A Framework to Support Semantic Interoperability in Product Design and Manufacture

International Journal of Computer Integrated Manufacturing

et al. 2013

Self Cite

Section: Why Common Logic Is Neededmentioning

confidence: 99%

“…Neither representation is able to capture ternary relations or ontological functions (Chungoora, 2010). The need for these constructs within the manufacturing domain is demonstrated by the example manufacturing ontology (section 5 "Applying the Method to a Manufacturing Ontology").…”

Section: Why Common Logic Is Neededmentioning

confidence: 99%

Exploiting unified modelling language (UML) as a preliminary design tool for Common Logic-based ontologies in manufacturing

Palmer

International Journal of Computer Integrated Manufacturing

et al. 2013

Self Cite

“…This method of ensuring information sharing can be problematic in a number of ways since, e.g., multiple information viewpoints are required by design and manufacturing engineers [10,11]. Furthermore, engineers generally tend to have their own preferred terms that are confined to their specific problem domains and as such, alternative representations and definitions of concepts are inevitable [6].…”

Section: Traditional Approaches To Information Sharing In Plmmentioning

confidence: 99%

“…On the other hand, heavyweight ontologies, i.e. knowledge-based models, consist of both lightweight structures as well as formal axioms that support the definition of the semantics of terms used for computer-based knowledge representation [4,6]. Therefore, heavyweight (i.e., expressive) ontologies are preferred for ensuring greater confidence behind the meaning of formalised knowledge.…”

Section: Lightweight V/s Heavyweight Approachesmentioning

confidence: 99%

“…Various contributions have demonstrated that the semantic value of the captured knowledge is dependent on the expressiveness of the ontology language used [4,5,6]. In production engineering, heavyweight (i.e., expressive) ontologies are favoured [3,6,7] as they are accompanied with logic-based reasoning mechanisms which carefully prescribe the semantics, behaviour and conditions present within information structures. Expressive ontologies thus impart the ability to configure knowledge models for improved decision making [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extending product lifecycle management for manufacturing knowledge sharing

Gunendran

Proceedings of the Institution of Mechanical Engineers, Part B:

et al. 2012

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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An Exploration of Foundation Ontologies and Verification Methods for Manufacturing Knowledge Sharing

Interoperability for Enterprise Software and Applications

Usman

et al. 2013