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This paper proposes a methodology for knowledge representation using ontology concepts. We employ an ontology-based schema to overcome the problems of heterogeneity and inconsistency in maintenance records, which are attributable to abbreviations, noisy data, nongeneric data structures, and ambiguous technical words in textual maintenance records. Our methodology employs a bond graph model (BGM) to produce a function structure of equipment related to fault propagation in part-component levels. Our method combines OWL-Lite/RDF and the ISO 14224 and ISO 15926 international standards in order to obtain a generic system-level representation model. Our approach also constructs transparent cause-effect knowledge, which facilitates interpretation and computer conversion using ISO 14224 and ISO 15926. The web ontology language (OWL) and resource description framework (RDF) are used …