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ORCIDEvgeny Kharlamov
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- affiliation: University of Oxford, UK
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2020 – today
- 2023
[j24]Muhammad Yahya
, Baifan Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry. IEEE Access 11: 37360-37377 (2023)- [j23]Xiaxia Wang, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search. IEEE Trans. Knowl. Data Eng. 35(2): 1227-1241 (2023) - [c142]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW 2023: 737-746 - [c141]Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang:
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW 2023: 759-769 - [e2]Arild Waaler, Evgeny Kharlamov, Baifan Zhou, Dongzhuoran Zhou:
Proceedings of the First International Workshop on Semantic Industrial Information Modelling (SemIIM 2022) co-located with the 19th Extended Semantic Web Conference ESWC 2022, Greece, Crete, 30 May 2022. CEUR Workshop Proceedings 3355, CEUR-WS.org 2023 [contents] - [i21]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, Steffen Staab:
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. CoRR abs/2303.11858 (2023) - [i20]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR abs/2304.04779 (2023) - [i19]Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov:
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. CoRR abs/2305.02966 (2023) - 2022
- [j22]Qinkai Zheng, Xiao Xia, Kun Zhang, Evgeny Kharlamov, Yuxiao Dong:
On the distribution alignment of propagation in graph neural networks. AI Open 3: 218-228 (2022) - [j21]Dumitru Roman, Radu Prodan, Nikolay Nikolov, Ahmet Soylu, Mihhail Matskin, Andrea Marrella, Dragi Kimovski, Brian Elvesæter, Anthony Simonet-Boulogne, Giannis Ledakis, Hui Song, Francesco Leotta, Evgeny Kharlamov:
Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. Computer 55(11): 74-84 (2022) - [j20]Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut:
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. J. Intell. Manuf. 33(4): 1139-1163 (2022) - [c140]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. CIKM 2022: 5064-5068 - [c139]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov:
ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. CIKM 2022: 5074-5078 - [c138]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. CIKM 2022: 5102-5103 - [c137]Evgeny Kharlamov:
Semantic Digital Twins: Trends and Shortcomings (Keynote). SeDiT@ESWC 2022 - [c136]Muhammad Yahya, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction. ESWC (Satellite Events) 2022: 83-88 - [c135]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov:
Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. ESWC (Satellite Events) 2022: 123-128 - [c134]Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Nikolay Nikolov, Ahmet Soylu, Evgeny Kharlamov:
The Data Value Quest: A Holistic Semantic Approach at Bosch. ESWC (Satellite Events) 2022: 287-290 - [c133]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Egor V. Kostylev, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov:
Enhancing Knowledge Graph Generation with Ontology Reshaping - Bosch Case. ESWC (Satellite Events) 2022: 299-302 - [c132]Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Ognjen Savkovic, Evgeny Kharlamov:
Towards A Visualisation Ontology for Reusable Visual Analytics. IJCKG 2022: 99-103 - [c131]Yuanwei Qu, Baifan Zhou, Evgeny Kharlamov, Martin Giese:
Industrial Geological Information Capture with GeoStructure Ontology. SemIIM 2022 - [c130]Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Evgeny Kharlamov:
Towards a Visualisation Ontology for Data Analysis in Industrial Applications. SemIIM 2022 - [c129]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Akif Quddus Khan, Ahmet Soylu, Evgeny Kharlamov:
Towards A Statistic Ontology for Data Analysis in Smart Manufacturing. ISWC (Posters/Demos/Industry) 2022 - [c128]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, Evgeny Kharlamov:
Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring. ISWC 2022: 791-809 - [c127]Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Yunjie He, Yuqicheng Zhu, Muhammad Yahya, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov:
Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment. ISWC (Posters/Demos/Industry) 2022 - [c126]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jiménez-Ruiz, Egor V. Kostylev, Evgeny Kharlamov:
Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case. ISWC 2022: 770-790 - [c125]Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Zhipeng Tan, Egor V. Kostylev, Evgeny Kharlamov:
Towards Executable Knowledge Graph Translation. ISWC (Posters/Demos/Industry) 2022 - [c124]Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Zhipeng Tan, Ognjen Savkovic, Hui Yang, Yujia Zhang, Evgeny Kharlamov:
Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing. ISWC (Posters/Demos/Industry) 2022 - [c123]Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov:
ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. SIGIR 2022: 2981-2991 - [c122]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. WWW 2022: 860-870 - [c121]Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. WWW 2022: 3248-3258 - [e1]Dörthe Arndt, Ahmet Soylu, Jan Vanthienen, Evgeny Kharlamov, Alexander Steen:
Proceedings of the 16th International Rule Challenge and 6th Doctoral Consortium @ RuleML+RR 2022 co-located with 18th Reasoning Web Summer School (RW 2022) and 14th DecisionCAMP 2022 as part of Declarative AI 2022, Berlin, Germany (virtual due to Covid-19 pandemic), 26 - 28 September, 2022. CEUR Workshop Proceedings 3229, CEUR-WS.org 2022 [contents] - [i18]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. CoRR abs/2203.01044 (2022) - [i17]Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang:
GRAND+: Scalable Graph Random Neural Networks. CoRR abs/2203.06389 (2022) - [i16]Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov:
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding. CoRR abs/2209.11067 (2022) - [i15]Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov:
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. CoRR abs/2209.11089 (2022) - 2021
- [j19]Theofilos Mailis, Yannis Kotidis, Stamatis Christoforidis, Evgeny Kharlamov, Yannis E. Ioannidis:
View Selection over Knowledge Graphs in Triple Stores. Proc. VLDB Endow. 14(13): 3281-3294 (2021) - [j18]Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov:
SemML: Facilitating development of ML models for condition monitoring with semantics. J. Web Semant. 71: 100664 (2021) - [c120]Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov:
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. IJCAI 2021: 1555-1562 - [c119]Dumitru Roman, Nikolay Nikolov, Ahmet Soylu, Brian Elvesæter, Hui Song, Radu Prodan, Dragi Kimovski, Andrea Marrella, Francesco Leotta, Mihhail Matskin, Giannis Ledakis, Konstantinos Theodosiou, Anthony Simonet-Boulogne, Fernando Perales, Evgeny Kharlamov, Alexandre Ulisses, Arnor Solberg, Raffaele Ceccarelli:
Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview. ISCC 2021: 1-4 - [c118]Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetashova, Gong Cheng, Evgeny Kharlamov:
Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding Case. IJCKG 2021: 54-63 - [c117]Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov:
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding. IJCKG 2021: 145-150 - [c116]Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang:
TDGIA: Effective Injection Attacks on Graph Neural Networks. KDD 2021: 2461-2471 - [c115]Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang:
Adaptive Diffusion in Graph Neural Networks. NeurIPS 2021: 23321-23333 - [c114]Xiaxia Wang, Gong Cheng, Tengteng Lin, Jing Xu, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
