Evgeny Kharlamov

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 162

Top Venues

CoRR

CIKM

ISWC (Posters/Demos/Industry)

J. Web Semant.

Publications

Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR (2024)
Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov
Alleviating Over-Smoothing via Aggregation over Compact Manifolds. PAKDD (2) (2024)
Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD (2024)
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. CoRR (2024)
Muhammad Yahya, Abdul Wahid, Lan Yang, John G. Breslin, Evgeny Kharlamov, Muhammad Intizar Ali
Link Prediction in Industrial Knowledge Graphs: A Case Study on Football Manufacturing. IEEE Access 12 (2024)
Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng
ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. SIGIR (2024)
Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
Ontologies via Knowledge Graph Query Embedding Learning. CoRR (2024)
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. AAMAS (2024)
Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu
Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data. ESWC (1) (2024)
Dongzhuoran Zhou, Hui Yang, Bo Xiong, Yue Ma, Evgeny Kharlamov
Alleviating Over-Smoothing via Aggregation over Compact Manifolds. CoRR (2024)
Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. CoRR (2023)
Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. ISWC (2023)
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)
Zhipeng Tan, Zhuoxun Zheng, Antonis Klironomos, Mohamed H. Gad-Elrab, Guohui Xiao, Ahmet Soylu, Evgeny Kharlamov, Baifan Zhou
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring. ISWC (Posters/Demos/Industry) (2023)
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 (2023)
Zhuoxun Zheng, Ognjen Savkovic, Huu Phuc Luu, Ahmet Soylu, Evgeny Kharlamov, Baifan Zhou
Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration. ISWC (Posters/Demos/Industry) (2023)
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
Robust Knowledge Extraction from Large Language Models using Social Choice Theory. CoRR (2023)
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)
Cuong Chu Xuan, Mohamed H. Gad-Elrab, Trung-Kien Tran, Marvin Schiller, Evgeny Kharlamov, Daria Stepanova
Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming. ESWC (Satellite Events) (2023)
Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. CoRR (2023)
Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlán Grangel-González, Ahmet Soylu, Evgeny Kharlamov
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. ISWC (2023)
Diego Rincon-Yanez, Mohamed H. Gad-Elrab, Daria Stepanova, Kien-Trung Tran, Cuong Chu Xuan, Baifan Zhou, Evgeny Kharlamov
Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. CoRR (2023)
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab
Can Pattern Learning Enhance Complex Logical Query Answering? ISWC (Posters/Demos/Industry) (2023)
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, Steffen Staab
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. CoRR (2023)
Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR (2023)
Diego Rincon-Yanez, Mohamed H. Gad-Elrab, Daria Stepanova, Kien-Trung Tran, Cuong Chu Xuan, Baifan Zhou, Evgeny Kharlamov
Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. ESWC (Satellite Events) (2023)
Zhuoxun Zheng, Baifan Zhou, Zhipeng Tan, Ognjen Savkovic, Diego Rincon-Yanez, Nikolay Nikolov, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov
Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch. ISWC (Posters/Demos/Industry) (2023)
Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlán Grangel-González, Ahmet Soylu, Evgeny Kharlamov
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. CoRR (2023)
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. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. ESWC (Satellite Events) (2023)
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov
Towards Statistical Reasoning with Ontology Embeddings. ISWC (Posters/Demos/Industry) (2023)
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) (2023)
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)
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)
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) (2022)
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)
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
GRAND+: Scalable Graph Random Neural Networks. WWW (2022)
Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Evgeny Kharlamov
Towards a Visualisation Ontology for Data Analysis in Industrial Applications. SemIIM (2022)
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
GRAND+: Scalable Graph Random Neural Networks. CoRR (2022)
Yuanwei Qu, Baifan Zhou, Evgeny Kharlamov, Martin Giese
Industrial Geological Information Capture with GeoStructure Ontology. SemIIM (2022)
Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. CoRR (2022)
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)
Evgeny Kharlamov
Semantic Digital Twins: Trends and Shortcomings (Keynote). SeDiT@ESWC (2022)
Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. WWW (2022)
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)
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)
Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. CIKM (2022)
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)
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)
Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. CIKM (2022)
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 (2022)
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)
Qinkai Zheng, Xiao Xia, Kun Zhang, Evgeny Kharlamov, Yuxiao Dong
On the distribution alignment of propagation in graph neural networks. AI Open 3 (2022)
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)
Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Zhipeng Tan, Egor V. Kostylev, Evgeny Kharlamov
Towards Executable Knowledge Graph Translation. ISWC (Posters/Demos/Industry) (2022)
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 (2022)
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)
Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Ognjen Savkovic, Evgeny Kharlamov
Towards A Visualisation Ontology for Reusable Visual Analytics. IJCKG (2022)
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) (2022)
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 (2021)
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)
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)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
On Event-Driven Knowledge Graph Completion in Digital Factories. CoRR (2021)
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 (2021)
Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang
TDGIA: Effective Injection Attacks on Graph Neural Networks. CoRR (2021)
Theofilos Mailis, Yannis Kotidis, Stamatis Christoforidis, Evgeny Kharlamov, Yannis E. Ioannidis
View Selection over Knowledge Graphs in Triple Stores. Proc. VLDB Endow. 14 (13) (2021)
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)
Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. IJCAI (2021)
Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang
A Self-supervised Method for Entity Alignment. CoRR (2021)
Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang
TDGIA: Effective Injection Attacks on Graph Neural Networks. KDD (2021)
Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang
Adaptive Diffusion in Graph Neural Networks. NeurIPS (2021)
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)
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)
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)
Gong Cheng, Kalpa Gunaratna, Evgeny Kharlamov
Entity Summarization in Knowledge Graphs: Algorithms, Evaluation, and Applications. WWW (Companion Volume) (2020)
Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. IJCAI (2020)
Yuxuan Shi, Gong Cheng, Evgeny Kharlamov
Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. WWW (2020)
Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu
Entity Summarization with User Feedback. ESWC (2020)
Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. CoRR (2020)
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)
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)
Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese
On Expansion and Contraction of DL-Lite Knowledge Bases. CoRR (2020)
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)
Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. ICDT (2020)
Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen
Neural Entity Summarization with Joint Encoding and Weak Supervision. CoRR (2020)
Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov
SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing. ISWC (Demos/Industry) (2020)
Baifan Zhou, Yulia Svetashova, Tim Pychynski, Evgeny Kharlamov
Semantic ML for Manufacturing Monitoring at Bosch. ISWC (Demos/Industry) (2020)
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)
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)
Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. CoRR (2020)
Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov
SemFE: Facilitating ML Pipeline Development with Semantics. CIKM (2020)
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)
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)
Ognjen Savkovic, Evgeny Kharlamov, Steffen Lamparter
Validation of SHACL Constraints over KGs with OWL 2 QL Ontologies via Rewriting. ESWC (2019)
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 (2019)
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 (2019)
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) (2019)
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 (2019)
Theofilos Mailis, Yannis Kotidis, Vaggelis Nikolopoulos, Evgeny Kharlamov, Ian Horrocks, Yannis E. Ioannidis
An Efficient Index for RDF Query Containment. SIGMOD Conference (2019)

Evgeny Kharlamov.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Evgeny Kharlamov