Knowledge Representation and Ontology Mapping Methods for Product Data in Engineering Applications

被引:43
|
作者
Zhan, Pei [1 ]
Jayaram, Uma [1 ]
Kim, OkJoon [1 ]
Zhu, Lijuan [1 ]
机构
[1] Washington State Univ, Sch Mech & Mat Engn, VRCIM Lab, Pullman, WA 99164 USA
基金
美国国家科学基金会;
关键词
DESIGN; SYSTEM;
D O I
10.1115/1.3330432
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a semantic approach that uses ontologies to share knowledge related to product data in CAD/CAE applications and for integrating the design evaluation information that these applications individually provide. Our overall approach is the ontology-based adaptive design evaluation, also coined as OADE. This paper reports a piece of our ongoing work in the area of knowledge representation and ontology mapping methods. Here we design ontologies for representing product design and analysis, instantiate a source ontology with the product data, create formal ontology mapping methods, and then apply these methods to transfer the product data from the source ontology to the target one. A prototype implementation has been created using technologies such as OWL (representation language), JENA (ontology API), and PROTEGE (ontology editor) (ontology editor) to demonstrate the approach for integrating product design and assembly simulation analysis applications. This work is significant because heuristic methods based on geometry attributes, composition, and inheritance for determining mapped concepts in engineering ontologies is still very new, and not much work has been done in this area. This work will lead to the ability to create, share, and exchange knowledge for solving design evaluation challenges involving multiple applications and viewpoints. [DOI: 10.1115/1.3330432]
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条
  • [21] Owl-based product ontology architecture and representation for sharing product knowledge on a web
    Lee, Jae-Hyun
    Suh, Hyo-Won
    27TH COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, VOL 2, PTS A AND B 2007: PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2008, : 853 - 861
  • [22] Data Warehouse Design for Security Applications Using Distributed Ontology-Based Knowledge Representation
    Butakova, Maria A.
    Chernov, Andrey, V
    Savvas, Ilias K.
    Garani, Georgia
    INTELLIGENT DISTRIBUTED COMPUTING XIII, 2020, 868 : 140 - 145
  • [23] Knowledge Modeling of Product Data Based on Fuzzy Ontology
    Zhai, Jun
    Li, Jianfeng
    Chen, Yan
    ADVANCED MECHANICAL ENGINEERING, PTS 1 AND 2, 2010, 26-28 : 347 - 351
  • [24] A Study on Ontology-Based Representation System of Product Design Knowledge
    Wu, H. B.
    Liu, Y. W.
    FUNCTIONAL MANUFACTURING TECHNOLOGIES AND CEEUSRO I, 2010, 426-427 : 366 - 370
  • [25] Research on the knowledge representation and retrieval for mechanical product design based on ontology
    Su S.
    Wang Y.
    Chen C.
    Li P.
    Zhang D.
    Chen G.
    International Journal of Wireless and Mobile Computing, 2019, 16 (04) : 340 - 349
  • [26] Understanding Knowledge Representation in the Knowledge Management Environment: Evaluation of Ontology Visualization Methods
    Kim, Jong-Ae
    KNOWLEDGE ORGANIZATION, 2012, 39 (03): : 193 - 203
  • [27] Special issue on data, knowledge and ontology engineering - Preface
    Cao, CG
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2002, 17 (05) : 521 - 522
  • [28] YMIR - A SHARABLE ONTOLOGY FOR THE FORMAL REPRESENTATION OF ENGINEERING-DESIGN KNOWLEDGE
    ALBERTS, LK
    FORMAL DESIGN METHODS FOR CAD, 1994, 18 : 3 - 32
  • [29] A matrix representation and mapping approach to knowledge acquisition for product design
    Rao, ZM
    Chen, CH
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2005, 3681 : 311 - 317
  • [30] Context in Ontology for Knowledge Representation
    Chebba, Asmaa
    Bouabana-Tebibel, Thouraya
    Rubin, Stuart H.
    ADVANCED COMPUTATIONAL METHODS FOR KNOWLEDGE ENGINEERING, 2015, 358 : 311 - 320