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Developing a Provenance Warehouse for the Systematic Brain Informatics Study

Author

Listed:
  • Jianhui Chen

    (International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China)

  • Ning Zhong

    (International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China2Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City 371-0816, Japan)

  • Jianhua Feng

    (Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China)

Abstract

Aiming at the unstructured brain data and data-driven research process, provenances have become an important component of brain and health big data rather than the accessory of raw experimental data in the systematic Brain Informatics (BI) study. However, the existing file-based or transaction-database-based provenance queries cannot effectively support quickly understanding data and generating decisions or suppositions in the systematic BI study, which need multi-aspect and multi-granularity provenance information and a process of incremental modification. Inspired by studies on the data warehouse and online analytical processing (OLAP) technology, this paper proposes a BI provenance warehouse. The provenance cube and basic OLAP operations are defined. A complete Data-Brain-based development approach is also designed. Such a BI provenance warehouse represents a radically new way for developing the brain big data center, which regards raw experimental data, provenances and domain ontologies as different levels of brain big data for data sharing and mining.

Suggested Citation

  • Jianhui Chen & Ning Zhong & Jianhua Feng, 2017. "Developing a Provenance Warehouse for the Systematic Brain Informatics Study," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1581-1609, November.
    • Handle: RePEc:wsi:ijitdm:v:16:y:2017:i:06:n:s0219622015500418
    DOI: 10.1142/S0219622015500418
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    References listed on IDEAS

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    1. Dimitrios Skoutas & Alkis Simitsis, 2007. "Ontology-Based Conceptual Design of ETL Processes for Both Structured and Semi-Structured Data," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 3(4), pages 1-24, October.
    2. Ning Zhong, 2006. "Impending Brain Informatics Research From Web Intelligence Perspective," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 713-727.
    3. Yasser Hachaichi & Jamel Feki, 2013. "An Automatic Method For The Design Of Multidimensional Schemas From Object Oriented Databases," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(06), pages 1223-1259.
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