Towards Adaptive Manufacturing Systems - Knowledge and Knowledge Management Systems

Lanz, Minna; Järvenpää, Eeva; García, Félix Guillén; Luostarinen, Pasi; Tuokko, Reijo

doi:10.5772/36015

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, it is the upper-phase ontology steering the generation of a knowledge-oriented framework toward the industrial ontology foundry (IOF) (Smith, 2017). In addition, it has been popularly used for modeling knowledge of engineering design and manufacturing (Borgo et al , 2019; Lanz et al , 2012; Solano et al , 2014). Therefore, DOLCE is used as a reference architecture, but it is simplified and adjusted by the OWL ontology (mentioned in Section 4) to the language representation of the semantic web.…”

Section: Reviews Of Related Workmentioning

confidence: 99%

A knowledge with ontology representation for product life cycle to support eco-design activities

Liang

2021

JEDT

View full text Add to dashboard Cite

Purpose This study aims to develop a synthetic knowledge repository consisted of interrelated Web Ontology Language. Design/methodology/approach The ontology composes the main framework to categorize data of product life cycle with eco-design mode (PLC-EDM) and automatically infer specialists’ knowledge for data confirmation, eventually assisting the utilizations and generation of strategies toward decision-making Findings (i) utilization of a novel model with ontology mode for information reuse cross the different eco-design applications; (ii) generation of a sound platform toward life cycle evaluation; and (iii) implementation of the PLC-EDM model along the product generation process. Research limitations/implications It cannot substitute an evaluation tool of life cycle. Certainly, this model does not predict the “target and range” and/or the depiction of the “utility module” that are basic activities in life cycle assessments as characterized through the international organization for standardization regulations. Practical implications As portion of this framework, a prototype Web application is presented which is applied to produce, reuse and verify knowledge of product life cycle. Social implications By counting upon the ontology, the information conducted by the utilization is certainly semantically represented to promote the data sharing among various participants and tools. Besides, the data can be verified against possible faults by inferring over the ontology. Hence, a feasible way to a popular topic in the domain of eco-design applications extension in the industry. Originality/value The goals are: to lean on rigid modeling principles; and to promote the interoperability and diffusion of the ontology toward particular utilization demands.

show abstract

Section: Reviews Of Related Workmentioning

confidence: 99%