Ontology-Driven Integration of CAD/CAE Applications: Strategies and Comparisons

2009 ◽  
Author(s):  
Lijuan Zhu ◽  
Uma Jayaram ◽  
Sankar Jayaram ◽  
OkJoon Kim
Keyword(s):  
Product Design ◽  
Heterogeneous Data ◽  
Design Tool ◽  
Knowledge Modeling ◽  
Semantic Level ◽  
Domain Specific ◽  
Assembly Simulation ◽  
Simulation Domain ◽  
Common Domain ◽  
Application Specific

In this paper we present a detailed exploration of ontology-driven approaches and strategies for integrating product data between CAD/CAE applications. We structure the ontology model into three layers: General Domain Ontology, Domain Specific Ontology, and Application Specific Ontology. In particular, Application Specific Ontologies are built for PRO/E, CATIA, and a virtual assembly design tool called VADE. This allows the integration processes to be demonstrated for a) two applications in the common domain of product design, and b) two applications in different domains, one in the product design domain and the other in an assembly simulation domain. In addition, these ontology-driven strategies are compared with two other approaches. The first study focuses on the knowledge modeling aspect and compares the ontology approach with a standard modeling language, UML. The second study focuses on data integration and translation aspect and compares the ontology-driven approach with a traditional one. It is concluded that an ontology-driven approach is superior for solving heterogeneous data problems involving multiple applications by managing data on semantic level.

An Ontology Mapping Application Using a Shared Ontology Approach and a Bridge Ontology

2009 ◽  
Author(s):  
OkJoon Kim ◽  
Uma Jayaram ◽  
Sankar Jayaram ◽  
Lijuan Zhu
Keyword(s):  
Product Design ◽  
Ontology Mapping ◽  
Design Domain ◽  
Product Knowledge ◽  
Semantic Level ◽  
Knowledge Repositories ◽  
Assembly Simulation ◽  
Exchange Product ◽  
Simulation Domain

This paper presents our continuing work to develop methods to exchange product knowledge in the semantic level in the CAD/CAE domains. We present an approach based on a shared ontology, in which a higher level of ontologies are shared among lower levels of ontologies. Key mapping strategies, such as Equivalency, Attribute Similarity, Composition Similarity, and Inheritance Similarity are defined to map concepts and properties defined in a product design domain and an assembly simulation domain. In addition, a Bridge Ontology is designed to store information obtained from mapping processes and construct a link between different knowledge repositories. An Ontology Mapping Application (OMA) which brings together all these elements has been designed and implemented. It is a Java-based application that allows the user to load source and target ontologies, calculate concept and property similarities between them, display the mapping results, and output a corresponding Bridge Ontology.

scholarly journals Computer aided product design tool for sustainable product development

2014 ◽  
Vol 71 ◽  
pp. 362-376 ◽  
Author(s):  
Juliette Heintz ◽  
Jean-Pierre Belaud ◽  
Nishant Pandya ◽  
Moises Teles Dos Santos ◽  
Vincent Gerbaud
Keyword(s):  
Product Development ◽  
Product Design ◽  
Design Tool ◽  
Computer Aided ◽  
Sustainable Product Development ◽  
Sustainable Product

Using Semantic Technology to Enhance ESB Capabilities

2013 ◽  
Vol 849 ◽  
pp. 298-301
Author(s):  
Gui Yang Jin ◽  
Fu Zai Lv ◽  
Zhan Qin Xiang
Keyword(s):  
Semantic Annotation ◽  
Process Models ◽  
Business Systems ◽  
Enterprise Integration ◽  
Semantic Level ◽  
Data Services ◽  
Integration Architecture ◽  
Common Domain ◽  
Intimate Knowledge ◽  
Semantic Mediation

Modern enterprises consist of complex business systems. These systems need to be integrated to support enterprises operation. The SOA and ESB become an important enterprise integration architecture style for designing and implementing integration systems. But there are some limitations of todays ESB framework, such as only syntactic description of service interface, inability to perform semantic mediation and incapable process knowledge management. Therefore developers need deep and intimate knowledge to develop integration systems. We introduce an ontology-based semantic annotation approach to enrich and reconcile semantics of data, services and process models on ESB that enables data, service and process models interoperability on the semantic level through common domain ontologies.

