@article{902,
  author = {N. Dendani, Med. Khadir, S. Guessoum},
  title = {Case retrieval in CBR Systems Based on a Domain Ontology for Fault Diagnosis ofSteam Turbines},
  journal = {International Journal of Computational Linguistics Research},
  year = {2011},
  volume = {2},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jcl/fulltext/v2n3_4/3.pdf},
  abstract = {The maintenance of industrial systems is crucial for productivity, products quality and supplied services. Numerouscomputer systems are therefore developed for the task and must, in most cases, collaborate with each other. In the light of thisstatement, our work aims at realizing a system which consists in gathering the knowledge and the know-how in the field of faultdiagnosis for steam turbines, by the construction of domain ontology. In order to better exploit the ontology and reason usingits classes, sub-classes and instances a Case Based Reasoning (CBR) paradigm is chosen, as it offers an ideal solution fordiagnostic of real application systems. The paper, therefore, presents a current work which has for objective to develop a CBRapplication for fault diagnosis based on ontology, by using the API JColibri.},
}