{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:29:28Z","timestamp":1740101368238,"version":"3.37.3"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["958371"],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Norwegian Research Council","award":["237898"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,27]]},"DOI":"10.1145\/3579051.3579074","type":"proceedings-article","created":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T00:19:46Z","timestamp":1676333986000},"page":"99-103","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Towards A Visualisation Ontology for Reusable Visual Analytics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3698-0541","authenticated-orcid":false,"given":"Baifan","family":"Zhou","sequence":"first","affiliation":[{"name":"SIRIUS Centre, University of Oslo, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0877-9851","authenticated-orcid":false,"given":"Zhipeng","family":"Tan","sequence":"additional","affiliation":[{"name":"Bosch Center for AI, Germany and RWTH Aachen University, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4223-6746","authenticated-orcid":false,"given":"Zhuoxun","family":"Zheng","sequence":"additional","affiliation":[{"name":"Bosch Center for AI, Germany and Oslo Metropolitan University, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2387-1744","authenticated-orcid":false,"given":"Dongzhuoran","family":"Zhou","sequence":"additional","affiliation":[{"name":"Bosch Center for AI, Germany and SIRIUS Centre, University of Oslo, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9141-3008","authenticated-orcid":false,"given":"Ognjen","family":"Savkovic","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Free University of Bozen-Bolzano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3247-4166","authenticated-orcid":false,"given":"Evgeny","family":"Kharlamov","sequence":"additional","affiliation":[{"name":"Bosch Center for AI, Germany and SIRIUS Centre, University of Oslo, Norway"}]}],"member":"320","published-online":{"date-parts":[[2023,2,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Ontology in computer science. Semantic Web: Concepts, Technologies and Applications","author":"Breitman Karin\u00a0Koogan","year":"2007","unstructured":"Karin\u00a0Koogan Breitman , Marco\u00a0Antonio Casanova , and Walter Truszkowski . 2007. Ontology in computer science. Semantic Web: Concepts, Technologies and Applications ( 2007 ), 17\u201334. Karin\u00a0Koogan Breitman, Marco\u00a0Antonio Casanova, and Walter Truszkowski. 2007. Ontology in computer science. Semantic Web: Concepts, Technologies and Applications (2007), 17\u201334."},{"key":"e_1_3_2_1_2_1","volume-title":"Conference on Robot Learning. PMLR, 1423\u20131433","author":"Celik Onur","year":"2022","unstructured":"Onur Celik , Dongzhuoran Zhou , Ge Li , Philipp Becker , and Gerhard Neumann . 2022 . Specializing Versatile Skill Libraries using Local Mixture of Experts . In Conference on Robot Learning. PMLR, 1423\u20131433 . Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, and Gerhard Neumann. 2022. Specializing Versatile Skill Libraries using Local Mixture of Experts. In Conference on Robot Learning. PMLR, 1423\u20131433."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2500499"},{"volume-title":"What is an ontology?In Handbook on ontologies","author":"Guarino Nicola","key":"e_1_3_2_1_4_1","unstructured":"Nicola Guarino , Daniel Oberle , and Steffen Staab . 2009. What is an ontology?In Handbook on ontologies . Springer , 1\u201317. Nicola Guarino, Daniel Oberle, and Steffen Staab. 2009. What is an ontology?In Handbook on ontologies. Springer, 1\u201317."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21196340"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICECET55527.2022.9872585"},{"key":"e_1_3_2_1_7_1","unstructured":"Konstantinos Kotis and Andreas Papasalouros. 2018. STATistics Ontology. http:\/\/stato-ontology.org\/ Konstantinos Kotis and Andreas Papasalouros. 2018. STATistics Ontology. http:\/\/stato-ontology.org\/"},{"key":"e_1_3_2_1_8_1","unstructured":"Boris Motik 2012. OWL 2 Web Ontology Language Profiles. https:\/\/www.w3.org\/TR\/owl2-profiles\/ Boris Motik 2012. OWL 2 Web Ontology Language Profiles. https:\/\/www.w3.org\/TR\/owl2-profiles\/"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2021.103904"},{"key":"e_1_3_2_1_10_1","unstructured":"Natalya\u00a0F Noy Deborah\u00a0L McGuinness 2001. Ontology development 101: A guide to creating your first ontology. Natalya\u00a0F Noy Deborah\u00a0L McGuinness 2001. Ontology development 101: A guide to creating your first ontology."