Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [6 references]  Display  Hide  Download
Contributor : Hal Ifip <>
Submitted on : Thursday, December 19, 2019 - 1:17:53 PM
Last modification on : Thursday, December 19, 2019 - 1:46:16 PM
Long-term archiving on: : Friday, March 20, 2020 - 6:19:18 PM


 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document


Distributed under a Creative Commons Attribution 4.0 International License



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⟩



Record views