@article{4578944897614b3bae5ee344dabc554b,
title = "OntoSTEP: Enriching product model data using ontologies",
abstract = "The representation and management of product lifecycle information is critical to any manufacturing organization. Different modeling languages are used at different lifecycle stages, for example STEP's EXPRESS may be used at a detailed design stage, while UML may be used for initial design stages. It is necessary to consolidate product information created using these different languages to build a coherent knowledge base. In this paper, we present an approach to enable the translation of STEP schema and its instances to Ontology Web Language (OWL). This gives a modelwhich we call OntoSTEPthat can easily be integrated with any OWL ontologies to create a semantically rich model. As an example, we combine geometry information represented in STEP with non-geometry information, such as function and behavior, represented using the NIST's Core Product Model (CPM). A plug-in for Prot{\'e}g{\'e} is developed to automate the different steps of the translation. As additional benefits, reasoning, inference procedures, and queries can be performed on enriched legacy CAD models. We describe the rules for the translation from EXPRESS to OWL, and illustrate the benefits of OWL translation with an example. We will also describe how these mapping rules can be implemented through meta-model based transformations, which can be used to map other languages to OWL.",
keywords = "Automated model transcription, EXPRESS, Meta-model, OWL, Product lifecycle information, Product modeling, STEP, Semantic",
author = "Raphael Barbau and Sylvere Krima and Sudarsan Rachuri and Anantha Narayanan and Xenia Fiorentini and Sebti Foufou and Sriram, {Ram D.}",
note = "Funding Information: This section discusses two related efforts that aim to develop a translation from EXPRESS to OWL. We provide a brief presentation of these approaches and their main contributions. Intelligent Self-describing Technical and Environmental Networks (S-TEN) [29] is a project funded by the European Community. One of its objectives is to “exploit the Semantic Web for scientific and engineering applications”. This project describes a bi-directional translation between EXPRESS and OWL. Funding Information: Ram D. Sriram is currently the chief of theSoftware and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was theleader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. He was also the manager of the Sustainable Manufacturing Program. Prior to joining NIST, he was on the engineering faculty (1986–1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored nearly 250 publications, including several books. Sriram was a founding co-editor of the International Journal for AI in Engineering. In 1989, he was awarded a Presidential Young Investigator Award from the National Science Foundation, USA. He is also the recipient of the 2011 ASME Design Automation Award. Sriram is a Fellow of ASME and AAAS, a life member of ACM, a Senior Member of the IEEE, and a member of AAAI. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA.",
year = "2012",
month = jun,
doi = "10.1016/j.cad.2012.01.008",
language = "English (US)",
volume = "44",
pages = "575--590",
journal = "CAD Computer Aided Design",
issn = "0010-4485",
publisher = "Elsevier Limited",
number = "6",
}