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KG3D: An Interactive 3D Visualization Tool for Knowledge Graphs

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Advanced Data Mining and Applications (ADMA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11888))

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Abstract

With the emerge of knowledge graphs in different scales like DBpedia, YAGO, and WikiData, they have become the cornerstone to support many artificial intelligence tasks. However, it is difficult for end-users to query and understand those knowledge graphs consisting of hundreds of millions of nodes and edges. To help end-users better retrieve information from RDF data and explore the knowledge graph without SPARQL or knowing the relation types, we developed an interactive visual query tool, called KG3D, which can realize connection query and pattern matching. Our tool can view the knowledge graph in 3-dimensional space and automatically convert the query to the SPARQL statement. In this paper, we present the superiority of KG3D over other tools, discuss the design motivation, and demonstrate various use cases.

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Notes

  1. 1.

    GitHub repository: https://github.com/selenesoft/kg3d.

References

  1. Wang, X., Wang, J.: ProvRPQ: an interactive tool for provenance-aware regular path queries on RDF graphs. In: Cheema, M.A., Zhang, W., Chang, L. (eds.) ADC 2016. LNCS, vol. 9877, pp. 480–484. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46922-5_44

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  2. Yang, C., Wang, X., Xu, Q., Li, W.: SPARQLVis: an interactive visualization tool for knowledge graphs. In: Cai, Y., Ishikawa, Y., Xu, J. (eds.) APWeb-WAIM 2018. LNCS, vol. 10987, pp. 471–474. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-96890-2_41

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  3. Gómez-Romero, J., et al.: Visualizing large knowledge graphs: a performance analysis. Future Gener. Comput. Syst. 89, 224–238 (2018)

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Author information

Authors and Affiliations

  1. TechFantasy Co., Ltd., Tianjin, 300387, China

    Dawei Xu, Lin Wang, Dianquan Li, Jianpeng Duan & Yongzhe Jia

  2. College of Intelligence and Computing, Tianjin University, Tianjin, 300072, China

    Dawei Xu & Xin Wang

Authors
  1. Dawei Xu
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  2. Lin Wang
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  3. Xin Wang
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  4. Dianquan Li
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  5. Jianpeng Duan
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  6. Yongzhe Jia
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Corresponding author

Correspondence to Xin Wang .

Editor information

Editors and Affiliations

  1. Deakin University, Burwood, VIC, Australia

    Jianxin Li

  2. The University of Queensland, St. Lucia, QLD, Australia

    Sen Wang

  3. Flinders University, Bedford Park, SA, Australia

    Shaowen Qin

  4. Dalian Neusoft University of Information, Dalian, China

    Xue Li

  5. Beijing Institute of Technology, Beijing, China

    Shuliang Wang

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Xu, D., Wang, L., Wang, X., Li, D., Duan, J., Jia, Y. (2019). KG3D: An Interactive 3D Visualization Tool for Knowledge Graphs. In: Li, J., Wang, S., Qin, S., Li, X., Wang, S. (eds) Advanced Data Mining and Applications. ADMA 2019. Lecture Notes in Computer Science(), vol 11888. Springer, Cham. https://doi.org/10.1007/978-3-030-35231-8_67

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  • DOI: https://doi.org/10.1007/978-3-030-35231-8_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35230-1

  • Online ISBN: 978-3-030-35231-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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