A Study on Ontology-Based Representation System of Product Design Knowledge

2010 ◽  
Vol 426-427 ◽  
pp. 366-370 ◽  
Author(s):  
H.B. Wu ◽  
Yuan Wei Liu
Keyword(s):  
Product Design ◽  
Knowledge Development ◽  
Design Knowledge ◽  
Concept Design ◽  
Knowledge Modeling ◽  
Representation System ◽  
Construction Machinery ◽  
Modeling Approach ◽  
Representation Method ◽  
Definition Of

In this paper, we investigated the definition of product design knowledge, design knowledge origin characteristics and design knowledge formalized representation method, etc. We also established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. From the design knowledge management’s angle, design knowledge modeling approach is studied to support the design knowledge development, transfer and reuse for the construction machinery the knowledge modeling.

scholarly journals TEACHING FINITE ELEMENT ANALYSIS FOR DESIGN ENGINEERS

2011 ◽  
Author(s):  
Paul M. Kurowski
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Product Design ◽  
Engineering Students ◽  
Undergraduate Curriculum ◽  
Design Tool ◽  
Element Analysis ◽  
Design Engineers ◽  
The Finite Element Analysis ◽  
Cost Efficient

The Finite Element Analysis (FEA) is becoming increasingly popular among design engineers using it as one of many product design tools. Safe and cost efficient use of FEA as a product design tool requires training, different from that presently found in undergraduate curriculum of mechanical engineering students. The specific requirements of design engineers for training in the field of FEA have been addressed by the author in a number of professional development courses in FEA, catering specifically to the needs of design engineers. This paper discuses tools and methods used in the development and delivery of these courses and their applicability to the undergraduate courses taught in Canadian Engineering schools.

Domain-Specific Language for Describing Grid Applications

2009 ◽  
pp. 328-365
Author(s):  
Enis Afgan ◽  
Purushotham Bangalore ◽  
Jeff Gray
Keyword(s):  
Quality Of Service ◽  
Grid Computing ◽  
Specific Language ◽  
Domain Specific ◽  
Application Deployment ◽  
Grid Applications ◽  
Computing Environments ◽  
Grid Application ◽  
Application Specific

Grid computing environments are dynamic and heterogeneous in nature. In order to realize application- specific Quality of Service agreements within a grid, specifications at the level of an application are required. This chapter introduces an XML-based schema language (called the Application Specification Language, ASL) and a corresponding modeling tool that can be used to describe applications in grid computing environments. Such application descriptions allow derivation of guided and autonomic service developments for installation and invocation routines throughout the grid. In order to promote the language and ease the application description process, a domain-specific tool is also introduced. Based on our experience, the ASL in combination with higher level models improves, simplifies and promotes the grid application deployment process while simultaneously minimizing tedious and error-prone tasks such as manual application description composition.

Design and Implementation of Oilfield Heterogeneous Data Integration Model Based on Ontology

2014 ◽  
Vol 912-914 ◽  
pp. 1201-1204
Author(s):  
Gang Huang ◽  
Xiu Ying Wu ◽  
Man Yuan
Keyword(s):  
Data Integration ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Semantic Heterogeneity ◽  
Integration Model ◽  
Integration Framework ◽  
Heterogeneous Data Integration ◽  
Semantic Level ◽  
Heterogeneous Data Sources ◽  
Semantic Difference

This paper provides an ontology-based distributed heterogeneous data integration framework (ODHDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. It provides an effective technology measure for the interior information of enterprises to be shared in time accurately.

scholarly journals Enabling semantic queries across federated bioinformatics databases

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Ana Claudia Sima ◽  
Tarcisio Mendes de Farias ◽  
Erich Zbinden ◽  
Maria Anisimova ◽  
Manuel Gil ◽  
...  
Keyword(s):  
Gene Expression ◽  
Data Integration ◽  
Heterogeneous Data ◽  
Biological Data ◽  
Data Sources ◽  
Biological Knowledge ◽  
Biological Databases ◽  
Semantic Level ◽  
Sparql Endpoint ◽  
Description Framework

Abstract Motivation: Data integration promises to be one of the main catalysts in enabling new insights to be drawn from the wealth of biological data available publicly. However, the heterogeneity of the different data sources, both at the syntactic and the semantic level, still poses significant challenges for achieving interoperability among biological databases. Results: We introduce an ontology-based federated approach for data integration. We applied this approach to three heterogeneous data stores that span different areas of biological knowledge: (i) Bgee, a gene expression relational database; (ii) Orthologous Matrix (OMA), a Hierarchical Data Format 5 orthology DS; and (iii) UniProtKB, a Resource Description Framework (RDF) store containing protein sequence and functional information. To enable federated queries across these sources, we first defined a new semantic model for gene expression called GenEx. We then show how the relational data in Bgee can be expressed as a virtual RDF graph, instantiating GenEx, through dedicated relational-to-RDF mappings. By applying these mappings, Bgee data are now accessible through a public SPARQL endpoint. Similarly, the materialized RDF data of OMA, expressed in terms of the Orthology ontology, is made available in a public SPARQL endpoint. We identified and formally described intersection points (i.e. virtual links) among the three data sources. These allow performing joint queries across the data stores. Finally, we lay the groundwork to enable nontechnical users to benefit from the integrated data, by providing a natural language template-based search interface.

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