SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data

J  Yu; E  Reiter; J  Hunter; S  Sripada

SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data

J Yu, E Reiter, J Hunter, S Sripada

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

17 Citations (Scopus)

Abstract

SumTime-Turbine produces textual summaries of archived time-series data from gas turbines. These summaries should help experts understand large data sets that cannot be visually presented in a single graphical display. SumTime-Turbine is based on pattern detection, knowledge-based temporal abstraction (KBTA), and natural language generation (NLG) technology. A prototype version of the system has been implemented and is currently being evaluated.

Original language	English
Title of host publication	Developments in Applied Artificial Intelligence
Subtitle of host publication	International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings
Editors	Paul W. H. Chung, Chris Hinde, Moonis Ali
Place of Publication	Berlin, Germany
Publisher	Springer-Verlag
Pages	379-384
Number of pages	6
Volume	2718
ISBN (Print)	978-3-540-40455-2
Publication status	Published - 2003

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
ISSN (Print)	0302-9743

Keywords

ABSTRACTION

Cite this

Yu, J., Reiter, E., Hunter, J., & Sripada, S. (2003). SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data. In P. W. H. Chung, C. Hinde, & M. Ali (Eds.), Developments in Applied Artificial Intelligence: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings (Vol. 2718, pp. 379-384). (Lecture Notes in Computer Science). Springer-Verlag.

SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data. / Yu, J ; Reiter, E ; Hunter, J et al.
Developments in Applied Artificial Intelligence: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings. ed. / Paul W. H. Chung; Chris Hinde; Moonis Ali. Vol. 2718 Berlin, Germany: Springer-Verlag, 2003. p. 379-384 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Yu, J, Reiter, E, Hunter, J & Sripada, S 2003, SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data. in PWH Chung, C Hinde & M Ali (eds), Developments in Applied Artificial Intelligence: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings. vol. 2718, Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, pp. 379-384.

Yu J, Reiter E, Hunter J, Sripada S. SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data. In Chung PWH, Hinde C, Ali M, editors, Developments in Applied Artificial Intelligence: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings. Vol. 2718. Berlin, Germany: Springer-Verlag. 2003. p. 379-384. (Lecture Notes in Computer Science).

Yu, J ; Reiter, E ; Hunter, J et al. / SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data. Developments in Applied Artificial Intelligence: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings. editor / Paul W. H. Chung ; Chris Hinde ; Moonis Ali. Vol. 2718 Berlin, Germany : Springer-Verlag, 2003. pp. 379-384 (Lecture Notes in Computer Science).

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SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data

Abstract

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Keywords

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