Home // ALLDATA 2016, The Second International Conference on Big Data, Small Data, Linked Data and Open Data // View article


A Novel Event-based Method for Abducting Evolutional Motivation of Empirical Engineering Knowledge

Authors:
Xinyu Li
Zuhua Jiang
Lijun Liu
Puling Liu

Keywords: knowledge evolution; empirical engineering knowledge; evolutional motive; evolutional event; abductive reasoning

Abstract:
In the engineering fields, empirical engineering knowledge (EEK) accumulated from long-term engineering activities is the knowledge source for engineers to solve the innovative design and decision-making problems. Cognition and utilization of the mechanism and rules of EEK evolution over time are the real and urgent problems in knowledge management and seem to lack attention from researches. To deal with these problems, this paper proposes a novel method that abducts the motives of EEK evolution with the events related to the evolution of EEK field, completely and clearly finding the factors that influence the EEK evolution. An experiment in computer-aided design (CAD) is executed for verifying the feasibility of the proposed method, and the result shows that the proposed method can effectively acquire the motives of EEK evolution and also be beneficial for engineers to deeply cognize the EEK evolution.

Pages: 114 to 119

Copyright: Copyright (c) IARIA, 2016

Publication date: February 21, 2016

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-457-2

Location: Lisbon, Portugal

Dates: from February 21, 2016 to February 25, 2016