Skip to main content

Visual Query Specification and Interaction with Industrial Engineering Data

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8034))

Abstract

Nowadays, industrial engineering environments are typically characterized by sensors which stream massive amounts of different types of data. It is often difficult for industrial engineers to query, interact with, and interpret the data. In order to process many different kinds of distributed data stream sources originating from different kinds of data sources, a distributed federated data stream management system (FDSMS) is necessary. Although there exist some research efforts aimed at providing visual interfaces for querying temporal and real time data, there is virtually no existing work that provides a visual query specification and interaction interface that directly corresponds to a distributed federated data stream management system. This paper describes a visual environment that supports users in visually specifying queries and interacting with industrial engineering data. The visual environment comprises: a visual query specification and interaction environment, and a corresponding visual query language that runs on top of a distributed FDSMS.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baldonado, M., Chang, C.-C.K., Gravano, L., Paepcke, A.: The Stanford Digital Library Metadata Architecture. Int. J. Digit. Libr. 1, 108–121 (1997)

    Article  Google Scholar 

  2. Haigh, K.Z., Foslien, W., Guralnik, V.: Visual Query Language: Finding Patterns in and Relationships Among Time Series Data. In: Proc. 7th Workshop on Mining Scientific and Engineering Datasets (2004)

    Google Scholar 

  3. Dionisio, J.D.N., Cárdenas, A.F.: MQuery: A Visual Query Language for Multimedia, Timeline and Simulation Data. Journal of Visual Languages & Computing 7(4), 377–401 (1996)

    Article  Google Scholar 

  4. Zeitler, E., Risch, T.: Massive Scale-out of Expensive Continuous Queries. In: Proc. VLDB (2011)

    Google Scholar 

  5. SmartVortex Project, http://www.smartvortex.eu/

  6. Zloof, M.M.: Query by Example. In: Proc. National Computer Conference, vol. 44, pp. 431–438. AFIPS Press (1975)

    Google Scholar 

  7. Catarci, T., Costabile, M.F., Levialdi, S., Batini, C.: Visual Query Systems for Databases: A Survey. Journal of Visual Languages and Computing 8(2), 215–260 (1997)

    Article  Google Scholar 

  8. Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Motwani, R., Srivastava, U., Widom, J.: STREAM: The Stanford Data Stream Management System. Tech. Report. Stanford InfoLab, http://infolab.stanford.edu/~usriv/papers/streambook.pdf

  9. StreamBase home page, http://www.streambase.com/

  10. Abadi, D.J., Carney, D., Cetintemel, U., Cherniack, M., Convey, C., Lee, S., Stonebraker, M., Tatbul, N., Zdonik, S.: Aurora: a new model and architecture for data stream management. VLDB Journal 12(2), 120–139 (2003)

    Article  Google Scholar 

  11. ISO/IEC: Human-Centred Design Processes for Interactive Systems (1999)

    Google Scholar 

  12. Uraikul, V., Chan, C.W., Tontiwachwunthikul, P.: An Integrated Framework for Intelligent Monitoring, Diagnosis and Supervisory Control of Processes. In: IEEE Canadian Conference on Electrical and Computer Engineering, pp. 653–656 (2005)

    Google Scholar 

  13. Nielsen, J.: Heuristic evaluation. In: Nielsen, J., Mack, R.L. (eds.) Usability Inspection Methods. John Wiley & Sons, New York (1994)

    Google Scholar 

  14. Kimani, S., Leva, M., Mecella, M., Catarci, T.: Visualization of Multidimensional Sensor Data in Industrial Engineering. In: Proc. Information Visualisation 2013. IEEE (to appear, 2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Malagoli, A. et al. (2013). Visual Query Specification and Interaction with Industrial Engineering Data. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, vol 8034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41939-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41939-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41938-6

  • Online ISBN: 978-3-642-41939-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics