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.
|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|
|Number of pages||6|
|Publication status||Published - 2003|
|Name||Lecture Notes in Computer Science|