Manufacturing Ontologies for the Aerospace Industry
A special issue of Aerospace (ISSN 2226-4310).
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 1277
Special Issue Editor
2. Research Fellow at University of Sevilla, 41004 Sevilla, Spain
Interests: model-based engineering (MBE); product lifecycle management (PLM); digital twin (DT); virtual engineering and manufacturing; digital factory; knowledge-based engineering (KBE); aerospace
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Special Issue Information
Dear Colleagues,
The need to reduce time-to-market and cost led the aerospace industry to search for disruptive digital methodologies, procedures, and tools in order to deal with the increasing complexity.
Interoperability is a challenge for production systems, in particular for the aerospace industry. Advanced technology called ontologies has been proven to be an effective tool for achieving interoperability in several domains, such as finance, linguistic or biomedical. Ontologies can provide both a terminology base and interpretations of natural language for a domain of application. Ontologies have also demonstrated values in knowledge discovery of the behaviors and data model definition.
The goal for this Special Issue is to provide a venue to showcase manufacturing ontologies for the aerospace industry and ontology research for manufacturing. We are particularly interested in empirical papers which aim to explore or demonstrate the benefits of ontologies, or of some techniques or tooling which support the development of ontologies. In addition to standard research papers, we welcome the submission of case studies and ontologies of application descriptions.
Topics of interest include (but are not limited to):
Manufacturing ontologies research methodology
Manufacturing ontologies methodologies
Ontology visualization
Collaborative ontology practices
Ontology workflows
Document-based ontology for manufacturing
Continuous integration for ontology engineering
Ontology testing and validation
Ontology lifecycle versioning, change, and evolution
Manufacturing ontologies case studies
Agile practices in manufacturing ontologies
Problems and challenges of reusing ontologies
Application of software techniques to manufacturing ontologies
Prof. Dr. Fernando MAS
Guest Editor
Manuscript Submission Information
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