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Construction of Visual Question and Answering System Based on Knowledge Graph for Specific Objects

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Proceedings of 2021 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 805))

Abstract

As China’s industry enters the 4.0 digital era, the segmentation of industrial applications is diversified. The knowledge of specific objects in the industrial scene is scattered that brings the pain points for management and operation. Knowledge graph (KG) has a powerful ability for relationship expression and real-time feedback that can integrate multi-source heterogeneous knowledge and provide data support for the Question Answering (Q&A) system. In this paper, a semi-automatic construction scheme for cupping machine knowledge graph is proposed and a visual Q&A system based on KG by the rule-based method is constructed. In the implementation of the KG, we design an ontology schema of the cupping machine and obtain entities and relationships from the network. This work solves the problem of the data island of cupping machines and provides a new technical method for the knowledge management of specific objects in the industrial equipment field.

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Acknowledgment

This work is supported by the Science and Technology Basic Resources Investigation Project (No. 2019FY101404), by the search of the data mining based on atmospheric corrosion map of power grid and research of service life evaluation technology for power grid equipment.

Author information

Authors and Affiliations

  1. Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Jiaxin Dai & Dongmei Fu

  2. Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China

    Lingwei Ma & Dawei Zhang

  3. National Materials Corrosion and Protection Data Center, University of Science and Technology Beijing, Beijing, 100083, China

    Lingwei Ma & Dawei Zhang

  4. Shunde Graduate School of University of Science and Technology Beijing, Fo Shan, 528300, China

    Dongmei Fu

Authors
  1. Jiaxin Dai
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  2. Lingwei Ma
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  3. Dongmei Fu
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  4. Dawei Zhang
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Corresponding authors

Correspondence to Dongmei Fu or Dawei Zhang .

Editor information

Editors and Affiliations

  1. School of Automatic Science and Electrical Engineering, Beihang University, Beijing, China

    Yingmin Jia

  2. School of Automation and Electrical Engineering, University of Science and Technology, Beijing, China

    Weicun Zhang

  3. School of Mechanical Engineering and Automation, Beihang University, Beijing, China

    Yongling Fu

  4. Beijing Institute of Precision Mechatronics and Controls, Beijing, China

    Zhiyuan Yu

  5. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, China

    Song Zheng

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Dai, J., Ma, L., Fu, D., Zhang, D. (2022). Construction of Visual Question and Answering System Based on Knowledge Graph for Specific Objects. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 805. Springer, Singapore. https://doi.org/10.1007/978-981-16-6320-8_77

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