An ontology for assembly representation

Fiorentini, Xenia; Gambino, Iacopo; Liang, Vei-Chung; Rachuri, Sudarsan; Mani, Mahesh; Bock, Conrad

doi:10.6028/nist.ir.7436

Cited by 56 publications

(27 citation statements)

References 5 publications

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“…Earlier work [5,19,20] has shown that the shift towards ontology-based approaches can start to support the capture of semantics of product data and various types of product features. A wider appreciation of PLM coupled with knowledge-based approaches appears in more recent efforts.…”

Section: Combined Plm and Knowledge-based Approachesmentioning

confidence: 99%

“…It has been shown that OWL is limited in representing complex manufacturing constraints and process semantics [3,6]. Furthermore, although some efforts have utilised OWL with rule languages [20,27], these rule languages do not benefit from full first order logic constructs. They, therefore, fall short of the required expressive power and reasoning mechanisms to accurately encode and infer over PLM subject matter.…”

Section: Combined Plm and Knowledge-based Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Extending product lifecycle management for manufacturing knowledge sharing

Chungoora

Gunendran

Young

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part B:

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Product lifecycle management provides a framework for information sharing that promotes various types of decision-making procedures. For product lifecycle management to advance towards knowledge-driven decision support, then this demands more than simply exchanging information. There is, therefore, a need to formally capture best practice through-life engineering knowledge that can be fed back across the product lifecycle. This article investigates the interoperable manufacturing knowledge systems concept. Interoperable manufacturing knowledge systems use an expressive ontological approach that drives the improved configuration of product lifecycle management systems for manufacturing knowledge sharing. An ontology of relevant core product lifecycle concepts is identified from which viewpoint-specific domains, such as design and manufacture, can be formalised. Essential ontology-based mechanisms are accommodated to support the verification and sharing of manufacturing knowledge across domains. The work has been experimentally assessed using an aerospace compressor disc design and manufacture example. While it has been demonstrated that the approach supports the representation of disparate design and manufacture perspectives as well as manufacturing knowledge feedback in a timely manner, areas for improvement have also been identified for future work.

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Section: Combined Plm and Knowledge-based Approachesmentioning

confidence: 99%

Section: Combined Plm and Knowledge-based Approachesmentioning

confidence: 99%

Extending product lifecycle management for manufacturing knowledge sharing

Chungoora

Gunendran

Young

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…The most famous one is defined by Gruber--"Ontology is a description of the concept of shared conceptualization" [2]. Ontology is studied and applied in many aspects, such as geographical area [3], biological and medical field [4][5], assembling process domain [6][7], service area [1] and so on.…”

Section: Related Workmentioning

confidence: 99%

A Knowledge Modeling Method for Computer Graphics Design & Production Based on Ontology

et al. 2017

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Abstract. As one of the most critical stages of CG (Computer Graphics) industry, CG design & production needs the support of professional knowledge and practice experience of multidisciplinary. With the outstanding performance in knowledge sharing, integration and reuse, knowledge modeling could increase greatly the efficiency, reduce the cost and avoid repeated error in CG design & production.However, knowledge modeling of CG design & production differs greatly from those of other fields. On the one hand, it is similar to physical product design, which involves great deal of tacit knowledge such as modeling skills, reasoning knowledge and so on. On the other hand, as film, CG design & production needs a lot of unstructured description information. The heterogeneity between physical product and film makes knowledge modeling more complicated. Thus a systematic knowledge modelling method based on Ontology is proposed to aid CG design & production in this paper. CG animation knowledge is capture and organized from viewpoint of three aspects: requirements and design and production. The knowledge are categorized into static and dynamic knowledge, and Ontology is adopted to construct a hierarchic model to organize the knowledge, so as to offer a uniform communication semantic foundations for designers from different fields. Based on animation script, the CG design task model is proposed to drive the organization and management of different knowledge involved in CG design & production. Finally, we apply this method in the knowledge modeling of naked-eye animation design and production to illustrate effectiveness of this method.

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“…To make the UML model [38] computer-interpretable, Fiorentini et al [47] presented a web ontology language (OWL) [74] ontology version of the model. They also introduced the semantic web rule language (SWRL) [75] to the ontology and implemented the automatic reasoning on the ontology supported by OWL and SWRL.…”

Section: Ontology-based Modelmentioning

confidence: 99%

“…Currently, the representation model used in industry is the EXPRESS model [29][30][31], while at the same time, other representation models, such as surface graph model [32][33][34], representational primitive model [35,36], technologically and topologically related surface (TTRS) model [37], unified modeling language (UML) model [38], extensive markup language (XML) model [39], category theory model [40][41][42][43], GeoSpelling model [44], relationship model [45,46], and ontology-based model [47][48][49][50], have been presented within the academia. The coexistence of different kinds of representation models triggers a series of questions and discussions within the academia and the industry.…”

Section: Introductionmentioning

confidence: 99%

A review of representation models of tolerance information

Qin

et al. 2017

Int J Adv Manuf Technol

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A good representation model of tolerance information is indispensable for achieving computer-aided tolerancing. Currently, the representation model used in industry is the EXPRESS model, while at the same time, a number of other kinds of representation models have been presented within the academia. The coexistence of different kinds of representation models generates a series of questions and discussions: can the EXPRESS model completely implement the representation of tolerance information semantics in an explicit, computer-readable, and computer-interpretable way? What challenges have been addressed to date by the presented representation models? What are the advantages and disadvantages of each representation model? What capabilities should an ideal representation model have? What are the potential research directions in tolerance information representation in the future? To approach these questions, a review of representation models of tolerance information is presented in this paper. An in-depth analysis of existing representation models is firstly provided. Then, the review makes a detailed comparison among them based on this analysis. Finally, some future research directions in tolerance information representation are suggested.

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An ontology for assembly representation

Cited by 56 publications

References 5 publications

Extending product lifecycle management for manufacturing knowledge sharing

Extending product lifecycle management for manufacturing knowledge sharing

A Knowledge Modeling Method for Computer Graphics Design & Production Based on Ontology

A review of representation models of tolerance information

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