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A Thesaurus-Guided Method for Smart Manufacturing Diagnostics

Abstract : The unstructured historical data available in the databases of Computerized Maintenance Management Systems represents a wealth of diagnostic knowledge. In this paper, a methodology for converting the maintenance log data into formal knowledge graphs is presented. The methodology uses text analytics techniques, in combination with human-assisted thesaurus development methods, for generating a formal thesaurus, or knowledge graph, that encodes the semantic relationships between multiple maintenance entities. The knowledge graph proposed in this work uses Simple Knowledge Organization System (SKOS) standard. A java-based tool is developed that uses the generated knowledge graph as the input and conducts light-weight reasoning to support smart maintenance diagnosis.
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https://hal.inria.fr/hal-02419266
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Submitted on : Thursday, December 19, 2019 - 1:17:53 PM
Last modification on : Thursday, December 19, 2019 - 1:46:16 PM
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Farhad Ameri, Reid Yoder. A Thesaurus-Guided Method for Smart Manufacturing Diagnostics. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.722-729, ⟨10.1007/978-3-030-30000-5_88⟩. ⟨hal-02419266⟩

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