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Constructing Provenance Cubes Based on Semantic Neuroimaging Data Provenances

  • Jianhui ChenEmail author
  • Jianhua Feng
  • Ning Zhong
  • Zhisheng Huang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 480)

Abstract

The systematic Brain Informatics (BI) study is a data-driven process and all decision-making and suppositions depend on the deep understanding of brain data. Aiming at unstructured brain data, semantic neuroimaging data provenances, called BI provenances, have been constructed to support the quick and comprehensive understanding about data origins and data processing. However, the existing file-based or transaction-database-based provenance queries cannot effectively meet the requirements of understanding data and generating decision or suppositions in the systematic study, which needs multi-aspect and multi-granularity information of provenances. Inspired by the online analytical processing (OLAP) system, this paper proposes provenance cubes to support multi-aspect and multi-granularity provenance queries. A Data-Brain based approach is also designed to develop a BI OLAP system based on provenances cubes. The case study demonstrates significance and usefulness of the proposed approach.

Keywords

Online Analytical Processing (OLAP) Provenance Queries OLAP System Brain Informatics (BI) Extract Provenance Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The work is supported by National Basic Research Program of China (2014CB744600), China Postdoctoral Science Foundation (2013M540096), International Science & Technology Cooperation Program of China (2013DFA32180), National Natural Science Foundation of China (61272345), Open Foundation of Key Laboratory of Multimedia and Intelligent Software (Beijing University of Technology), Beijing.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jianhui Chen
    • 1
    Email author
  • Jianhua Feng
    • 1
  • Ning Zhong
    • 2
    • 4
  • Zhisheng Huang
    • 3
    • 4
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  2. 2.Department of Life Science and InformaticsMaebashi Institute of TechnologyMaebashi-CityJapan
  3. 3.Department of Computer ScienceVrije University AmsterdamAmsterdamThe Netherlands
  4. 4.International WIC InstituteBeijing University of TechnologyBeijingChina

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