Paper Titles
BAVC: Classifying Benign Atomicity Violations via Machine Learning
p.1576
Personalized Search Ranking Based on Semantic Tag
p.1581
System Wide Information Management Architecture Designing
p.1585
College English Learners' Beliefs and Awareness of Mobile Learning Based on Smart-Phones
p.1589
Research and Development of Gas and Pipeline Technical Standard Content Reveal Technology and System
p.1592
Design and Implementation of Keywords Extraction and Management System Based on Java Platform
p.1596
Research of the Key Technology of AIS Base Station Web System
p.1600
Keywords Extraction Based on Text Classification
p.1604
Analysis Framework of Freemodbus
p.1610

Research and Development of Gas and Pipeline Technical Standard Content Reveal Technology and System

Article Preview

Abstract:

Traditional standard retrieval methods and systems presented in various papers are widely used based on the standard titles and the keywords. However, these methods may be inapposite to modern pipeline engineers, especially for the ones who want find the requirements details of pipeline standards as fast as possible. In recent years, a number of projects have been funded to develop a Gas and Pipeline Standard Content Reveals System in PetroChina. This paper covers the development process of the system. The development of Gas and Pipeline Standard Content Reveals System involves ontology knowledge, technical details picking up and reveals system, and the process is as follows. Firstly, standard retrieval methods are reviewed. Then pipeline ontology knowledge is built as standardization objects. So the gas and pipeline standard content reveals system can be designed and developed with powerful database. It is believed that the approach to show the standard content presented in this paper may lay the initial basis for the important assist system for pipelines engineers.

You might also be interested in these eBooks
Advanced Information and Computer Technology in Engineering and Manufacturing, Environmental Engineering View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

1592-1595

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.1592

Citation:

Cite this paper

Online since:

September 2013

Authors:

Bing Liu, Min Yang Wang, Teng Pan, Kai Xuan Wu

Keywords:

Content Reveals, Natural Gas, Natural Pipeline, Retrieval, Standard

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Jie Zhou, Yuping Wang. Standard Literature Platform Database Construction. China Standardization, 2010 (4): 11 -14.

Google Scholar

[2] Changfeng Hu. Considerations on Literature Content Reveal. Library Studies, 2002(3): 53-55.

Google Scholar

[3] Junli Yu, Shunian Chen. Document Classification. Wuhan University Press, (2001).

Google Scholar

[4] Neches R, Fikes R E, Gruber T R, etc. Enabling Technology for Knowledge Sharing. AI Magazine, 1991, 12(3): 36-56.

Google Scholar

[5] Gruber T R. A Translation Approach to Portable Ontology Specification. Knowledge Acquisition, 1993, 5(2): 199-220.

DOI: 10.1006/knac.1993.1008

Google Scholar