scoring, using a\r\ndataset that comprises relevance scores for triples from type-like relations\r\nincluding occupation and country of citizenship, based on about 10,000 human\r\nrelevance judgements. For reproducibility sake, participants were asked to\r\nsubmit their software on TIRA, a cloud-based evaluation platform, and they were\r\nincentivized to share their approaches open source.","lang":"eng"}],"language":[{"iso":"eng"}],"_id":"33732","user_id":"11871","author":[{"full_name":"Potthast, Martin","first_name":"Martin","last_name":"Potthast"},{"full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf","id":"11871"},{"full_name":"Bast, Hannah","last_name":"Bast","first_name":"Hannah"}],"status":"public","year":"2017","title":"Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring","date_updated":"2022-10-17T11:21:00Z"},{"date_updated":"2024-05-26T19:15:24Z","author":[{"id":"11871","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf"},{"last_name":"Potthast","first_name":"Martin","full_name":"Potthast, Martin"},{"full_name":"Bast, Hannah","first_name":"Hannah","last_name":"Bast"},{"full_name":"Buchhold, Björn","first_name":"Björn","last_name":"Buchhold"},{"last_name":"Haussmann","first_name":"Elmar","full_name":"Haussmann, Elmar"}],"status":"public","title":"WSDM Cup 2017: Vandalism Detection and Triple Scoring","year":"2017","user_id":"11871","doi":"10.1145/3018661.3022762","language":[{"iso":"eng"}],"_id":"6721","publisher":"ACM","main_file_link":[{"open_access":"1","url":"https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/heindorf2017_WSDM.pdf"}],"page":"827-828","citation":{"ama":"Heindorf S, Potthast M, Bast H, Buchhold B, Haussmann E. WSDM Cup 2017: Vandalism Detection and Triple Scoring. In: <i>WSDM</i>. ACM; 2017:827-828. doi:<a href=\"https://doi.org/10.1145/3018661.3022762\">10.1145/3018661.3022762</a>","bibtex":"@inproceedings{Heindorf_Potthast_Bast_Buchhold_Haussmann_2017, title={WSDM Cup 2017: Vandalism Detection and Triple Scoring}, DOI={<a href=\"https://doi.org/10.1145/3018661.3022762\">10.1145/3018661.3022762</a>}, booktitle={WSDM}, publisher={ACM}, author={Heindorf, Stefan and Potthast, Martin and Bast, Hannah and Buchhold, Björn and Haussmann, Elmar}, year={2017}, pages={827–828} }","mla":"Heindorf, Stefan, et al. “WSDM Cup 2017: Vandalism Detection and Triple Scoring.” <i>WSDM</i>, ACM, 2017, pp. 827–28, doi:<a href=\"https://doi.org/10.1145/3018661.3022762\">10.1145/3018661.3022762</a>.","chicago":"Heindorf, Stefan, Martin Potthast, Hannah Bast, Björn Buchhold, and Elmar Haussmann. “WSDM Cup 2017: Vandalism Detection and Triple Scoring.” In <i>WSDM</i>, 827–28. ACM, 2017. <a href=\"https://doi.org/10.1145/3018661.3022762\">https://doi.org/10.1145/3018661.3022762</a>.","short":"S. Heindorf, M. Potthast, H. Bast, B. Buchhold, E. Haussmann, in: WSDM, ACM, 2017, pp. 827–828.","apa":"Heindorf, S., Potthast, M., Bast, H., Buchhold, B., &#38; Haussmann, E. (2017). WSDM Cup 2017: Vandalism Detection and Triple Scoring. <i>WSDM</i>, 827–828. <a href=\"https://doi.org/10.1145/3018661.3022762\">https://doi.org/10.1145/3018661.3022762</a>","ieee":"S. Heindorf, M. Potthast, H. Bast, B. Buchhold, and E. Haussmann, “WSDM Cup 2017: Vandalism Detection and Triple Scoring,” in <i>WSDM</i>, 2017, pp. 827–828, doi: <a href=\"https://doi.org/10.1145/3018661.3022762\">10.1145/3018661.3022762</a>."