A Semantic Product Modeling Framework and Language for Behavior Evaluation
Jae H. Lee, Hyo Won Suh, Steven J. Fenves, Sudarsan Rachuri, Xenia Fiorentini, Ram D. Sriram, Conrad E. Bock
Supporting different stakeholder viewpoints across the product's entire lifecycle requires semantic richness for representing product related information. This paper proposes a multi-layered product modeling framework that enables stakeholders to define their product-specific models and relate them to physical or simulated instances. The framework is defined within the Model-driven Architecture and adapted to the multi-layer approach of the architecture. The data layer represents real world products, the model layer includes models of those products, and the meta-model layer (M2) defines the product modeling language. The semantic-based product modeling language described in this paper is specialized from a web ontology language enabling product designers to express the semantics of their product models explicitly and logically in an engineering-friendly way. The interactions between these three layers are described to illustrate how each layer in the framework is used in a product engineering context. A product example is provided for further understanding of the framework.
, , H.
, Fenves, S.
, Rachuri, S.
, Fiorentini, X.
, Sriram, R.
and Bock, C.
A Semantic Product Modeling Framework and Language for Behavior Evaluation, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=903952
(Accessed February 24, 2024)