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.

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.

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

2010 ◽  
Vol 10 (2) ◽  
Author(s):  
Pei Zhan ◽  
Uma Jayaram ◽  
OkJoon Kim ◽  
Lijuan Zhu
Keyword(s):  
Knowledge Representation ◽  
Product Design ◽  
Adaptive Design ◽  
Simulation Analysis ◽  
Ontology Mapping ◽  
Design Evaluation ◽  
Formal Ontology ◽  
Semantic Approach ◽  
Product Data ◽  
Assembly Simulation

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 PROTÉGÉ (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.

scholarly journals Technical Characteristics in the Diffusion of Cleaner Residential Heating System in China: The Case of Air-Source Heat Pump Technology

2019 ◽  
Vol 12 ◽  
pp. 194008291985591 ◽  
Author(s):  
Dejin Su ◽  
Wenli Zhou ◽  
Qixia Du ◽  
Yongchun Huang
Keyword(s):  
Product Design ◽  
Heat Pump ◽  
User Satisfaction ◽  
Linear Regression Analysis ◽  
Heating System ◽  
Product Knowledge ◽  
Total Cost ◽  
Positive Effects ◽  
Air Source Heat Pump ◽  
Residential Heating

This study aims to explore the technical characteristics that affect user satisfaction with air-source heat pump technology which is recognized as one typical cleaner residential heating system and being promoted in China in response to the national “coal to electricity” policy. Moderated hierarchical linear regression analysis was conducted to analyze data from a questionnaire survey of 256 residents in suburban Beijing. Empirical results indicated that product convenience, product design, product reliability, product knowledge, and total cost, respectively, affect user satisfaction, but product safety has no significant effect on user satisfaction. Meanwhile, total cost is an important contingent factor that might weaken the positive effects of product convenience (or product design) on user satisfaction. Our research provides empirical evidence for identifying factors that influence user satisfaction with cleaner residential heating system in response to new energy policy and further provides useful managerial implications for market practice.

Research on the Six-Dimension Knowledge Classification System and Model for Modern Product Design

2010 ◽  
Vol 118-120 ◽  
pp. 576-580 ◽  
Author(s):  
Xue Fen Ma ◽  
Xu Dong Dai
Keyword(s):  
Knowledge Representation ◽  
Product Design ◽  
Classification System ◽  
Expert Knowledge ◽  
Design Knowledge ◽  
Design Domain ◽  
Application Process ◽  
Resource Unit ◽  
Representation Model ◽  
Knowledge Classification

Based on the features of distributed knowledge resources environment and taking knowledge mobility in modern design as its supporting goal, this essay focuses on research into knowledge classification systems and representation models of product design. It proposes a six-dimension design knowledge classification system and a cubic knowledge representation model operating in an environment of distributed resources. The six dimensions of design knowledge classification are discipline, product, resource unit, application process, expression pattern, and design domain respectively. Accordingly, the six planes of the cubic knowledge representation model are, therefore, the discipline plane, expression pattern plane, resource unit plane, product plane, application process plane, and design domain plane, clearly represent the application profiles of design knowledge in six dimensions. The six-dimension design knowledge classification system and cubic model are applied to fluid simulation implicit knowledge (expert knowledge) as a real case, and are the basis upon which an application system of fluid emulation expert knowledge service is developed. The design knowledge classification system and representation model proposed in this essay are the theoretical foundations for knowledge flow model development in modern product design and the construction of knowledge management systems for modern design platforms.

Research on Knowledge Navigation Supporting Rapid Design of Complex Product

2011 ◽  
Vol 201-203 ◽  
pp. 779-789
Author(s):  
Yang Jian Ji ◽  
Kan Long ◽  
Guo Ning Qi
Keyword(s):  
Product Design ◽  
Steam Turbine ◽  
Design Process ◽  
Turbine Rotor ◽  
Product Knowledge ◽  
Knowledge Model ◽  
Complex Product ◽  
Low Efficiency ◽  
Flow Division ◽  
Navigation Method

In the multi-disciplinary design process of complex product, it is hard for designers to obtain designing knowledge timely and accurately which causes the low efficiency of product design. With consideration of the above problem, knowledge navigation method is proposed based on context navigation model (CNM) and knowledge model (KM). CNM describes the matching relationship between designing activity context (AC) and knowledge context (KC), and composes of AC, KC and knowledge context network (KCN). KM describes designing knowledge element (KE), and the matching relationship between KC and KE. Based on these models, procedure of multi-disciplinary knowledge navigation is introduced. Taking the design process of industrial steam turbine rotor flow division section as an instance, the result shows that this procedure, based on CNM and KM, is able to supply designers with proper product knowledge timely and promote the designing efficiency of complex product.

The Potential Usages of Interactive Tabletops and Surfaces in Product Design

2015 ◽  
Author(s):  
Samira Sadeghi ◽  
Caroline Hayes
Keyword(s):  
Product Design ◽  
Methodological Approach ◽  
Design Domain ◽  
Natural Approach ◽  
Design Office ◽  
Potential Applications ◽  
Interactive Tabletops ◽  
The Many

This is a “concept” paper. It explores the potential usages of interactive tabletops and surfaces in product design. Interactive tabletops and surfaces are a family of display technologies coupled with sensors that enable a more natural approach for interacting with computers. Previous research demonstrates the many possible uses for interactive tabletops and surfaces in design domain through several applications. This paper explores the potential of this technology to enhance the performance of designers and design groups. This paper highlights the benefits of interactive tabletops and surfaces in design through discussion of different potential applications and their possible advantages. The methodological approach for developing interactive tabletops and surfaces application for design has been presented and supported through a case study. Through the proposed approach we aim to gain a better understanding of practical challenges that need to be considered when integrating interactive tabletops and surfaces technology into a design office.

Design for Ease-of-Repair: Insights From Consumers’ Repair Experiences

2016 ◽  
Author(s):  
Jida Huang ◽  
Behzad Esmaeilian ◽  
Sara Behdad
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Product Design ◽  
Consumer Electronics ◽  
Data Envelopment ◽  
Design Domain ◽  
Or Efficiency ◽  
Response Options ◽  
Dea Method

With the increasing attention on the role of consumer behavior in sustainable development, consideration of consumer’s product repair and reuse behavior is becoming more and more important in the product design domain. In order to investigate the product ease-of-repair and its effect on future product purchase and recommendation decisions made by consumers, this paper studies the main reasons that consumers were not able to repair a product based on a survey data collected by a wiki-based website that offers repair manuals for consumer electronics. Two main questions have been asked in the survey: what is the last thing you personally fixed? And why did you not succeed in fixing it. The information of these questions and the available response options have been used to compared eleven types of electronics in terms of their ease-of-repair. A list of design features (e.g. openability, accessibility, standardization, and modularity) that may increase the repair adoption by individual consumers has been discussed. In addition, a Data Envelopment Analysis (DEA) method was introduced to compare different categories of products in terms of reparability efficiency. The findings on how repair experiences or efficiency of repair for different categories of devices influence consumers’ future purchase and recommendation decisions have been presented.

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