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Publication Citation: A Semantic Product Modeling Framework and Its Application for Behavior Evaluation

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Author(s): Jae H. Lee; Steven J. Fenves; Conrad E. Bock; Sudarsan Rachuri; Hyo-Won Suh; Xenia Fiorentini; Ram D. Sriram;
Title: A Semantic Product Modeling Framework and Its Application for Behavior Evaluation
Published: January 09, 2012
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
Pages: pp. 110 - 123
Keywords: Multi-level modeling approach, product information modeling, OWL
Research Areas: Information Technology, Product Data, Ontologies
PDF version: PDF Document Click here to retrieve PDF version of paper (4MB)