Case Studies
Languages for Knowledge Capture and their Use in Creation of Smart Models
by: Biren Prasad
Summary: Languages are means of capturing the knowledge for the design and development of a product. Smart Models are the results or such knowledge capture. The author, first describe how language for knowledge capture have evolved over a thirty year time period.
Author through literature search finds that such languages fall into three major classes: (a) geometry-based language (b) Constraint-based language (c) Knowledge-based language. The paper then describes the differences and similarities or these languages that can be employed to capture life-cycle intent. The second part of the paper describes how such languages are being used in creation of smart models. A smart model is a reusable conceptualization of an application domain. In such smart models, the models contain the knowledge (attributes, rules or relations) of the application domains forming the basis for future problem solving.
The paper also describes two popular ways of formulating a problem that leads to such smart models: (1) Constraint-based programming (2) Knowledge-based programming. Through analysis of existing practices, new development and trends, the paper then discusses some •new emerging directions in the use of languages for the knowledge capture". Finally, the benefits of knowledge capture and creation of smart models over conventional models are discussed.
Link for Book Download: Industrial Knowledge Management: A micro-level Approach
Link to Paper Download: Languages for Knowledge Capture and their Use in Creation of Smart Models
by: Biren Prasad
Summary: Languages are means of capturing the knowledge for the design and development of a product. Smart Models are the results or such knowledge capture. The author, first describe how language for knowledge capture have evolved over a thirty year time period.
Author through literature search finds that such languages fall into three major classes: (a) geometry-based language (b) Constraint-based language (c) Knowledge-based language. The paper then describes the differences and similarities or these languages that can be employed to capture life-cycle intent. The second part of the paper describes how such languages are being used in creation of smart models. A smart model is a reusable conceptualization of an application domain. In such smart models, the models contain the knowledge (attributes, rules or relations) of the application domains forming the basis for future problem solving.
The paper also describes two popular ways of formulating a problem that leads to such smart models: (1) Constraint-based programming (2) Knowledge-based programming. Through analysis of existing practices, new development and trends, the paper then discusses some •new emerging directions in the use of languages for the knowledge capture". Finally, the benefits of knowledge capture and creation of smart models over conventional models are discussed.
Link for Book Download: Industrial Knowledge Management: A micro-level Approach
Link to Paper Download: Languages for Knowledge Capture and their Use in Creation of Smart Models
A Knowledge-Based System Engineering Process for Obtaining Engineering Design Solutions
by Brian Prasad and Jeff Rogers
ASME 2005 International Design Engineering Technical Conferences and Computers
and Information in Engineering Conference
Volume 3: 25th Computers and Information in Engineering Conference, Parts A and B
Long Beach, California, USA, September 24–28, 2005
Conference Sponsors: Design Engineering Division and Computers and Information in
Engineering Division. ISBN: 0-7918-4740-3 | eISBN: 0-7918-3766-1. Copyright © 2005 by ASME
Link for Book Download: IDETC/CIE2005 | Volume 3: ASME Proceedings | 25th Computers and Information in Engineering Conference
by Brian Prasad and Jeff Rogers
ASME 2005 International Design Engineering Technical Conferences and Computers
and Information in Engineering Conference
Volume 3: 25th Computers and Information in Engineering Conference, Parts A and B
Long Beach, California, USA, September 24–28, 2005
Conference Sponsors: Design Engineering Division and Computers and Information in
Engineering Division. ISBN: 0-7918-4740-3 | eISBN: 0-7918-3766-1. Copyright © 2005 by ASME
Link for Book Download: IDETC/CIE2005 | Volume 3: ASME Proceedings | 25th Computers and Information in Engineering Conference
CONCEPTUAL FRAMEWORK FOR LIVE CAPTURE AND REUSE OF PROJECT KNOWLEDGE
by: John M. Kamara, Chimay J. Anumba, Patricia M. Carrillo, and Nasreddine (Dino) Bouchlaghem
Summary: The concept of knowledge management (KM) is now familiar to the construction industry, and various attempts are being made to develop tools and techniques for the effective management of knowledge in the industry. This paper addresses the ‘live’ capture of construction project knowledge, which is as yet, an elusive goal in KM efforts.
Link to Paper Dowload: CONCEPTUAL FRAMEWORK FOR LIVE CAPTURE AND REUSE OF PROJECT KNOWLEDGE
by: John M. Kamara, Chimay J. Anumba, Patricia M. Carrillo, and Nasreddine (Dino) Bouchlaghem
Summary: The concept of knowledge management (KM) is now familiar to the construction industry, and various attempts are being made to develop tools and techniques for the effective management of knowledge in the industry. This paper addresses the ‘live’ capture of construction project knowledge, which is as yet, an elusive goal in KM efforts.
Link to Paper Dowload: CONCEPTUAL FRAMEWORK FOR LIVE CAPTURE AND REUSE OF PROJECT KNOWLEDGE
Achieving Competitive Advantage through Knowledge-Based Engineering
By: Stephen Cooper, Ip-Shing Fan and Guihua Li, Cranfield University
Summary: In the knowledge age companies must harness their intellectual capital in order to compete and survive. This requires that companies make the development and maintenance of their knowledge, about the products that they manufacture and sell, a fundamental activity. A company that does so is termed a Knowledge-Based Organisation (KBO).
Knowledge-Based Engineering (KBE) is a key technology to retain competitiveness in the knowledge age. It allows companies to capture and deploy the knowledge and experience of their engineers, together with manufacturing best practice, legislation, costings, and other rules. KBE is now being used by a wide variety of companies to massively
reduce design time and cost, whilst simultaneously improving the cost, performance and quality of the end product.
Link to Paper Download: Achieving Competitive Advantage through Knowledge-Based Engineering
By: Stephen Cooper, Ip-Shing Fan and Guihua Li, Cranfield University
Summary: In the knowledge age companies must harness their intellectual capital in order to compete and survive. This requires that companies make the development and maintenance of their knowledge, about the products that they manufacture and sell, a fundamental activity. A company that does so is termed a Knowledge-Based Organisation (KBO).
Knowledge-Based Engineering (KBE) is a key technology to retain competitiveness in the knowledge age. It allows companies to capture and deploy the knowledge and experience of their engineers, together with manufacturing best practice, legislation, costings, and other rules. KBE is now being used by a wide variety of companies to massively
reduce design time and cost, whilst simultaneously improving the cost, performance and quality of the end product.
Link to Paper Download: Achieving Competitive Advantage through Knowledge-Based Engineering
