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KG-Buddhism: The Chinese Knowledge Graph on Buddhism

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Semantic Technology (JIST 2017)

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

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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.

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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)

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

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  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

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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
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  2. Cong Gao
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  3. Guilin Qi
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  4. Lei Zhang
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  5. Chuanqi Dong
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  6. He Liu
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  7. Du Zhang
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Corresponding author

Correspondence to Tianxing Wu .

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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

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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

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70681-8

  • Online ISBN: 978-3-319-70682-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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