Construction of Substation Engineering Design Knowledge Graph Based on “Ontology Seven-step Method”

2021 ◽  
Author(s):  
Wei Jiang ◽  
Yali Wang ◽  
Junhui Hu ◽  
Lan Guan ◽  
Zhanwei Zhu
Keyword(s):  
Engineering Design ◽  
Design Knowledge ◽  
Knowledge Graph ◽  
Step Method

scholarly journals Sharing engineering design knowledge in a distributed environment

2000 ◽  
Vol 19 (3) ◽  
pp. 189-200 ◽  
Author(s):  
Zdenek Zdrahal ◽  
Paul Mulholland ◽  
John Domingue ◽  
Mark Hatala
Keyword(s):  
Engineering Design ◽  
Design Knowledge ◽  
Distributed Environment

scholarly journals Deriving Design Knowledge Graph for Complex Sociotechnical Systems Using the AIA Design Thinking

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tao Shen ◽  
Chan Gao ◽  
Yukari Nagai ◽  
Wei Ou
Keyword(s):  
Design Thinking ◽  
Integrated Approach ◽  
Structure Design ◽  
Sociotechnical Systems ◽  
Design Knowledge ◽  
Knowledge Graph ◽  
Sociotechnical System ◽  
Complex Design ◽  
Validation Experiment ◽  
Concept Framework

The AIA design thinking has been validated in complex design tasks, which includes three overlapping design thinking fields and uses the knowledge field theory as a theoretical mechanism of knowledge flow among design thinking fields. Meanwhile, the design of complex sociotechnical systems highly relies on multidisciplinary knowledge and design methods. Despite the emergence of knowledge management techniques (ontology, expert system, text mining, etc.), designers continue to store knowledge in unstructured ways. To facilitate the integration of knowledge graph and design thinking, we introduce an integrated approach to structure design knowledge graph with the AIA design thinking, which organizes existing design knowledge through Agent (concept)-Interaction (relation)-Adaptation (concept) framework. The approach uses an optimized convolutional neural network to accomplish two tasks: building concept graph from text and stimulating design thinking information processing for complex sociotechnical system tasks. Based on our knowledge graph, the validation experiment demonstrates the advantages of promoting the designer’s extension of idea space and idea quality.

A Methodology for Creating Ontologies for Engineering Design

2005 ◽  
Author(s):  
Saeema Ahmed ◽  
Sanghee Kim ◽  
Ken M. Wallace
Keyword(s):  
Social Science ◽  
Computer Science ◽  
Engineering Design ◽  
Empirical Research ◽  
Research Study ◽  
Design Knowledge ◽  
Test Case ◽  
Engineering Knowledge ◽  
Domain Models

This paper describes a methodology for developing ontologies for engineering design. The methodology combines a number of methods from social science and computer science, together with taxonomies developed in the field of engineering design. A case study is used throughout the paper focusing upon the use of an ontology for searching, indexing and retrieving of engineering knowledge. An ontology for indexing design knowledge can assist the users to formulate their queries when searching for engineering design knowledge. The root concepts of the ontology were elicited from engineering designers during an empirical research study. These formed individual taxonomies within the ontology and were validated through indexing a set of ninety-two documents. Relationships between concepts are extracted as the ontology is populated with instances. The identified root concepts were found to be complete and sufficient for the purpose of indexing. A thesaurus and an automatic classification are being developed as a result of this evaluation. The methodology employed during the test case is presented in this paper. There are six separate stages, which are presented together with the research methods employed for each stage and the evaluation of each stage. The main contribution of this research is the development of a methodology to allow researchers and industry to create ontologies for their particular purpose and to develop a thesaurus for the terms within the ontology. The methodology is based upon empirical research and hence, focuses upon understanding a user’s domain models as opposed to extracting an ontology from documentation.

Web Service Interfaces for Design Repositories

2005 ◽  
Author(s):  
Joshua Shaffer ◽  
Joseph B. Kopena ◽  
William C. Regli
Keyword(s):  
User Interface ◽  
Web Services ◽  
Web Service ◽  
Engineering Design ◽  
Search Algorithms ◽  
Design Knowledge ◽  
Important Goal ◽  
Widespread Application ◽  
Web Based ◽  
Core Functionality

Reuse of design knowledge is an important goal in engineering design, and has received much attention. A substantial set of algorithms, methodology, and developed systems exist which support various aspects of this goal. However, the majority of these systems are built around a particular user interface, often some form of Web-based repository portal. The work described here presents search and other core functionality as web services rather than a monolithic repository system. These services may then be employed by a variety of applications, integrating them into interfaces familiar to the designer, extending functionality, streamlining their use, and enabling them to be employed throughout the design process. This paper demonstrates this approach by wrapping previously developed repository search algorithms as web services, and then using these within a plug-in for an existing commercial CAD environment. Based on issues encountered in developing this demonstration, this paper also discusses the challenges and potential approaches toward a more general, widespread application of web services in engineering design.

Prototype-oriented representation of engineering design knowledge

1992 ◽  
Vol 7 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Adrian Demaid ◽  
John Zucker
Keyword(s):  
Engineering Design ◽  
Design Knowledge

Engineering design knowledge representation based on logic and objects

1997 ◽  
Vol 63 (5) ◽  
pp. 1015-1032 ◽  
Author(s):  
J. Bento ◽  
B. Feijó ◽  
D.L. Smith
Keyword(s):  
Knowledge Representation ◽  
Engineering Design ◽  
Design Knowledge

Present Trends in Designing of Technical Systems

2013 ◽  
Vol 460 ◽  
pp. 73-80 ◽  
Author(s):  
Jaroslav Šeminský
Keyword(s):  
Product Development ◽  
Engineering Design ◽  
Design Research ◽  
Design Knowledge ◽  
Problem Size ◽  
Design Synthesis ◽  
New Methods ◽  
Long Time ◽  
Technical Systems ◽  
Design Theories

Paper is focused to the development in designing of technical systems and present methodology approaches. For a long time, engineering design research has been focused on the development of various design theories, methodologies, methods, tools, and procedures. Engineers to more efficiently design artefacts have subsequently used that design methods. However, as the artefacts have grown in complexity, the need for new methods has become obvious. Also, in a nowadays world, increased competition and globalisation require organizations to re-examine traditional product development strategies. While the difficulties in design synthesis are caused by a wide variety of issues, the complicatedness under problem size is so essential that it make procedural design knowledge insufficient to generate superior design solutions.

A hypernetwork-based approach to collaborative retrieval and reasoning of engineering design knowledge

2019 ◽  
Vol 42 ◽  
pp. 100956 ◽  
Author(s):  
Gongzhuang Peng ◽  
Hongwei Wang ◽  
Heming Zhang ◽  
Keke Huang
Keyword(s):  
Engineering Design ◽  
Design Knowledge

Engineering Design Knowledge Management

2011 ◽  
pp. 161-165
Author(s):  
Z. M. Ma
Keyword(s):  
Engineering Design ◽  
Product Information ◽  
Design Knowledge ◽  
Lead Times ◽  
Production Operation ◽  
High Quality ◽  
New Information ◽  
Requirement Definition ◽  
Design Production ◽  
Phase Engineering

In recent years, greater global competition is pressuring organizations to produce industrial products with the shortest possible lead times, high quality, and lowest costs. The lifecycle of a product includes many phases such as requirement definition, conceptual design, production, operation, maintenance, and so forth. Each phase in the lifecycle would involve the product information, for example, using some information that comes from other phase(s) and generating some new information during the phase. Engineering design knowledge (EDK) of a product consists of the product information related to the design process of the product.

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