Search Results - "Kharlamov, Evgeny"

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding by Zhou, Baifan, Pychynski, Tim, Reischl, Markus, Kharlamov, Evgeny, Mikut, Ralf

“…Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of manufacturing data. This opens new horizons for data-driven…”
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Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry by Yahya, Muhammad, Zhou, Baifan, Breslin, John G., Ali, Muhammad Intizar, Kharlamov, Evgeny

“…The ongoing industrial revolution termed Industry 4.0 (I4.0) has borne witness to a series of profound changes towards increasing smart automation,…”
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Link Prediction in Industrial Knowledge Graphs: A Case Study on Football Manufacturing by Yahya, Muhammad, Wahid, Abdul, Yang, Lan, Breslin, John G., Kharlamov, Evgeny, Intizar Ali, Muhammad

“…The integration of heterogeneous and unstructured data in Industry 4.0, poses a significant challenge, particularly with advanced manufacturing techniques. To…”
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On the distribution alignment of propagation in graph neural networks by Zheng, Qinkai, Xia, Xiao, Zhang, Kun, Kharlamov, Evgeny, Dong, Yuxiao

“…Graph neural networks (GNNs) have been widely adopted for modeling graph-structure data. Most existing GNN studies have focused on designing different…”
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Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking by Chen, Huajun, Deng, Shumin, Zhang, Wen, Xu, Zezhong, Li, Juan, Kharlamov, Evgeny

“…Knowledge graphs (KGs) express relationships between entity pairs, and many real-life problems can be formulated as knowledge graph reasoning (KGR)…”
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Increasing environmental compatibility of metal production by Sharapov, Rashid, Kharlamov, Evgeny, Yadykina, Valentina

“…Building materials production generates a large amount of harmful substances poisoning the atmosphere. One of the major sources polluting cities environment is…”
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Using Semantic Technology to Tame the Data Variety Challenge by Horrocks, Ian, Giese, Martin, Kharlamov, Evgeny, Waaler, Arild

“…Data analytics can be problematic in real-world settings, where data sources are often distributed, heterogeneous, and dynamic. Semantic technologies can now…”
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BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search by Wang, Xiaxia, Cheng, Gong, Pan, Jeff Z., Kharlamov, Evgeny, Qu, Yuzhong

“…The large volume of open data on the Web is expected to be reused and create value. Finding the right data to reuse is a non-trivial task addressed by the…”
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GCCAD: Graph Contrastive Coding for Anomaly Detection by Chen, Bo, Zhang, Jing, Zhang, Xiaokang, Dong, Yuxiao, Song, Jian, Zhang, Peng, Xu, Kaibo, Kharlamov, Evgeny, Tang, Jie

“…Graph-based anomaly detection has been widely used for detecting malicious activities in real-world applications. Existing attempts to address this problem…”
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Faceted search over RDF-based knowledge graphs by Arenas, Marcelo, Cuenca Grau, Bernardo, Kharlamov, Evgeny, Marciuška, Šarūnas, Zheleznyakov, Dmitriy

“…Knowledge graphs such as Yago and Freebase have become a powerful asset for enhancing search, and are being intensively used in both academia and industry…”
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Capturing model-based ontology evolution at the instance level: The case of DL-Lite by Kharlamov, Evgeny, Zheleznyakov, Dmitriy, Calvanese, Diego

“…Evolution of Knowledge Bases (KBs) expressed in Description Logics (DLs) has gained a lot of attention lately. Recent studies on the topic have mostly focused…”
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SemML: Facilitating development of ML models for condition monitoring with semantics by Zhou, Baifan, Svetashova, Yulia, Gusmao, Andre, Soylu, Ahmet, Cheng, Gong, Mikut, Ralf, Waaler, Arild, Kharlamov, Evgeny

“…Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as…”
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Knowledge graph embedding closed under composition by Zheng, Zhuoxun, Zhou, Baifan, Yang, Hui, Tan, Zhipeng, Sun, Zequn, Li, Chunnong, Waaler, Arild, Kharlamov, Evgeny, Soylu, Ahmet

“…Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among…”
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On expansion and contraction of DL-Lite knowledge bases by Zheleznyakov, Dmitriy, Kharlamov, Evgeny, Nutt, Werner, Calvanese, Diego

“…Knowledge bases (KBs) are not static entities: new information constantly appears and some of the previous knowledge becomes obsolete. In order to reflect this…”
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OAG: Linking Entities across Large-scale Heterogeneous Knowledge Graphs by Zhang, Fanjin, Liu, Xiao, Tang, Jie, Dong, Yuxiao, Yao, Peiran, Zhang, Jie, Gu, Xiaotao, Wang, Yan, Kharlamov, Evgeny, Shao, Bin, Li, Rui, Wang, Kuansan

“…Different knowledge graphs for the same domain are often uniquely housed on the Web. Effectively linking entities from different graphs is critical for…”
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Ontology Based Data Access in Statoil by Kharlamov, Evgeny, Hovland, Dag, Skjæveland, Martin G., Bilidas, Dimitris, Jiménez-Ruiz, Ernesto, Xiao, Guohui, Soylu, Ahmet, Lanti, Davide, Rezk, Martin, Zheleznyakov, Dmitriy, Giese, Martin, Lie, Hallstein, Ioannidis, Yannis, Kotidis, Yannis, Koubarakis, Manolis, Waaler, Arild

“…Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by…”
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GCCAD: Graph Contrastive Learning for Anomaly Detection by Chen, Bo, Zhang, Jing, Zhang, Xiaokang, Dong, Yuxiao, Song, Jian, Zhang, Peng, Xu, Kaibo, Kharlamov, Evgeny, Tang, Jie

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Big Data Pipelines on the Computing Continuum: Tapping the Dark Data by Roman, Dumitru, Prodan, Radu, Nikolov, Nikolay, Soylu, Ahmet, Matskin, Mihhail, Marrella, Andrea, Kimovski, Dragi, Elvesaeter, Brian, Simonet-Boulogne, Anthony, Ledakis, Giannis, Song, Hui, Leotta, Francesco, Kharlamov, Evgeny

“…The computing continuum enables new opportunities for managing big data pipelines concerning efficient management of heterogeneous and untrustworthy resources…”
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Semantic access to streaming and static data at Siemens by Kharlamov, Evgeny, Mailis, Theofilos, Mehdi, Gulnar, Neuenstadt, Christian, Özçep, Özgür, Roshchin, Mikhail, Solomakhina, Nina, Soylu, Ahmet, Svingos, Christoforos, Brandt, Sebastian, Giese, Martin, Ioannidis, Yannis, Lamparter, Steffen, Möller, Ralf, Kotidis, Yannis, Waaler, Arild

“…We present a description and analysis of the data access challenge in Siemens Energy. We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web…”
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Semantically-enhanced rule-based diagnostics for industrial Internet of Things: The SDRL language and case study for Siemens trains and turbines by Kharlamov, Evgeny, Mehdi, Gulnar, Savković, Ognjen, Xiao, Guohui, Kalaycı, Elem Güzel, Roshchin, Mikhail

“…An Industrial Internet of Things (IoT) is a network of intelligent industrial equipment such as trains and power generating turbines that collect and share…”
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