PCSG: Pattern-Coverage Snippet Generation for RDF Datasets. ISWC 2021: 3-20 - [c113]Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen:
Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. WWW 2021: 1410-1421 - [i14]Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang:
TDGIA: Effective Injection Attacks on Graph Neural Networks. CoRR abs/2106.06663 (2021) - [i13]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
A Self-supervised Method for Entity Alignment. CoRR abs/2106.09395 (2021) - [i12]Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. CoRR abs/2108.07516 (2021) - [i11]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
On Event-Driven Knowledge Graph Completion in Digital Factories. CoRR abs/2109.03655 (2021) - 2020
- [c112]Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov:
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. CIKM 2020: 2933-2940 - [c111]Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov:
SemFE: Facilitating ML Pipeline Development with Semantics. CIKM 2020: 3489-3492 - [c110]Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu:
Entity Summarization with User Feedback. ESWC 2020: 376-392 - [c109]Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen:
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. ICDT 2020: 10:1-10:21 - [c108]Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen:
Neural Entity Summarization with Joint Encoding and Weak Supervision. IJCAI 2020: 1644-1650 - [c107]Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna:
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. IJCAI 2020: 1748-1754 - [c106]Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang:
Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS 2020 - [c105]Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov:
SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. ISWC (Demos/Industry) 2020: 213-218 - [c104]Elem Guzel Kalayci, Irlán Grangel-González, Felix Loesch, Guohui Xiao, Anees Mehdi, Evgeny Kharlamov, Diego Calvanese:
Serving Bosch Production Data as Virtual KGs. ISWC (Demos/Industry) 2020: 354-358 - [c103]Baifan Zhou, Yulia Svetashova, Tim Pychynski, Evgeny Kharlamov:
Semantic ML for Manufacturing Monitoring at Bosch. ISWC (Demos/Industry) 2020: 398 - [c102]Elem Güzel Kalayci, Irlán Grangel-González, Felix Lösch, Guohui Xiao, Anees ul Mehdi, Evgeny Kharlamov, Diego Calvanese:
Semantic Integration of Bosch Manufacturing Data Using Virtual Knowledge Graphs. ISWC (2) 2020: 464-481 - [c101]Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, Evgeny Kharlamov:
Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. ISWC (2) 2020: 531-550 - [c100]Yuxuan Shi, Gong Cheng, Evgeny Kharlamov:
Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. WWW 2020: 235-245 - [c99]Gong Cheng, Kalpa Gunaratna, Evgeny Kharlamov:
Entity Summarization in Knowledge Graphs: Algorithms, Evaluation, and Applications. WWW (Companion Volume) 2020: 301-302 - [c98]Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova, Evgeny Kharlamov, Jannik Strötgen:
Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs. WWW 2020: 2613-2619 - [i10]Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen:
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. CoRR abs/2001.04757 (2020) - [i9]Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese:
On Expansion and Contraction of DL-Lite Knowledge Bases. CoRR abs/2001.09365 (2020) - [i8]Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen:
Neural Entity Summarization with Joint Encoding and Weak Supervision. CoRR abs/2005.00152 (2020) - [i7]Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna:
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. CoRR abs/2005.00153 (2020)
2010 – 2019
- 2019
- [j17]Vidar N. Klungre, Ahmet Soylu, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Martin Giese:
Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. New Gener. Comput. 37(4): 361-392 (2019) - [j16]Evgeny Kharlamov, Gulnar Mehdi, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Mikhail Roshchin:
