A Context Sensitive Experience Feeder for Computer Aided Engineering

Bo Song, Zuhua Jiang

2012

Abstract

Computer aided engineering (CAE) tries to map properties and interactions of real world entities with symbols and values readable to the machine. Modern CAE software packages are powerful in function, but users usually need a lot of knowledge and experience to manipulate them. As a kind of tacit knowledge, experiences require gauged context in order to be fully understood and applied. To better exploit the freely written, hard-to-encode experiences on the web, we propose in this paper a context sensitive experience feeding mechanism which is able to recommend experiences matching the context of a given CAE task. Our method makes use of information extraction and natural language processing techniques to find experience valuable to engineer’s trouble shooting. Empirical evaluation of a prototypical feeder suggests that our method is effective.

Paper Citation

in Harvard Style

Song B. and Jiang Z. (2012). A Context Sensitive Experience Feeder for Computer Aided Engineering . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 343-346. DOI: 10.5220/0004133103430346

in Bibtex Style

@conference{keod12,
author={Bo Song and Zuhua Jiang},
title={A Context Sensitive Experience Feeder for Computer Aided Engineering},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={343-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004133103430346},
isbn={978-989-8565-30-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - A Context Sensitive Experience Feeder for Computer Aided Engineering
SN - 978-989-8565-30-3
AU - Song B.
AU - Jiang Z.
PY - 2012
SP - 343
EP - 346
DO - 10.5220/0004133103430346