Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
---|---|---|
Article Number | 03033 | |
Number of page(s) | 7 | |
Section | Algorithm Study and Mathematical Application | |
DOI | https://doi.org/10.1051/matecconf/201823203033 | |
Published online | 19 November 2018 |
Method and practice of comparing indicators from standards
1
China National Institute of Standardization, Beijing, 100191, China
2
Research Institute of Information Technology, Tsinghua University, Beijing, 100084, China
a Corresponding author: liax@cnis.gov.cn
Chinese standards and foreign standards differ in technical indicators and requirements, which result in the poor recognition of products that comply with Chinese standards. It is crucial to set up a universal method to compare standard indicators, so that the inconsistency between standards could be eliminated, and ultimately improve Chinese products competitiveness. This paper proposed a method for indicator comparison from standards. Based on Semantic Web technology, the method introduced fragmentation of standard documents in a manner of ‘product stylistic rule indicator’ triplet. The processed fragments were annotated by the knowledge-based organization and used for the following indicator comparison. The method and procedure were generalized to develop standard indicator comparison system. The system provided a great experience in representing technical indicators as well as the comparison of indicators from standards. Further practice of the system suggested that repeated standard development and conflicted indicators in Chinese standards are still common.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.