2017
DOI: 10.1007/978-3-319-72905-3_50
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Engineering Knowledge Extraction for Semantic Interoperability Between CAD, KBE and PLM Systems

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Cited by 3 publications
(8 citation statements)
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“…Our approach to preserving design intent in CAD data exchange is to provide the missing information held by current static models. Using the MultiCAD API Manager proposed in [8] and the KAFA proposed in [17], engineering knowledge can be extracted from existing CAD models and experiential knowledge elicited from domain experts respectively. This information is then structured into an editable representation [8], [9] which can be interfaced by various authoring systems.…”
Section: Design Intent Formalization For Feature-based Parametric Cad Data Exchangementioning
confidence: 99%
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“…Our approach to preserving design intent in CAD data exchange is to provide the missing information held by current static models. Using the MultiCAD API Manager proposed in [8] and the KAFA proposed in [17], engineering knowledge can be extracted from existing CAD models and experiential knowledge elicited from domain experts respectively. This information is then structured into an editable representation [8], [9] which can be interfaced by various authoring systems.…”
Section: Design Intent Formalization For Feature-based Parametric Cad Data Exchangementioning
confidence: 99%
“…These are controlled by an inference mechanism based on functional requirements and experiential knowledge. This preservation mechanism is an integral part of a broader framework for the modeling of a high-level neutral representation of engineering knowledge for reuse in feature-based parametric modeling systems described in [8], [9]. A test case is presented to demonstrate the idea and as evidenced in the results, the methods proposed are effective for preserving design intent in CAD data translation and transformation.…”
Section: Introductionmentioning
confidence: 98%
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