A Platform Providing Information Provision in Engineering

Lentes, Joachim; Eckstein, Holger; Zimmermann, Nikolas

doi:10.3182/20130619-3-ru-3018.00525

Cited by 2 publications

(2 citation statements)

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“…Further input we used during the development of the software solution and its underlying ontological data model were, among others, an ontology for engineering mathematics (Gruber and Olsen, 1994), work concerned with the area of design in the PLC (Bernard et al, 2014) and with the digital factory (Kádár et al, 2013;Efthymiou et al, 2015). The principal applicability of ontology-based approaches to PLM as in the platform amePLM has been shown by Lentes et al (2013) and Bruno et al (2014), but there still is a potential for improvement in automated information provision in PLM to reduce manual efforts for information management and retrieval.…”

Section: Introductionmentioning

confidence: 99%

Efficient management of product lifecycle information through a semantic platform

Bruno

Korf

Lentes

et al. 2016

IJPLM

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Products generate a large amount of information during their lifecycle. Small and medium enterprises often lack an efficient management of such an amount of information. Several tools of product lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integration of data is realised with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular structure, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported.

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Section: Introductionmentioning

confidence: 99%

Efficient management of product lifecycle information through a semantic platform

Bruno

Korf

Lentes

et al. 2016

IJPLM

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show abstract

“…So, the principal applicability of ontology-based approaches to PLM as in the platform amePLM (cf. [8]) has been shown, but there still is a potential for improvement in automated information provision in PLM to reduce manual efforts for information management and retrieval.…”

Section: Introductionmentioning

confidence: 99%

Exploitation of a Semantic Platform to Store and Reuse PLM Knowledge

Bruno

Antonelli

Korf

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Products generate a large amount of information during their lifecy-cles. Small and medium enterprises are often not structured enough to enable the efficient management of such amount of information. Several tools of prod-uct lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integra-tion of data is realized with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular struc-ture, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported

show abstract

A Platform Providing Information Provision in Engineering

Cited by 2 publications

References 12 publications

Efficient management of product lifecycle information through a semantic platform

Efficient management of product lifecycle information through a semantic platform

Exploitation of a Semantic Platform to Store and Reuse PLM Knowledge

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