Blar i ODA Open Digital Archive på forfatter "Zheng, Zhuoxun"

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    • Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration 

      Zheng, Zhuoxun; Savkovic, Ognjen; Phuc Luu, Huu; Soylu, Ahmet; Kharlamov, Evgeny; Zhou, Baifan (Peer reviewed; Journal article, 2023)
      Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges. In that context, distributed computing solutions such as cloud systems are ...

    • Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.

    • Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object, 2022)
      With the development of Industry 4.0 technology, modern industries such as Bosch’s welding monitoring witnessed the rapid widespread of machine learning (ML) based data analytical applications, which in the case of welding ...

    • Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring 

      Tan, Zhipeng; Zheng, Zhuoxun; Klironomos, Antonis; Gad-Elrab, Mohamed H.; Xiao, Guohui; Soylu, Ahmet; Kharlamov, Evgeny; Zhou, Baifan (Peer reviewed; Journal article, 2023)
      Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ...

    • Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case 

      Tan, Zhipeng; Zhou, Baifan; Zheng, Zhuoxun; Savkovic, Ognjen; Huang, Ziqiang; Gonzalez, Irlan-Grangel; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ...

    • Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as the data format and ontologies as the ...

    • Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case 

      Zhou, Baifan; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that context, distributed computing solutions such ...

    • ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Savkovic, Ognjen; Kostylev, Egor; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object, 2022)
      Automatic knowledge graph (KG) construction is widely used for e.g. data integration, question answering and semantic search. There are many approaches of automatic KG construction. Among which, an important approach is ...

    • Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch 

      Zheng, Zhuoxun; Zhou, Baifan; Tan, Zhipeng; Savkovic, Ognjen; Rincon-Yanez, Diego; Nikolov, Nikolay Vladimirov; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny (Peer reviewed; Journal article, 2023)
      Background and Challenges. Industry 4.0 focuses on smart factories that rely on IoT tech- nology for automation. This produces massive amounts of production data, increasing the demand for data-driven solutions and cloud ...

    • Towards a Visualisation Ontology for Data Analysis in Industrial Applications 

      Zheng, Zhuoxun; Zhou, Baifan; Soylu, Ahmet; Kharlamov, Evgeny (Peer reviewed; Journal article, 2022)