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A Mixed Method for Building the Uyghur and Chinese Domain Ontology

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Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data (CCKS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 650))

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Abstract

The study of multilingual ontology on professional field is relatively rare, and a few of the many existing are about the public domain. This paper describes the mixed method for building a new multilingual ontology. By using the above mixed method, construct UC bilingual ontology about University Management field, through alignment and mapping the concepts and relations between the different language ontology then merging into one body - multilingual ontology. Finally, preliminary realized semantic query using SPARQL, so that can will provide basic support for minority languages cross-lingual retrieval from the perspective of the professional field.

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Acknowledgments

This work was supported by the National Social Science Foundation of China (13BYY062).

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Authors and Affiliations

  1. Institute of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China

    Yilahun Hankiz & Hamdulla Askar

  2. College of Politics and Public Administration, Xinjiang University, Urumqi, 830046, China

    Imam Seyyare

Authors
  1. Yilahun Hankiz
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  2. Imam Seyyare
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  3. Hamdulla Askar
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Corresponding author

Correspondence to Imam Seyyare .

Editor information

Editors and Affiliations

  1. Zhejiang University, Zhejiang, China

    Huajun Chen

  2. Rensselaer Polytechnic Institute, Troy, New York, USA

    Heng Ji

  3. Chinese Academy of Sciences, Beijing, China

    Le Sun

  4. Google Research, Mountain View, California, USA

    Haixun Wang

  5. Wuhan University, Wuhan, Hubei, China

    Tieyun Qian

  6. East China University of Science and Technology, Shanghai, China

    Tong Ruan

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© 2016 Springer Nature Singapore Pte Ltd.

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Hankiz, Y., Seyyare, I., Askar, H. (2016). A Mixed Method for Building the Uyghur and Chinese Domain Ontology. In: Chen, H., Ji, H., Sun, L., Wang, H., Qian, T., Ruan, T. (eds) Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data. CCKS 2016. Communications in Computer and Information Science, vol 650. Springer, Singapore. https://doi.org/10.1007/978-981-10-3168-7_13

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  • DOI: https://doi.org/10.1007/978-981-10-3168-7_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3167-0

  • Online ISBN: 978-981-10-3168-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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