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Authors: Maximilian Zocholl 1 and Reiner Anderl 2

Affiliations: 1 Technical University Darmstadt, Germany ; 2 Technische Universität Darmstadt, Germany

Keyword(s): Uncertainty, Ontology, CAD, Parametric Product Data Model, PLM.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: The lack of information about uncertain conditions in manufacturing and the behaviour of load carrying systems still lead to fatal design decisions. Semantic technologies provide the necessary capabilities to link information from different domains along the product lifecycle and enable engineers to cope with uncertainty. This paper presents an overview of existing literature in the fields of semantics in CAD and PLM. We identify future research challenges and present our concept for the integration of uncertainty information in parametric CAD models.

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Paper citation in several formats:
Zocholl, M. and Anderl, R. (2014). Ontology-based Representation of Time Dependent Uncertainty Information for Parametric Product Data Models. In Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2014) - KMIS; ISBN 978-989-758-050-5; ISSN 2184-3228, SciTePress, pages 400-404. DOI: 10.5220/0005158004000404

@conference{kmis14,
author={Maximilian Zocholl. and Reiner Anderl.},
title={Ontology-based Representation of Time Dependent Uncertainty Information for Parametric Product Data Models},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2014) - KMIS},
year={2014},
pages={400-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005158004000404},
isbn={978-989-758-050-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2014) - KMIS
TI - Ontology-based Representation of Time Dependent Uncertainty Information for Parametric Product Data Models
SN - 978-989-758-050-5
IS - 2184-3228
AU - Zocholl, M.
AU - Anderl, R.
PY - 2014
SP - 400
EP - 404
DO - 10.5220/0005158004000404
PB - SciTePress