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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 products 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.
Lee, J.
, Fenves, S.
, Bock, C.
, Rachuri, S.
, Suh, H.
, Fiorentini, X.
and Sriram, R.
(2012),
A Semantic Product Modeling Framework and Its Application for Behavior Evaluation, IEEE Transactions on Robotics and Automation, [online], https://doi.org/10.1109/TASE.2011.2165210
(Accessed October 14, 2025)