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SimbaQL: A Query Language for Multi-source Heterogeneous Data

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Big Scientific Data Management (BigSDM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11473))

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Abstract

In a data-driven era, scientific discovery by querying integrated heterogeneous data is becoming a popular approach. However, most current search engines retrieve data using SQL, which only addresses part of the common data processing use cases in data discovery for scientific research. Besides, the expressive power of SQL and other popular languages can’t describe some simple but useful second order logic queries. Therefore, we first proposed an abstract data processing model which contains four components: data set, data source, data model, and analysis tool. Then, we introduced a unified data model and SimbaQL query language to describe the steps of data processing. At last, we studied two cases by describing the data processing using SimbaQL, and it turns out that SimbaQL can describe these tasks properly.

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Author information

Authors and Affiliations

  1. Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China

    Yuepeng Li, Zhihong Shen & Jianhui Li

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Yuepeng Li

Authors
  1. Yuepeng Li
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  2. Zhihong Shen
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  3. Jianhui Li
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Corresponding author

Correspondence to Jianhui Li .

Editor information

Editors and Affiliations

  1. CNIC, CAS, Beijing, China

    Jianhui Li

  2. Renmin University of China, Beijing, China

    Xiaofeng Meng

  3. Centrum Wiskunde and Informatica, Amsterdam, The Netherlands

    Ying Zhang

  4. CNIC, CAS, Beijing, China

    Wenjuan Cui

  5. Tsinghua University, Beijing, China

    Zhihui Du

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Li, Y., Shen, Z., Li, J. (2019). SimbaQL: A Query Language for Multi-source Heterogeneous Data. In: Li, J., Meng, X., Zhang, Y., Cui, W., Du, Z. (eds) Big Scientific Data Management. BigSDM 2018. Lecture Notes in Computer Science(), vol 11473. Springer, Cham. https://doi.org/10.1007/978-3-030-28061-1_27

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  • DOI: https://doi.org/10.1007/978-3-030-28061-1_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28060-4

  • Online ISBN: 978-3-030-28061-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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