Evgeny Kharlamov

Associate Professor
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Postal address P.O. Box 1080 Blindern N-0316 Oslo Norway

Short Bio

Evgeny is a Senior Expert in “AI methods for Semantic Digital Twins and Knowledge Graphs” at the Bosch Center for Artificial Intelligence and an Associate Professor at the University of Oslo. He was previously a Senior Research Fellow at the University of Oxford, a visiting researcher at the University of Edinburgh, and a researcher at the University of Bolzano and INRIA Saclay.

Evgeny does AI-centered research that aims at sustainable, circular, and smart manufacturing and centerred around topics of standardised, intelligent and data-driven production value-chain empowered with digital twins and IoT. His research in particular accounts for Semantic Technologies, ontologies, knowledge and cognitive graphs for symbolic representation and reasoning over manufacturing knowledge, for machine learning for processing of production data, and for their combinations in Neural-Symbolic AI methods.

Evgeny’s work led to 130+ publications including top tier venues such as NeurIPS, JIM, TODS, PVLDB, SIGMOD, IJCAI, AAAI, CIKM, and ISWC. His citation count at Google Scholar is about 3K. He won several prestigious awards including the best research and industrial applications papers at ESWC’20, ISWC’17, best demo at ISWC’15, and he is ranked as 18th among “AI 2000 Knowledge Engineering Most Influential Scholars” by AMiner.

Evgeny raised or participated in raising of about 3M EUR of research funding. He was in charge of several industrial collaborations of the University of Oxford and was in charge of or participated in several EU projects at the University of Oxford and Bosch (FP7, H2020) and of EPSRC and Royal Society projects at the University of Oxford.

Courses taught

  • TBA

Awards

  • 2020 ranked 18th of "AI 2000 Knowledge Engineering Most Influential Scholars" by AMiner
  • 2020 ranked 40th of "AI 2000 Knowledge Engineering Most Influential Scholars" by AMiner
  • 2020 Best research paper award at the ESWC’20 on Entity Summarization with User Feedback. Qingxia Liu, et al.
  • 2017 Best in-use paper award at ISWC’17 on Semantic Rule-Based Equipment Diagnostics. G. Mehdi, E. Kharlamov, et al.
  • 2016 Runner up for the best in-use paper award at ISWC’16 on Capturing Industrial Information Models with Ontologies and Constraints. E. Kharlamov, B. Cuenca Grau, E. Jimenez-Ruiz et al.
  • 2015 Best Demonstration at ISWC’15 on Semantic Access to Siemens Streaming Data: the Optique Way. E. Kharlamov, et al. 
  • 2012 PhD thesis mention by AI*IA (Italian association for Artificial Intelligence). My PhD thesis was selected as one of the best 3 PhD theses in Italy in the area of Artificial Intelligence defended in 2011 – 2012.
  • 2011 Visiting Researcher’s Grant: Computing Laboratory, Oxford University. 
  • 2009 2 years grant, funded by the Webdam project to work on probabilistic XML at INRIA Saclay and Telecom ParisTech in Paris.
  • 2008 IBM Best Master’s Thesis Award for research in the area of Computational Logic. Given by IBM Center for Advanced Studies, Rome, Italy.
  • 2006 Scholarship by the province of South Tyrol to excellent students: a one-off stipend given to the best students of the Free University of Bozen-Bolzano.
  • 2004-06 European Union’s Erasmus Mundus Grant: 2 years EU grant within European Master’s Program in Computational Logic. 
  • 2002, 03, 04 Scholarship of Novosibirsk State University to excellent students: a one-off yearly stipend to the best students of Mathematical Department.

Appointments

  • by email

Positions held

  • Research Scientist at Bosch Center for Artificial Intelligence, Renningen, Germany
  • Senior Research Fellow, Department of Computer Science, University of Oxford, UK
  • Researcher at the Free-University of Bozen-Bolzano
  • Researcher at INRIA Saclay, Paris 

