scholarly journals Key issues for a manufacturing data query system based on graph

Author(s):  
Lise Kim ◽  
Esma Yahia ◽  
Frédéric Segonds ◽  
Philippe Véron ◽  
Victor Fau
2018 ◽  
Vol 232 ◽  
pp. 01004
Author(s):  
Wenshuai Ge ◽  
Gang He ◽  
Xinwen Liu

This paper proposes a big data query system for customized queries based on specific business needs. This paper introduces the components and structure of the query system. ANTLR tools are used as language recognizer to design and implement a customized SQL dialect. The system builds a simpler and easier query interface on Spark SQL, which satisfies the query requirements of the Internet user behavior analysis platform.


Author(s):  
Wei-Tsung Su ◽  
Ching-Sheng Wang ◽  
Wei-Cheng Chen ◽  
Siou-Dian Li ◽  
Yu-Lin Lin

2014 ◽  
Vol 556-562 ◽  
pp. 3347-3349
Author(s):  
Yao Wen Xia ◽  
Ji Li Xie

In this paper, from the perspective of XML data management, first in the HDFS store large amount of data and XML data based on XML data query rewrite the traditional framework of MapReduce process, the design of large amount of data XML data set keywords retrieval algorithm, contain XML data classification and coding, index and search a four parts, solve the large amount of data of the XML document keywords retrieval problem. Then the design and implementation based on MapReduce of large amount of data XML keyword query system.


2014 ◽  
Vol 651-653 ◽  
pp. 1607-1610
Author(s):  
Ai Hua Zhang

In this paper, firstly introducing the B/S structure and the WEBGIS technology, giving a brief understanding; then discussing the oil extraction engineering data query system which based on WEBGIS technology and B/S model; and after analyzing we find that: the oil extraction engineering data query system not only takes advantage of the convenience and flexibility of the Internet which is based on WEB, but also the application of the B/S technology has greatly strengthened its transaction processing and security, thus realizing the real business related WEBGIS, achieving high data sharing and interaction, it is more reasonable in oil extraction engineering nowadays.


2006 ◽  
Vol 12 (2) ◽  
pp. 189-195 ◽  
Author(s):  
Lois M. Haggard ◽  
Shandra J. Burnett
Keyword(s):  

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