Exploring Semantic Web technologies for ontology-based modeling in collaborative engineering design

Zhang, W. Y.; Yin, J.W.

doi:10.1007/s00170-006-0896-5

Cited by 50 publications

(19 citation statements)

References 11 publications

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“…Their work has solved the challenge of semantic transmission between products, software and designers. Zhang et al [215] proposed an ontology-based modelling frame that evolves along five consecutive layers: knowledge elicitation, product modelling, ontology modelling, knowledge reuse, and knowledge application layers, to facilitate knowledge searching and sharing on the semantic web. Wang et al [195] presented an RDFbased knowledge model to realize the knowledge representation on semantic web for design innovation.…”

Section: Semantic Webmentioning

confidence: 99%

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Automating design with intelligent human–machine integration

et al. 2015

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Section: Semantic Webmentioning

confidence: 99%

“…10. In this scheme, diverse knowledge assets are wrapped as ontologybased web services in order to facilitate knowledge consumption, reuse and supply on the Semantic Web [215].…”

Section: Semantic Webmentioning

confidence: 99%

Automating design with intelligent human–machine integration

et al. 2015

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“…Brandt et al (2007) applied ontologies to knowledge management in design processes with the aim of making knowledge of the design processes understandable and accessible to all engineers. Zhang and Yin (2007) made an attempt at applying ontologies in a multi-agent distributed design environment. Suh et al (2008) used ontologies for interoperability and presented a model for using data of the entire life of the products as an input for the design and production of new products.…”

Section: Kiritsismentioning

confidence: 99%

Semantic technologies for engineering asset life cycle management

Kiritsis

2013

International Journal of Production Research

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The use of semantic technologies and ontologies is becoming more and more popular in engineering applications and particularly in product modelling. Still, the use is limited in academia and applications are of a small scale. In this paper we present the research work done by the closed-loop life cycle management (CL2M) team of the Laboratory for Computer-Aided Design and Production (LICP) at the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland, on the use of ontology-based technologies for the life cycle management of products and engineering assets. This research has been performed through a number of PhD works partially financed by the European Framework Program for research. It aims at providing both a wider understanding of the benefits of applying such technologies in the complex environment of asset life cycle management (ALM) and at providing a platform for implementing ontology models in industrial environments.

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“…Brandt et al [16] apply ontologies on to knowledge management in design processes with the aim of making knowledge of the design processes understandable and accessible to all engineers. Zhang and Yin [17] make an attempt of applying ontologies in a multi-agent distributed design environment. Suh et al [18] use ontologies for interoperability and present a model for using data of the entire life of the products as an input for the design and production of new products.…”

Section: Background Work On Plmmentioning

confidence: 99%