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0286-0"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00668-6_12"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Rui Song Dai Liu Dave\u00a0Zhenyu Chen Andreas Festag Carsten Trinitis Martin Schulz and Alois Knoll. 2022. Federated learning via decentralized dataset distillation in resource-constrained edge environments. arXiv preprint arXiv:2208.11311(2022). Rui Song Dai Liu Dave\u00a0Zhenyu Chen Andreas Festag Carsten Trinitis Martin Schulz and Alois Knoll. 2022. Federated learning via decentralized dataset distillation in resource-constrained edge environments. arXiv preprint arXiv:2208.11311(2022).","DOI":"10.1109\/IJCNN54540.2023.10191879"},{"key":"e_1_3_2_1_14_1","volume-title":"Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 3502\u20133508","author":"Song Rui","year":"2022","unstructured":"Rui Song , Liguo Zhou , Venkatnarayanan Lakshminarasimhan , Andreas Festag , and Alois Knoll . 2022 . Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 3502\u20133508 . Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan, Andreas Festag, and Alois Knoll. 2022. Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 3502\u20133508."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-62466-8_33"},{"volume-title":"ISWC, Vol.\u00a012507","author":"Svetashova Yulia","key":"e_1_3_2_1_16_1","unstructured":"Yulia Svetashova , Baifan Zhou , Tim Pychynski , Stefan Schmidt , York Sure-Vetter , Ralf Mikut , and Evgeny Kharlamov . 2020. Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring . In ISWC, Vol.\u00a012507 . Springer , 531\u2013550. Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, and Evgeny Kharlamov. 2020. Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. In ISWC, Vol.\u00a012507. Springer, 531\u2013550."},{"key":"e_1_3_2_1_17_1","unstructured":"Yulia Svetashova Baifan Zhou Stefan Schmid Tim Pychynski and Evgeny Kharlamov. 2020. SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. In ISWC (Demos\/Industry) Vol.\u00a02721. 213\u2013218. Yulia Svetashova Baifan Zhou Stefan Schmid Tim Pychynski and Evgeny Kharlamov. 2020. SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. In ISWC (Demos\/Industry) Vol.\u00a02721. 213\u2013218."},{"key":"e_1_3_2_1_18_1","volume-title":"Towards generalized welding ontology in line with ISO and knowledge graph construction. ESWC (Posters & Demos)","author":"Yahya Muhammad","year":"2022","unstructured":"Muhammad Yahya , Baifan Zhou , Zhuoxun Zheng , Dongzhuoran Zhou , John\u00a0 G Breslin , Muhammad\u00a0Intizar Ali , and Evgeny Kharlamov . 2022. Towards generalized welding ontology in line with ISO and knowledge graph construction. ESWC (Posters & Demos) , Springer( 2022 ). Muhammad Yahya, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John\u00a0G Breslin, Muhammad\u00a0Intizar Ali, and Evgeny Kharlamov. 2022. Towards generalized welding ontology in line with ISO and knowledge graph construction. ESWC (Posters & Demos), Springer(2022)."},{"key":"e_1_3_2_1_19_1","volume-title":"Query-based industrial analytics over knowledge graphs with ontology reshaping. ESWC (Posters & Demos)","author":"Zheng Zhuoxun","year":"2022","unstructured":"Zhuoxun Zheng , Baifan Zhou , Dongzhuoran Zhou , Gong Cheng , Ernesto Jim\u00e9nez-Ruiz , Ahmet Soylu , and Evgeny Kharlamov . 2022. Query-based industrial analytics over knowledge graphs with ontology reshaping. ESWC (Posters & Demos) , Springer( 2022 ). Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jim\u00e9nez-Ruiz, Ahmet Soylu, and Evgeny Kharlamov. 2022. Query-based industrial analytics over knowledge graphs with ontology reshaping. ESWC (Posters & Demos), Springer(2022)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Zhuoxun Zheng Baifan Zhou Dongzhuoran Zhou Ahmet Soylu and Evgeny Kharlamov. 2022. Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. In CIKM. Zhuoxun Zheng Baifan Zhou Dongzhuoran Zhou Ahmet Soylu and Evgeny Kharlamov. 2022. Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. In CIKM.","DOI":"10.1145\/3511808.3557512"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Zhuoxun Zheng Baifan Zhou Dongzhuoran Zhou Ahmet Soylu and Evgeny Kharlamov. 2022. ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. In CIKM. Zhuoxun Zheng Baifan Zhou Dongzhuoran Zhou Ahmet Soylu and Evgeny Kharlamov. 