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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICPCSEE 2019: Data Science pp 124–136Cite as

Oracle Bone Inscriptions Big Knowledge Management and Service Platform

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1058))

Abstract

Oracle bone inscriptions (OBI) has important historical and cultural values. The traditional OBI research methods are at a choke point, and the research method using computer science and information technology has opened up the way of OBI information processing. However, it faces some problems, such as large but not centralized knowledge system, long learning cycle, learning difficulties, being difficult to obtain resources, inconsistent format, low retrieval accuracy, and low knowledge sharing and reuse. To solve these problems, it designs an OBI big data research resource management and intelligent knowledge service platform. Its goal is to make full use of OBI big data characteristics and use the knowledge engineering technology to build an OBI knowledge ecosystem. The experiment results show that the platform proposed provides effective one-stop knowledge management and knowledge service.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (No. U1504612, 61806007, U1804153), the National Language Committee scientific research projects of China (No. YWZ-J023, YB135-50), the Development Projects of Henan Province Science and Technology (No. 182102310039), the Science and Technology Key Project of Henan Province Education Department (No. 17A520002).

Author information

Authors and Affiliations

  1. Anyang Normal University, Anyang, 455000, Henan, China

    Jing Xiong, Qingju Jiao, Guoying Liu & Yongge Liu

  2. Key Laboratory of OBI Information Processing, Ministry of Education, Anyang, 455000, Henan, China

    Jing Xiong, Qingju Jiao & Guoying Liu

  3. Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province, Anyang, 455000, Henan, China

    Yongge Liu

Authors
  1. Jing Xiong
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  2. Qingju Jiao
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  3. Guoying Liu
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  4. Yongge Liu
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Corresponding author

Correspondence to Jing Xiong .

Editor information

Editors and Affiliations

  1. Guilin University of Technology, Guilin, China

    Xiaohui Cheng

  2. Northeast Forestry University, Harbin, China

    Weipeng Jing

  3. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  4. National Academy of Guo Ding Institute of Data Science, Harbin, China

    Zeguang Lu

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Cite this paper

Xiong, J., Jiao, Q., Liu, G., Liu, Y. (2019). Oracle Bone Inscriptions Big Knowledge Management and Service Platform. In: Cheng, X., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-15-0118-0_10

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  • DOI: https://doi.org/10.1007/978-981-15-0118-0_10

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0117-3

  • Online ISBN: 978-981-15-0118-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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