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Modern Ontology-Based Engineering (OBE) systems, built over the foundations of Knowledge-Based Engineering (KBE), leverage ontology-based technologies and the semantic web to capture and formalise knowledge holistically. This comprehensive knowledge repository can subsequently feed design and decision support tools with robust generative features. However, the integration and reuse of knowledge poses challenges for which it is necessary to develop appropriate methods and tools capable of handling diverse types of knowledge from both human experience and databases. The objective of this paper is to discuss the current limitations of OBE systems to address knowledge integration and reuse, based on the research and experiences of the authors in the aerospace manufacturing industry. This aims to provide a set of Research Questions (RQ) and the author's position to them, to serve as future research work and topics of discussion for the scientific community.

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A Framework for Ontology-Based Engineering Systems: Advances and Open Questions About Knowledge Capture and Use in Aerospace Manufacturing

  • 会议论文

  • 发表日期：

    2025年

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  • Fernando Mas,
  • Rebeca Arista,
  • Murillo Skrzek,
  • Manuel Oliva,
  • Domingo Morales-Palma,
  • Anderson Luis Szejka

摘要

Modern Ontology-Based Engineering (OBE) systems, built over the foundations of Knowledge-Based Engineering (KBE), leverage ontology-based technologies and the semantic web to capture and formalise knowledge holistically. This comprehensive knowledge repository can subsequently feed design and decision support tools with robust generative features. However, the integration and reuse of knowledge poses challenges for which it is necessary to develop appropriate methods and tools capable of handling diverse types of knowledge from both human experience and databases. The objective of this paper is to discuss the current limitations of OBE systems to address knowledge integration and reuse, based on the research and experiences of the authors in the aerospace manufacturing industry. This aims to provide a set of Research Questions (RQ) and the author's position to them, to serve as future research work and topics of discussion for the scientific community.