Skip to main content
SpringerLink
Log in

KG-Buddhism: The Chinese Knowledge Graph on Buddhism

  • Conference paper
  • First Online:
Semantic Technology (JIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10675))

Included in the following conference series:

Abstract

One of the most important elements in human society is religion, which provides moralities to help regulate human behaviours. However, the Web lacks a specialized knowledge graph on religion. To facilitate religious knowledge sharing, we aim to build KG-Buddhism, i.e. the Chinese knowledge graph on Buddhism, which is the most widely spread religion in China. In this paper, we contribute to the development of the first version of KG-Buddhism, containing the knowledge of Buddhist figures and temples, extracted from existing encyclopedic knowledge graphs and unstructured Web text. KG-Buddhism is linked to DBpedia and can be accessed by our online API.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.kg-buddhism.com.

  2. 2.

    https://zh.wikipedia.org/.

  3. 3.

    https://baike.baidu.com/.

  4. 4.

    http://www.baike.com/.

  5. 5.

    http://fo.sina.com.cn/master/.

  6. 6.

    http://ddks.zgfj.cn/.

  7. 7.

    http://baike.foyuan.net/.

  8. 8.

    https://creativecommons.org/licenses/by-nc-sa/3.0/.

References

  1. Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., Van Kleef, P., Auer, S., et al.: Dbpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web 6(2), 167–195 (2015)

    Google Scholar 

  2. Mahdisoltani, F., Biega, J., Suchanek, F.: Yago3: a knowledge base from multilingual wikipedias. In: CIDR (2014)

    Google Scholar 

  3. Niu, X., Sun, X., Wang, H., Rong, S., Qi, G., Yu, Y.: Zhishi.me - weaving chinese linking open data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011. LNCS, vol. 7032, pp. 205–220. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25093-4_14

    Chapter  Google Scholar 

Download references

Acknowledgements

This work is supported in part by the National Natural Science Foundation of China (Grant No. 61672153), the 863 Program (Grant No. 2015AA015406), the Fundamental Research Funds for the Central Universities and the Research Innovation Program for College Graduates of Jiangsu Province (Grant No. KYLX16_0295).

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Southeast University, Nanjing, China

    Tianxing Wu, Cong Gao, Guilin Qi, Chuanqi Dong, He Liu & Du Zhang

  2. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Karlsruhe, Germany

    Lei Zhang

Authors
  1. Tianxing Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cong Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guilin Qi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chuanqi Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. He Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Du Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tianxing Wu .

Editor information

Editors and Affiliations

  1. Griffith University, Brisbane, Queensland, Australia

    Zhe Wang

  2. Dresden University of Technology, Dresden, Germany

    Anni-Yasmin Turhan

  3. Griffith University, Brisbane, Queensland, Australia

    Kewen Wang

  4. Tianjin University, Tianjin, China

    Xiaowang Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wu, T. et al. (2017). KG-Buddhism: The Chinese Knowledge Graph on Buddhism. In: Wang, Z., Turhan, AY., Wang, K., Zhang, X. (eds) Semantic Technology. JIST 2017. Lecture Notes in Computer Science(), vol 10675. Springer, Cham. https://doi.org/10.1007/978-3-319-70682-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70682-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70681-8

  • Online ISBN: 978-3-319-70682-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation