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Related Experiment Video

Updated: Mar 8, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Improving automation standards via semantic modelling: Application to ISA88.

Canan Dombayci1, Javier Farreres2, Horacio Rodríguez2

  • 1Chemical Engineering Department, Universitat Politecnica de Catalunya, EEBE, Campus Diagonal Besòs. Eduard Maristany, 10-14 Barcelona 08019, Spain.

ISA Transactions
|February 1, 2017
PubMed
Summary

This study introduces a semi-automatic ontology construction methodology for technical documents to improve automation software development. It systematically checks document consistency and proposes guidelines for future technical standards.

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Area of Science:

  • Automation and Control Engineering
  • Computer Science
  • Information Science

Background:

  • Standardization is crucial for automation software, requiring efficient system modeling for extensibility, scalability, and reusability.
  • Current methods for developing domain ontologies from technical documents are being analyzed to improve consistency checking and formalization.

Purpose of the Study:

  • To develop and present a methodology for semi-automatic ontology construction from technical documents.
  • To systematically check and improve the consistency of technical documents.
  • To propose guidelines for formalizing conceptual models and writing future technical standards.

Main Methods:

  • A semi-automatic ontology construction methodology using linguistic techniques was developed.
  • The methodology was applied to the ISA88 Standard as a case study.
  • Three paradigms for domain ontology development from technical documents were discussed: state-of-the-art, an intermediate method, and a future paradigm.

Main Results:

  • A systematic method for checking technical document consistency was presented.
  • The application to the ISA88 Standard yielded insights into modeling and standardization for automation.
  • Guidelines for formalizing conceptual models and writing technical standards were proposed.

Conclusions:

  • The developed methodology supports the improvement of technical document consistency for automation software.
  • Sharing conceptual models is vital for developing robust automation software.
  • The study offers a systematic approach to consistency checking and proposes a future paradigm for ontology development.