| Author(s): |
Jae Hyun Lee; Steven J. Fenves; Conrad E. Bock; Rachuri 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: |
 Click here to retrieve PDF version of paper (4MB) |