},"publication":"WSDM","department":[{"_id":"66"}],"oa":"1","type":"conference","date_created":"2019-01-15T08:54:23Z"},{"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/heindorf2016_CIKM.pdf"}],"language":[{"iso":"eng"}],"doi":"10.1145/2983323.2983740","title":"Vandalism Detection in Wikidata","year":"2016","author":[{"last_name":"Heindorf","first_name":"Stefan","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","id":"11871"},{"full_name":"Potthast, Matthias","last_name":"Potthast","first_name":"Matthias"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"},{"id":"107","last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor"}],"date_updated":"2022-10-17T11:31:41Z","file":[{"creator":"florida","date_created":"2018-03-21T13:01:43Z","file_name":"137-p327-heindorf.pdf","file_size":1842753,"access_level":"closed","relation":"main_file","date_updated":"2018-03-21T13:01:43Z","file_id":"1561","success":1,"content_type":"application/pdf"}],"date_created":"2017-10-17T12:41:18Z","type":"conference","department":[{"_id":"66"}],"publication":"Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)","abstract":[{"lang":"eng","text":"Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation. Its knowledge is increasingly used within Wikipedia itself and various other kinds of information systems, imposing high demands on its integrity.Wikidata can be edited by anyone and, unfortunately, it frequently gets vandalized, exposing all information systems using it to the risk of spreading vandalized and falsified information. In this paper, we present a new machine learning-based approach to detect vandalism in Wikidata.We propose a set of 47 features that exploit both content and context information, and we report on 4 classifiers of increasing effectiveness tailored to this learning task. Our approach is evaluated on the recently published Wikidata Vandalism Corpus WDVC-2015 and it achieves an area under curve value of the receiver operating characteristic, ROC-AUC, of 0.991. It significantly outperforms the state of the art represented by the rule-based Wikidata Abuse Filter (0.865 ROC-AUC) and a prototypical vandalism detector recently introduced by Wikimedia within the Objective Revision Evaluation Service (0.859 ROC-AUC)."}],"page":"327--336","_id":"137","ddc":["040"],"user_id":"11871","status":"public","has_accepted_license":"1","oa":"1","file_date_updated":"2018-03-21T13:01:43Z","citation":{"short":"S. Heindorf, M. Potthast, B. Stein, G. Engels, in: Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 2016, pp. 327--336.","chicago":"Heindorf, Stefan, Matthias Potthast, Benno Stein, and Gregor Engels. “Vandalism Detection in Wikidata.” In <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 327--336, 2016. <a href=\"https://doi.org/10.1145/2983323.2983740\">https://doi.org/10.1145/2983323.2983740</a>.","apa":"Heindorf, S., Potthast, M., Stein, B., &#38; Engels, G. (2016). Vandalism Detection in Wikidata. <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 327--336. <a href=\"https://doi.org/10.1145/2983323.2983740\">https://doi.org/10.1145/2983323.2983740</a>","ieee":"S. Heindorf, M. Potthast, B. Stein, and G. Engels, “Vandalism Detection in Wikidata,” in <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 2016, pp. 327--336, doi: <a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>.","ama":"Heindorf S, Potthast M, Stein B, Engels G. Vandalism Detection in Wikidata. In: <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>. ; 2016:327--336. doi:<a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>","bibtex":"@inproceedings{Heindorf_Potthast_Stein_Engels_2016, title={Vandalism Detection in Wikidata}, DOI={<a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>}, booktitle={Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)}, author={Heindorf, Stefan and Potthast, Matthias and Stein, Benno and Engels, Gregor}, year={2016}, pages={327--336} }","mla":"Heindorf, Stefan, et al. “Vandalism Detection in Wikidata.” <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 2016, pp. 327--336, doi:<a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>."},"project":[{"_id":"1","name":"SFB 901"},{"_id":"17","name":"SFB 901 - Subprojekt C5"},{"name":"SFB 901 - Project Area C","_id":"4"}]}]