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

J Yu, E Reiter, J Hunter, S Sripada

Research output: Chapter in Book/Report/Conference proceedingChapter

14 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 languageEnglish
Title of host publicationDevelopments in Applied Artificial Intelligence
Subtitle of host publicationInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings
EditorsPaul W. H. Chung, Chris Hinde, Moonis Ali
Place of PublicationBerlin, Germany
PublisherSpringer-Verlag
Pages379-384
Number of pages6
Volume2718
ISBN (Print)978-3-540-40455-2
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
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.