Semantically-enhanced rule-based diagnostics for industrial Internet of Things: The SDRL language and case study for Siemens trains and turbines. J. Web Semant. 56: 11-29 (2019) - [j15]Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis, Christian Neuenstadt, Charalampos Nikolaou, Özgür L. Özçep, Christoforos Svingos, Dmitriy Zheleznyakov, Yannis E. Ioannidis, Steffen Lamparter, Ralf Möller, Arild Waaler:
An ontology-mediated analytics-aware approach to support monitoring and diagnostics of static and streaming data. J. Web Semant. 56: 30-55 (2019) - [j14]Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese:
On expansion and contraction of DL-Lite knowledge bases. J. Web Semant. 57 (2019) - [c97]Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. CIKM 2019: 2445-2448 - [c96]Zixian Huang, Shuxin Li, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
MiCRon: Making Sense of News via Relationship Subgraphs. CIKM 2019: 2901-2904 - [c95]Ognjen Savkovic, Evgeny Kharlamov, Steffen Lamparter:
Validation of SHACL Constraints over KGs with OWL 2 QL Ontologies via Rewriting. ESWC 2019: 314-329 - [c94]Xiaxia Wang, Gong Cheng, Evgeny Kharlamov:
Towards Multi-Facet Snippets for Dataset Search. PROFILES/SEMEX@ISWC 2019: 1-6 - [c93]Theofilos Mailis, Yannis Kotidis, Vaggelis Nikolopoulos, Evgeny Kharlamov, Ian Horrocks, Yannis E. Ioannidis:
Mv-Index: An Efficient Index for Graph-Query Containment. ISWC (Satellites) 2019: 193-196 - [c92]Anees Mehdi, Evgeny Kharlamov, Daria Stepanova, Felix Loesch, Irlán Grangel-González:
Towards Semantic Integration of Bosch Manufacturing Data. ISWC (Satellites) 2019: 303-304 - [c91]Jannik Strötgen, Trung-Kien Tran, Annemarie Friedrich, Dragan Milchevski, Federico Tomazic, Anika Marusczyk, Heike Adel, Daria Stepanova, Felix Hildebrand, Evgeny Kharlamov:
Towards the Bosch Materials Science Knowledge Base. ISWC (Satellites) 2019: 323-324 - [c90]Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
A Framework for Evaluating Snippet Generation for Dataset Search. ISWC (1) 2019: 680-697 - [c89]Theofilos Mailis, Yannis Kotidis, Vaggelis Nikolopoulos, Evgeny Kharlamov, Ian Horrocks, Yannis E. Ioannidis:
An Efficient Index for RDF Query Containment. SIGMOD Conference 2019: 1499-1516 - [i6]Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
A Framework for Evaluating Snippet Generation for Dataset Search. CoRR abs/1907.01183 (2019) - [i5]Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. CoRR abs/1908.11146 (2019) - 2018
- [j13]Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Wolfgang May, Andriy Nikolov, Ana Sasa Bastinos, Martin G. Skjæveland, Alessandro Solimando, Mohsen Taheriyan, Christian Heupel, Ian Horrocks:
RODI: Benchmarking relational-to-ontology mapping generation quality. Semantic Web 9(1): 25-52 (2018) - [j12]Ahmet Soylu, Evgeny Kharlamov, Dmitriy Zheleznyakov, Ernesto Jiménez-Ruiz, Martin Giese, Martin G. Skjæveland, Dag Hovland, Rudolf Schlatte, Sebastian Brandt, Hallstein Lie, Ian Horrocks:
OptiqueVQS: A visual query system over ontologies for industry. Semantic Web 9(5): 627-660 (2018) - [c88]Evgeny Kharlamov, Martin G. Skjæveland, Dag Hovland, Theofilos Mailis, Ernesto Jiménez-Ruiz, Guohui Xiao, Ahmet Soylu, Ian Horrocks, Arild Waaler:
Finding Data Should be Easier than Finding Oil. IEEE BigData 2018: 1747-1756 - [c87]Evgeny Kharlamov, Gulnar Mehdi, Ognjen Savkovic, Guohui Xiao, Steffen Lamparter, Ian Horrocks, Arild Waaler:
Towards Simplification of Analytical Workflows With Semantics at Siemens (Extended Abstract). IEEE BigData 2018: 1951-1954 - [c86]Evgeny Kharlamov, Francisco Martín-Recuerda, Brandon Perry, David Cameron, Roar Fjellheim, Arild Waaler:
Towards Semantically Enhanced Digital Twins. IEEE BigData 2018: 4189-4193 - [c85]Ognjen Savkovic, Evgeny Kharlamov, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks:
Theoretical Characterization of Signal Diagnostic Processing Language. Description Logics 2018 - [c84]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
Event-Enhanced Learning for KG Completion. ESWC 2018: 541-559 - [c83]Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler:
Diagnostics of Trains with Semantic Diagnostics Rules. ILP 2018: 54-71 - [c82]Vidar Klungre, Ahmet Soylu, Martin Giese, Arild Waaler, Evgeny Kharlamov:
On Enhancing Visual Query Building over KGs Using Query Logs. JIST 2018: 77-85 - [c81]Ognjen Savkovic, Evgeny Kharlamov, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Ian Horrocks:
Semantic Diagnostics of Smart Factories. JIST 2018: 277-294 - [c80]Ahmet Soylu, Evgeny Kharlamov:
Making Complex Ontologies End User Accessible via Ontology Projections. JIST 2018: 295-303 - [c79]Ahmet Soylu, Evgeny Kharlamov:
Navigating OWL 2 Ontologies Through Graph Projection. MTSR 2018: 113-119 - [c78]Vinh Thinh Ho, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov, Gerhard Weikum:
Learning Rules from Incomplete KGs using Embeddings. ISWC (P&D/Industry/BlueSky) 2018 - [c77]Vinh Thinh Ho, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov, Gerhard Weikum:
Rule Learning from Knowledge Graphs Guided by Embedding Models. ISWC (1) 2018: 72-90 - [c76]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding. ISWC (P&D/Industry/BlueSky) 2018 - 2017
- [j11]Ahmet Soylu, Martin Giese, Rudolf Schlatte, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Özgür L. Özçep, Christian Neuenstadt, Sebastian Brandt:
Querying industrial stream-temporal data: An ontology-based visual approach. J. Ambient Intell. Smart Environ. 9(1): 77-95 (2017) - [j10]Ahmet Soylu, Martin Giese, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Dmitriy Zheleznyakov, Ian Horrocks:
Ontology-based end-user visual query formulation: Why, what, who, how, and which? Univers. Access Inf. Soc. 16(2): 435-467 (2017) - [j9]Evgeny Kharlamov, Dag Hovland, Martin G. Skjæveland, Dimitris Bilidas, Ernesto Jiménez-Ruiz, Guohui Xiao, Ahmet Soylu, Davide Lanti, Martin Rezk, Dmitriy Zheleznyakov, Martin Giese, Hallstein Lie, Yannis E. Ioannidis, Yannis Kotidis, Manolis Koubarakis, Arild Waaler:
Ontology Based Data Access in Statoil. J. Web Semant. 44: 3-36 (2017) - [j8]Evgeny Kharlamov, Theofilos Mailis, Gulnar Mehdi, Christian Neuenstadt, Özgür L. Özçep, Mikhail Roshchin, Nina Solomakhina, Ahmet Soylu, Christoforos Svingos, Sebastian Brandt, Martin Giese, Yannis E. Ioannidis, Steffen Lamparter, Ralf Möller, Yannis Kotidis, Arild Waaler:
Semantic access to streaming and static data at Siemens. J. Web Semant. 44: 54-74 (2017) - [c75]Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks:
Trust-Sensitive Evolution of DL-Lite Knowledge Bases. AAAI 2017: 1266-1273 - [c74]Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen:
Towards Characterising Data Exchange Solutions in Open and Closed Words (Extended Abstract). AMW 2017 - [c73]Ognjen Savkovic, Evgeny Kharlamov, Werner Nutt, Pierre Senellart:
Towards Approximating Incomplete Queries over Partially Complete Databases (Extended Abstract). AMW 2017 - [c72]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
On event-driven knowledge graph completion in digital factories. IEEE BigData 2017: 1676-1681 - [c71]Gong Cheng, Evgeny Kharlamov:
Towards a semantic keyword search over industrial knowledge graphs (extended abstract). IEEE BigData 2017: 1698-1700 - [c70]Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Andriy Nikolov, Andreas Schwarte, Christian Heupel, Tim Kraska:
IncMap: A Journey towards Ontology-based Data Integration. BTW 2017: 145-164 - [c69]Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Rafael Peñaloza, Gulnar Mehdi, Mikhail Roshchin, Ian Horrocks:
Semantic Rules for Machine Diagnostics: Execution and Management. CIKM 2017: 2131-2134 - [c68]Evgeny Kharlamov, Luca Giacomelli, Evgeny Sherkhonov, Bernardo Cuenca Grau, Egor V. Kostylev, Ian Horrocks:
SemFacet: Making Hard Faceted Search Easier. CIKM 2017: 2475-2478 - [c67]