Publications

  • Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto & Soylu, Ahmet [Show all 7 contributors for this article] (2022). Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13384, p. 123–128. doi: 10.1007/978-3-031-11609-4_23. Full text in Research Archive
  • Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto & Trung-Kien, Tran [Show all 11 contributors for this article] (2022). The Data Value Quest: A Holistic Semantic Approach at Bosch. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13384, p. 287–290. doi: 10.1007/978-3-031-11609-4_42. Full text in Research Archive
  • Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong & Jimenez-Ruiz, Ernesto [Show all 8 contributors for this article] (2022). Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13384, p. 299–302. doi: 10.1007/978-3-031-11609-4_45. Full text in Research Archive
  • Zhou, Baifan; Pychynski, Tim; Reischl, Markus; Kharlamov, Evgeny & Mikut, Ralf (2022). Machine Learning with Domain Knowledge for Predictive Quality Monitoring in Resistance Spot Welding. Journal of Intelligent Manufacturing. ISSN 0956-5515. doi: 10.1007/s10845-021-01892-y.
  • Roman, Dumitru; Nikolov, Nikolay; Elvesæter, Brian; Soylu, Ahmet; Prodan, Radu & Kimovski, Dragi [Show all 17 contributors for this article] (2021). DataCloud: Enabling the Big Data Pipelines on the Computing Continuum. In Cherfi, Samira; Perini, Anna & Nurcan, Selmin (Ed.), Research Challenges in Information Science: 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021, Proceedings. Springer. ISSN 978-3-030-75017-6. p. 715–717. doi: 10.1007/978-3-030-75018-3. Full text in Research Archive
  • Chen, Huajun; Deng, Shumin; Zhang, Wen; Xu, Zezhong; Li, Juan & Kharlamov, Evgeny (2021). Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking. Fundamental Research. ISSN 2096-9457. 1(5), p. 565–573. doi: 10.1016/j.fmre.2021.08.013.
  • Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong & Mikut, Ralf [Show all 8 contributors for this article] (2021). SemML: Facilitating development of ML models for condition monitoring with semantics. Journal of Web Semantics. ISSN 1570-8268. 71, p. 1–21. doi: 10.1016/j.websem.2021.100664. Full text in Research Archive
  • Tran, Trung-Kien; Gad-Elrab, Mohamed H.; Stepanova, Daria; Kharlamov, Evgeny & Stroetgen, Jannik (2020). Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs, WWW '20: Proceedings of The Web Conference 2020. Association for Computing Machinery (ACM). ISSN 978-1-4503-7023-3. p. 2613–2619. doi: 10.1145/3366423.3380014.
  • Cheng, Gong; Gunaratna, Kalpa & Kharlamov, Evgeny (2020). Entity Summarization in Knowledge Graphs: Algorithms, Evaluation, and Applications, WWW '20: Proceedings of The Web Conference 2020. Association for Computing Machinery (ACM). ISSN 978-1-4503-7023-3. p. 301–302. doi: 10.1145/3366424.3383108.
  • Shi, Yuxuan; Cheng, Gong & Kharlamov, Evgeny (2020). Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings, WWW '20: Proceedings of The Web Conference 2020. Association for Computing Machinery (ACM). ISSN 978-1-4503-7023-3. p. 235–245. doi: 10.1145/3366423.3380110.
  • Svetashova, Yulia; Zhou, Baifan; Pychynski, Tim; Schmidt, Stefanie; Sure-Vetter, York & Mikut, Ralf [Show all 7 contributors for this article] (2020). Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. p. 531–550. doi: 10.1007/978-3-030-62466-8_33.
  • Kalayci, Elem Güzel; Grangel-González,, Irlán; Lösch, Felix; Xiao, Guohui; ul-Mehdi, Anees & Kharlamov, Evgeny [Show all 7 contributors for this article] (2020). Semantic Integration of Bosch Manufacturing Data Using Virtual Knowledge Graphs. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 12507, p. 464–481. doi: 10.1007/978-3-030-62466-8_29.
  • Zhou, Baifan; Svetashova, Yulia; Pychynski, Tim & Kharlamov, Evgeny (2020). Semantic ML for manufacturing monitoring at Bosch. CEUR Workshop Proceedings. ISSN 1613-0073. 2721, p. 397–398.
