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TIDAQL: A Query Language Enabling On-line Analytical Processing of Time Interval Data

In: Automation, Communication and Cybernetics in Science and Engineering 2015/2016

Author

Listed:
  • Philipp Meisen

    (RWTH Aachen University, IMA/ZLW&IfU)

  • Diane Keng

    (Santa Clara University, School of Engineering)

  • Tobias Meisen

    (RWTH Aachen University, IMA/ZLW&IfU)

  • Marco Recchioni

    (Inform GmbH Aachen, Airport Devision)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW&IfU)

Abstract

Nowadays, time interval data is ubiquitous. The requirement of analyzing such data using known techniques like on-line analytical processing arises more and more frequently. Nevertheless, the usage of approved multidimensional models and established systems is not sufficient, because of modeling, querying and processing limitations. Even though recent research and requests from various types of industry indicate that the handling and analyzing of time interval data is an important task, a definition of a query language to enable on-line analytical processing and a suitable implementation are, to the best of our knowledge, neither introduced nor realized. In this paper, we present a query language based on requirements stated by business analysts from different domains that enables the analysis of time interval data in an on-line analytical manner. In addition, we introduce our query processing, established using a bitmap-based implementation. Finally, we present a performance analysis and discuss the language, the processing as well as the results critically.

Suggested Citation

  • Philipp Meisen & Diane Keng & Tobias Meisen & Marco Recchioni & Sabina Jeschke, 2016. "TIDAQL: A Query Language Enabling On-line Analytical Processing of Time Interval Data," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2015/2016, pages 549-573, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-42620-4_42
    DOI: 10.1007/978-3-319-42620-4_42
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