2022. ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. In CIKM.","DOI":"10.1145\/3511808.3557195"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Zhuoxun Zheng Baifan Zhou Dongzhuoran Zhou Xianda Zheng Gong Cheng Ahmet Soylu and Evgeny Kharlamov. 2022. Executable Knowledge Graph for Machine Learning: A Bosch Case for Welding Monitoring. In ISWC. Zhuoxun Zheng Baifan Zhou Dongzhuoran Zhou Xianda Zheng Gong Cheng Ahmet Soylu and Evgeny Kharlamov. 2022. Executable Knowledge Graph for Machine Learning: A Bosch Case for Welding Monitoring. In ISWC.","DOI":"10.1007\/978-3-031-19433-7_45"},{"key":"e_1_3_2_1_23_1","volume-title":"Akif\u00a0Quddus Khan, Ahmet Soylu, and Evgeny Kharlamov.","author":"Zheng Zhuoxun","year":"2022","unstructured":"Zhuoxun Zheng , Baifan Zhou\u00a0Dongzhuoran Zhou , Akif\u00a0Quddus Khan, Ahmet Soylu, and Evgeny Kharlamov. 2022 . Towards a Visualisation Ontology for Data Analysis in Industrial Applications. In SemIIM at ESWC. Zhuoxun Zheng, Baifan Zhou\u00a0Dongzhuoran Zhou, Akif\u00a0Quddus Khan, Ahmet Soylu, and Evgeny Kharlamov. 2022. Towards a Visualisation Ontology for Data Analysis in Industrial Applications. In SemIIM at ESWC."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2021.100664"},{"key":"e_1_3_2_1_25_1","unstructured":"Baifan Zhou Zhuoxun Zheng Dongzhuoran Zhou Zhipeng Tan Ognjen Savkovi\u0107 Hui Yang Yujia Zhang and Evgeny Kharlamov. 2022. Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing. In ISWC. Baifan Zhou Zhuoxun Zheng Dongzhuoran Zhou Zhipeng Tan Ognjen Savkovi\u0107 Hui Yang Yujia Zhang and Evgeny Kharlamov. 2022. Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing. In ISWC."},{"volume-title":"ESWC (Demos\/Industry)","author":"Zhou Dongzhuoran","key":"e_1_3_2_1_26_1","unstructured":"Dongzhuoran Zhou , Baifan Zhou , Zhuoxun Zheng , Egor\u00a0 V. Kostylev , Gong Cheng , Ernesto Jimenez-Ruiz , Ahmet Soylu , and Evgeny Kharlamov . 2022. Ontology reshaping enhanced KG generation at Bosch . In ESWC (Demos\/Industry) . Springer . Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Egor\u00a0V. Kostylev, Gong Cheng, Ernesto Jimenez-Ruiz, Ahmet Soylu, and Evgeny Kharlamov. 2022. Ontology reshaping enhanced KG generation at Bosch. In ESWC (Demos\/Industry). Springer."},{"volume-title":"Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case","author":"Zhou Dongzhuoran","key":"e_1_3_2_1_27_1","unstructured":"Dongzhuoran Zhou , Baifan Zhou , Zhuoxun Zheng , Ahmet Soylu , Gong Cheng , Ernesto Jimenez-Ruiz , Egor\u00a0 V. Kostylev , and Evgeny Kharlamov . 2022. Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case . In ISWC. Springer . Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jimenez-Ruiz, Egor\u00a0V. Kostylev, and Evgeny Kharlamov. 2022. Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case. In ISWC. Springer."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Dongzhuoran Zhou Baifan Zhou Zhuoxun Zheng Ahmet Soylu Ognjen Savkovic Egor\u00a0V Kostylev and Evgeny Kharlamov. 2022. ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. In CIKM. Dongzhuoran Zhou Baifan Zhou Zhuoxun Zheng Ahmet Soylu Ognjen Savkovic Egor\u00a0V Kostylev and Evgeny Kharlamov. 2022. ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. In CIKM.","DOI":"10.1145\/3511808.3557214"},{"key":"e_1_3_2_1_29_1","unstructured":"Dongzhuoran Zhou Baifan Zhou Zhuoxun Zheng Zhipeng Tan Egor\u00a0V Kostylev and Evgeny Kharlamov. 2022. Towards Executable Knowledge Graph Translation. In ISWC. Dongzhuoran Zhou Baifan Zhou Zhuoxun Zheng Zhipeng Tan Egor\u00a0V Kostylev and Evgeny Kharlamov. 2022. Towards Executable Knowledge Graph Translation. In ISWC."}],"event":{"name":"IJCKG 2022: 11th International Joint Conference On Knowledge Graphs","acronym":"IJCKG 2022","location":"Hangzhou China"},"container-title":["Proceedings of the 11th International Joint Conference on Knowledge Graphs"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579051.3579074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T02:46:44Z","timestamp":1701398804000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579051.3579074"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,27]]},"references-count":29,"alternative-id":["10.1145\/3579051.3579074","10.1145\/3579051"],"URL":"https:\/\/doi.org\/10.1145\/3579051.3579074","relation":{},"subject":[],"published":{"date-parts":[[2022,10,27]]},"assertion":[{"value":"2023-02-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}