  • Kalayci, Elem Guzel; Grangel-González, Irlán; Loesch, Felix; Xiao, Guohui; Mehdi, Anees & Kharlamov, Evgeny [Show all 7 contributors for this article] (2020). Serving Bosch production data as virtual KGs. CEUR Workshop Proceedings. ISSN 1613-0073. 2721(589), p. 355–358.
  • Svetashova, Yulia; Zhou, Baifan; Schmid, Stefan; Pychynski, Tim & Kharlamov, Evgeny (2020). SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. CEUR Workshop Proceedings. ISSN 1613-0073. 2721, p. 214–218.
  • Li, Shuxing; Huang, Zixian; Cheng, Gong; Kharlamov, Evgeny & Gunaratna, Kalpa (2020). Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. In Bessiere, Christian (Eds.), Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. International Joint Conferences on Artificial Intelligence. ISSN 978-0-9992411-6-5. doi: 10.24963/ijcai.2020/242.
  • Li, Junyou; Cheng, Gong; Liu, Qingxia; Zhang, Wen; Kharlamov, Evgeny & Gunaratna, Kalpa [Show all 7 contributors for this article] (2020). Neural Entity Summarization with Joint Encoding and Weak Supervision. In Bessiere, Christian (Eds.), Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. International Joint Conferences on Artificial Intelligence. ISSN 978-0-9992411-6-5. p. 1644–1650. doi: 10.24963/ijcai.2020/228.
  • Liu, Qingxia; Chen, Yue; Cheng, Gong; Kharlamov, Evgeny; Li, Junyou & Qu, Yuzhong (2020). Entity Summarization with User Feedback. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. p. 376–392. doi: 10.1007/978-3-030-49461-2_22.
  • Zhou, Baifan; Svetashova, Yulia; Byeon, Seongsu; Pychynski, Tim; Mikut, Ralf & Kharlamov, Evgeny (2020). Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. In d'Aquin, Mathieu & Dietze, Stefan (Ed.), CIKM 20 : The 29th ACM international conference on information and knowledge management : Virtual Event Ireland, October 19-23, 2020.. ACM Publications. ISSN 9781450368599. p. 2933–2940. doi: 10.1145/3340531.3412737.
  • Zhou, Baifan; Svetashova, Yulia; Pychynski, Tim; Baimuratov, Ildar; Soylu, Ahmet & Kharlamov, Evgeny (2020). SemFE: Facilitating ML Pipeline Development with Semantics. In d'Aquin, Mathieu & Dietze, Stefan (Ed.), CIKM 20 : The 29th ACM international conference on information and knowledge management : Virtual Event Ireland, October 19-23, 2020.. ACM Publications. ISSN 9781450368599. p. 3489–3492. doi: 10.1145/3340531.3417436.
  • Forssell, Henrik; Kharlamov, Evgeny & Thorstensen, Evgenij (2020). On equivalence and cores for incomplete databases in open and closed worlds. Leibniz International Proceedings in Informatics. ISSN 1868-8969. 155, p. 1–21. doi: 10.4230/LIPIcs.ICDT.2020.10. Full text in Research Archive
  • Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Nutt, Werner & Calvanese, Diego (2019). Evolution of OWL 2 QL knowledge bases: From inexpressibility to practical approaches. CEUR Workshop Proceedings. ISSN 1613-0073. 2576.
  • Kharlamov, Evgeny; Martin-Recuerda, Francisco; Perry, Brandon; Cameron, David B.; Fjellheim, Roar Arne & Waaler, Arild Torolv Søetorp (2019). Towards Semantically Enhanced Digital Twins. 2018 IEEE International Conference on Big Data (Big Data). p. 4189–4193. doi: 10.1109/BigData.2018.8622503.
  • Kharlamov, Evgeny; Mehdi, Gulnar; Savković, Ognjen; Xiao, Guohui; Lamparter, Steffen & Horrocks, Ian [Show all 7 contributors for this article] (2019). Towards Simplification of Analytical Workflows with Semantics at Siemens (Extended Abstract). 2018 IEEE International Conference on Big Data (Big Data). p. 1951–1954. doi: 10.1109/BigData.2018.8622652.
  • Wang, Xiaxia; Chen, Jinchi; Li, Shuxin; Cheng, Gong; Pan, Jeff Z. & Kharlamov, Evgeny [Show all 7 contributors for this article] (2019). A Framework for Evaluating Snippet Generation for Dataset Search. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11778 LNCS, p. 680–697. doi: 10.1007/978-3-030-30793-6_39.
  • Mailis, Theofilos; Kotidis, Yannis; Nikolopoulos, Vaggelis; Kharlamov, Evgeny; Horrocks, Ian & Ioannidis, Yannis (2019). MV-Index: An efficient index for graph-query containment. CEUR Workshop Proceedings. ISSN 1613-0073. 2456(50), p. 193–196.
