Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making
Egileak: Syed Imran Shafiq, Cesar Sanin, Edward Szczerbicki, Carlos Toro
Data: 02.03.2015
Abstract
This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering artefacts, is also discussed. In this paper, we present several Sets of Experience of engineering objects used in manufacturing that were collected for the construction of a VEO-chromosome within the VEO-Decisional DNA. VEO is used to enhance manufacturing systems with predicting capabilities, facilitating decision-making in engineering processes knowledge handling.
BIB_text
author = {Syed Imran Shafiq, Cesar Sanin, Edward Szczerbicki, Carlos Toro},
title = {Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making},
pages = {261-270},
volume = {598},
keywds = {
Decisional DNA; Knowledge Representation; Set of Experience Knowledge Structure (SOEKS); Virtual Engineering Objects (VEO)
}
abstract = {
This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering artefacts, is also discussed. In this paper, we present several Sets of Experience of engineering objects used in manufacturing that were collected for the construction of a VEO-chromosome within the VEO-Decisional DNA. VEO is used to enhance manufacturing systems with predicting capabilities, facilitating decision-making in engineering processes knowledge handling.
}
isbn = {978-3-319-16210-2},
isi = {1},
date = {2015-03-02},
year = {2015},
}