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Domain knowledge graph-based research progress of knowledge representation

  • S.I. : DPTA Conference 2019
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Abstract

Domain knowledge graph has become a research topic in the era of artificial intelligence. Knowledge representation is the key step to construct domain knowledge graph. There have been quite a few well-established general knowledge graphs. However, there are still gaps on the domain knowledge graph construction. The research introduces the related concepts of the knowledge representation and analyzes knowledge representation of knowledge graphs by category, which includes some classical general knowledge graphs and several typical domain knowledge graphs. The paper also discusses the development of knowledge representation in accordance with the difference of entities, relationships and properties. It also presents the unsolved problems and future research trends in the knowledge representation of domain knowledge graph study.

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Acknowledgements

Teaching Reform Research Project of Undergraduate Colleges and Universities of Shandong Province (Z2016Z036), the Teaching Reform Research Project of Shandong University of Finance and Economics (jy2018062891470, jy201830, jy201810), Shandong Provincial Social Science Planning Research Project (18CHLJ08), Scientific Research Projects of Universities in Shandong Province (J18RA136), Youth Innovative on Science and Technology Project of Shandong Province (2019RWF013), SDUST Excellent Teaching Team Construction Plan (JXTD20160512 and JXTD20180510), Jinan campus of SDUST Excellent Teaching Team Construction Plan (JNJXTD201711), Teaching research project of Shandong University of Science and Technology (JNJG2017104), National Natural Science Foundation of China (61703243).

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Authors and Affiliations

  1. School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250000, China

    Jinjiao Lin, Yanze Zhao & Chunfang Liu

  2. School of Marxism, Shandong University of Finance and Economics, Jinan, 250000, China

    Weiyuan Huang

  3. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Jinan, 250000, China

    Haitao Pu

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  1. Jinjiao Lin
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Correspondence to Haitao Pu.

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Lin, J., Zhao, Y., Huang, W. et al. Domain knowledge graph-based research progress of knowledge representation. Neural Comput & Applic 33, 681–690 (2021). https://doi.org/10.1007/s00521-020-05057-5

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