A Model for Acquisition of Implicit Design Knowledge Based on KDD

2006 ◽  
pp. 505-510
Author(s):  
Jing Min Li ◽  
Jin Yao ◽  
Yong Mou Liu
Keyword(s):  
Design Knowledge ◽  
Knowledge Based

A Novel Application of Gamification for Collecting High-Level Design Information

2015 ◽  
Author(s):  
Hyunmin Cheong ◽  
Wei Li ◽  
Francesco Iorio
Keyword(s):  
User Study ◽  
Design Knowledge ◽  
Cad Systems ◽  
Design Information ◽  
Knowledge Based ◽  
Game Mechanics ◽  
Abstract Level ◽  
Level Problem ◽  
Level Design ◽  
High Level

This paper presents a novel application of gamification for collecting high-level design descriptions of objects. High-level design descriptions entail not only superficial characteristics of an object, but also function, behavior, and requirement information of the object. Such information is difficult to obtain with traditional data mining techniques. For acquisition of high-level design information, we investigated a multiplayer game, “Who is the Pretender?” in an offline context. Through a user study, we demonstrate that the game offers a more fun, enjoyable, and engaging experience for providing descriptions of objects than simply asking people to list them. We also show that the game elicits more high-level, problem-oriented requirement descriptions and less low-level, solution-oriented structure descriptions due to the unique game mechanics that encourage players to describe objects at an abstract level. Finally, we present how crowdsourcing can be used to generate game content that facilitates the gameplay. Our work contributes towards acquiring high-level design knowledge that is essential for developing knowledge-based CAD systems.

BDS: A Knowledge-Based Bumper Design System

1997 ◽  
Author(s):  
Beverly J. Becker ◽  
Gregory A. Kaepp
Keyword(s):  
Software Design ◽  
Product Performance ◽  
Design System ◽  
Design Knowledge ◽  
Performance Requirement ◽  
Knowledge Based ◽  
Design Engineers ◽  
Design Alternatives ◽  
Design Requirements ◽  
Knowledge Based Engineering

Abstract A knowledge-based Bumper Design System (BDS) has been developed which automatically generates optimized conceptual bumper beams which meet manufacturing and product performance requirement. The BDS has captured and refined the corporate design knowledge of the product design engineer, the CAD designer, the CAE analyst and manufacturer. The BDS enables the bumper design engineers to evaluate multiple design alternatives quickly and early in the design process. It also automates repetitive bumper analysis tasks. The purpose of the paper is to describe the BDS. A description of the Knowledge Based Engineering (KBE) methodology used to create the BDS is given, as well as an overview of bumper designs and design requirements. An overview of the BDS software design, user interface, and a sample run are also presented.

Study on the Organization Model for the Design Process Modular of Complex Mechanical Product

2012 ◽  
Vol 538-541 ◽  
pp. 2990-2994
Author(s):  
Jun Zheng
Keyword(s):  
Product Design ◽  
Design Process ◽  
Directed Acyclic Graph ◽  
Semantic Relations ◽  
Design Knowledge ◽  
Modular Approach ◽  
Organization Model ◽  
Acyclic Graph ◽  
Knowledge Based ◽  
Special Collections

In order to provide knowledge service more efficiently for complex mechanical product design, a knowledge organization model for complex mechanical product design knowledge based on the process modular approach was proposed. First, a general form, the knowledge instance, would be used to represent all forms of the knowledge for complex mechanical product design; then, based on the contents and features of the knowledge instances and the semantic relations in the domain ontology, the special collections of the knowledge instances which have related features would be composed to knowledge modules, and knowledge modules would be organized as a DAG(directed acyclic graph). The complex mechanical product design knowledge could be efficiently and completely queried based-on semantic according to the logical relationships expressed in the DAG.

A LEARNING-BASED SOFTWARE ENGINEERING ENVIRONMENT FOR REUSING DESIGN KNOWLEDGE

1991 ◽  
Vol 01 (04) ◽  
pp. 351-371 ◽  
Author(s):  
SIDNEY C. BAILIN ◽  
ROBERT H. GATTIS ◽  
WALT TRUSZKOWSKI
Keyword(s):  
Machine Learning ◽  
Software Engineering ◽  
Research Program ◽  
Systematic Approach ◽  
Design Knowledge ◽  
Environment Design ◽  
Knowledge Capture ◽  
Knowledge Based ◽  
Engineering Environment ◽  
Distinguishing Features

As part of the NASA/Goddard Code 522.3 research program in software engineering, a Knowledge-Based Software Engineering Environment (KBSEE) is being developed. The KBSEE will support a comprehensive artifact-reuse capability and will incorporate knowledge-based concepts such as machine learning and design knowledge capture. The distinguishing features of this work are that it is a systematic approach to the reuse of knowledge, not just of products, and it implements learning as an explicitly supported function in a software engineering environment. Each of these objectives is currently being pursued in a distinct prototype environment: design knowledge capture and knowledge reuse in KAPTUR (Knowledge Acquisition for Preservation of Tradeoffs and Underlying Rationales), and learning in LEARN (Learning Enhanced Automation of Reuse Engineering). Despite their prototype realization in different environments, the integration of these approaches into an overall KBSEE is a key goal of our work.

Semantics-Based Design Knowledge Annotation and Retrieval

2005 ◽  
Author(s):  
Zhanjun Li ◽  
Min Liu ◽  
David C. Anderson ◽  
Karthik Ramani
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Ontology Engineering ◽  
Design Knowledge ◽  
Knowledge Based ◽  
Design Engineers ◽  
First Case ◽  
Computer Aided ◽  
Design Documents

Nowadays computer aided tools have enabled the creation of the electronic design documents on an unprecedented scale, while determining and finding what can be reused is like searching a “needle in a haystack.” One of the primary reasons for this is that the design knowledge behind the physical design is not properly represented and indexed. With the large amount of designs available, design engineers need to retrieve suitable ones, so that a knowledge-based unified reuse environment can be realized. In this paper, we describe our approach to intelligently annotating and retrieving designs by using ontology engineering and natural language processing. We use the design documents from an engineering design class as the first case study.

Ontology-Based Knowledge Representation for Mechanical Products

2012 ◽  
Vol 605-607 ◽  
pp. 365-370
Author(s):  
Jia Li ◽  
Yun Bin Yang ◽  
Li Fan Wei
Keyword(s):  
Knowledge Representation ◽  
Mechanical Design ◽  
Design Method ◽  
Design Knowledge ◽  
Configuration Design ◽  
Knowledge Based ◽  
Mechanical Products ◽  
Knowledge Based Engineering ◽  
General Ontology ◽  
Core Part

Knowledge Based Engineering (KBE) helps sharing and reusing knowledge in modern mechanical design field. As a core part of KBE, various methods of knowledge representation were studied. In order to reuse the mechanical design knowledge, the methodology of ontology-based knowledge representation was discussed. First, the concepts, formal description, specialties and languages of ontology were described. Then, three categories of ontology in the field of mechanical design, general ontology, domain ontology and product ontology, were discussed. The product ontology was analyzed by the configuration design method. Finally, an example of ontology-based knowledge representation for mechanical products was studied. The work about ontology-based knowledge representation methodology may support the application of KBE in mechanical design field.

Reusing design knowledge based on design cases and knowledge map

2013 ◽  
Vol 23 (4) ◽  
pp. 1063-1077 ◽  
Author(s):  
Cheng Yang ◽  
Zheng Liu ◽  
Haobai Wang ◽  
Jiaoqi Shen
Keyword(s):  
Design Knowledge ◽  
Knowledge Map ◽  
Knowledge Based
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