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Application of an Intelligent System Framework and the Semantic Web for the CO2 Capture Process

  • Chuansan Luo
  • Qing Zhou
  • Christine W. ChanEmail author
Conference paper

Abstract

This chapter describes how an implemented domain ontology provides the semantic foundation of an intelligent system framework in the domain of carbon dioxide capture process. The developed ontology has been implemented in the Knowledge Modeling System (KMS), which stores knowledge in the XML format. The intelligent system can process this XML schema to support construction of different solution application for the domain. As a sample application, an expert system for monitoring and control of the CO2 capture process operating at the International Test Centre for carbon Dioxide Capture (ITC) located on the campus of University of Regina in Saskatchewan, Canada is presented.

Keywords

Semantic Knowledge Capture Process Knowledge Element Task Knowledge Solution Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer US 2010

Authors and Affiliations

  1. 1.Energy Informatics LaboratoryFaculty of Engineering University of ReginaReginaCanada

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