  • Wang, Xiaxia; Cheng, Gong & Kharlamov, Evgeny (2019). Towards multi-facet snippets for dataset search. CEUR Workshop Proceedings. ISSN 1613-0073. 2465.
  • Klungre, Vidar Norstein; Soylu, Ahmet; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny & Giese, Martin (2019). Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. New generation computing. ISSN 0288-3635. 37(4), p. 361–392. doi: 10.1007/s00354-019-00071-1. Full text in Research Archive
  • Savkovic, Ognjen; Kharlamov, Evgeny & Lamparter, Steffen (2019). Validation of SHACL Constraints over KGs with OWL 2 QL Ontologies via Rewriting. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11503 LNCS, p. 314–329. doi: 10.1007/978-3-030-21348-0_21. Full text in Research Archive
  • Mailis, Theofilos; Kharlamov, Evgeny; Kotidis, Yannis; Horrocks, Ian; Nikolopoulos, Vaggelis & Ioannidis, Yannis (2019). An efficient index for RDF query containment. Proceedings of the ACM SIGMOD International Conference on Management of Data. ISSN 0730-8078. p. 1499–1516. doi: 10.1145/3299869.3319864.
  • Kharlamov, Evgeny; Kotidis, Yannis; Mailis, Theofilos; Neuenstadt, Christian; Nikolaou, Charalampos & Özcep, Özgür [Show all 12 contributors for this article] (2019). An ontology-mediated analytics-aware approach to support monitoring and diagnostics of static and streaming data. Journal of Web Semantics. ISSN 1570-8268. 56, p. 30–55. doi: 10.1016/j.websem.2019.01.001.
  • Zheleznyakov, Dmitriy; Kharlamov, Evgeny; Nutt, Werner & Calvanese, Diego (2019). On expansion and contraction of DL-Lite knowledge bases. Journal of Web Semantics. ISSN 1570-8268. 57, p. 1–19. doi: 10.1016/j.websem.2018.12.002.
  • Soylu, Ahmet & Kharlamov, Evgeny (2019). Navigating OWL 2 Ontologies Through Graph Projection. Communications in Computer and Information Science. ISSN 1865-0929. 846, p. 113–119. doi: 10.1007/978-3-030-14401-2_10. Full text in Research Archive
  • Savković, Ognjen; Kharlamov, Evgeny; Ringsquandl, Martin; Xiao, Guohui; Mehdi, Gulnar & Kalayc, Elem Güzel [Show all 8 contributors for this article] (2018). Semantic diagnostics of smart factories. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11341 LNCS, p. 277–294. doi: 10.1007/978-3-030-04284-4_19.
  • Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto & Xiao, Guohui [Show all 9 contributors for this article] (2018). Finding Data Should be Easier than Finding Oil. In Abe, Naoki; Liu, Huan; Hu, Xiaohua; Ahmed, Nesreen; Qiao, Mu; Song, Yang; Kossmann, Donald; Liu, Bing; Lee, Kisung; Tang, Jiliang; He, Jingrui & Saltz, Jeffrey (Ed.), 2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5386-5035-6. doi: 10.1109/BigData.2018.8622035. Full text in Research Archive
  • Soylu, Ahmet & Kharlamov, Evgeny (2018). Making Complex Ontologies End User Accessible via Ontology Projections. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11341, p. 295–303. doi: 10.1007/978-3-030-04284-4_20. Full text in Research Archive
  • Klungre, Vidar Norstein; Soylu, Ahmet; Giese, Martin; Waaler, Arild & Kharlamov, Evgeny (2018). On Enhancing Visual Query Building over KGs Using Query Logs. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11341, p. 77–85. doi: 10.1007/978-3-030-04284-4_6. Full text in Research Archive

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  • Zhou, Dongzhuoran; Zhou, Baifan; Chen, Jieying; Cheng, Gong; Kostylev, Egor & Kharlamov, Evgeny (2021). Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding.
  • Zhou, Baifan; Zhou, Dongzhuoran; Chen, Jieying; Svetashova, Yulia; Cheng, Gong & Kharlamov, Evgeny (2021). Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A BoschWelding Case.
  • Kharlamov, Evgeny (2019). Knowledge Graphs and Semantic Technologies for Industry 4.0.

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Published July 15, 2018 6:57 PM - Last modified Dec. 6, 2021 1:48 PM