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A mining and visualizing system for large-scale Chinese technical standards

  • Chenwei Lu
  • , Deqing Wang
  • , Xin Liu
  • , Keqin Gan*
  • *Corresponding author for this work
  • Beihang University
  • China National Institute of Standardization

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A technical standard is an established norm or requirement in regard to technical systems. It is usually a formal document that establishes uniform engineering or technical criteria, methods, processes and practices. Every year, more than 10K standards are released by standardization organizations, such as International Standardization Organization (ISO), American National Standards Institute (ANSI), and China National Institute of Standardization (CNIS). Thereinto, China publishes more than 4K national and industrial standards per year. Confronted with the large amount of standards, how to manage and make full use of these standards efficiently and effectively has become a major issue to be addressed. In this paper, we introduce a mining and visualizing system for large-scale Chinese technical standards from spatial and temporal perspectives. Specifically, we propose an s-index metric to measure the contribution of a drafting unit. Moreover, we develop a multiple dimensional mining and visualizing analysis system for standardization experts and users to explore regional differences and temporal trends of standards in China. Our system has run on 95K Chinese standards spanning from 2001 to 2016 and provided online service. The extensive experiments and case study demonstrate the effectiveness of our proposed system.

Original languageEnglish
Title of host publicationProceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538651193
DOIs
StatePublished - 5 Jul 2018
Event4th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2018 - Bamberg, Germany
Duration: 26 Mar 201829 Mar 2018

Publication series

NameProceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018

Conference

Conference4th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2018
Country/TerritoryGermany
CityBamberg
Period26/03/1829/03/18

Keywords

  • Metric Of Contribution
  • Standard Mining
  • Visualizing Analysis

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