Core manufacturing ontology to model manufacturing operations and sequencing knowledge

Saha, Sattam; Li, W. D.; Usman, Zahid; Shah, Nazaraf

doi:10.1007/s11761-022-00355-3

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Book1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application

Gao,

Ren,

Cui

et al. 2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application

Gao,

Ren,

Cui

et al. 2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

Ontologies and knowledge representation in terminology: Present and future perspectives

Giacomini

2024

View full text Add to dashboard Cite

This contribution reflects on the current role of ontologies in terminology research and practice and their future role, especially with a view to the creation of fully digital terminographic resources. The very notion of (domain) ontology, its concept and term, is discussed, highlighting metaterminological differences and substantial ambiguities arising from the interdisciplinary contact between Ontology Engineering and Terminology. Major challenges in ontology building, e.g. subjectivity, are mentioned, also with respect to the distinction between realist and non-realist ontologies and their relevance in Terminology. In addition, this contribution presents some examples of terminology resources with a distinct ontological component, showing a diversity of approaches depending on the purpose of the resource and its scope. In this context, more specific topics are addressed, such as the acquisition of ontological data and suitable formats and models for representing domain knowledge. The contribution ends with a vision of the integration of complex concept systems such as ontologies in future terminology work: here, the development of models based on terminology-specific requirements and typical users will be fundamental.

show abstract

Core manufacturing ontology to model manufacturing operations and sequencing knowledge

Cited by 2 publications

References 28 publications

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application

Ontologies and knowledge representation in terminology: Present and future perspectives

Contact Info

Product

Resources

About