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A Semantic Product Modeling Framework and Its Application for Behavior Evaluation

Published

Author(s)

Jae H. Lee, Steven J. Fenves, Conrad E. Bock, Sudarsan Rachuri, Hyo-Won Suh, Xenia Fiorentini, Ram D. Sriram

Abstract

Supporting different stakeholder viewpoints across the product’s entire lifecycle requires semantic richness to represent product related information and thus enable multi-view engineering simulations. This paper proposes a multi-level product modeling framework enabling stakeholders to define product models and relate them to physical or simulated instances. The framework is defined within the Model Driven Architecture using the multi-level (data, model, meta-model) approach. The data level represents real world products, the model level describes models (product models) of real world products, and the meta-model level describes models of the product models. The meta-model defined in this paper is specialized from a web ontology language enabling product designers to express the semantics of product models in an engineering-friendly way. The interactions between these three levels are described to show how each level in the framework is used in a product engineering context. A product design scenario and user interface for the product meta-model is provided for further understanding of the framework.
Citation
IEEE Transactions on Robotics and Automation
Volume
9
Issue
1

Keywords

Multi-level modeling approach, product information modeling, OWL
Created January 9, 2012, Updated November 10, 2018