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Author:

Zeng, Wenhua (Zeng, Wenhua.) | Zhang, Jian (Zhang, Jian.) | Wei, Haifang (Wei, Haifang.)

Indexed by:

EI Scopus

Abstract:

With the rapid update of internet hardware and software, especially the rise of mobile internet and cloud computing platforms, web-based sites has become the world's largest source of information, and so how to extract the accurate domain-specific knowledge, how to improve the extraction efficiency and how to save the cost during information harvest have become the hot research spot. With the advantage of the theories and techniques of software architecture, the paper presents a web knowledge discovery model based on SOA and cloud computing, through which valid information can be obtained in an automatic or semi-automatic way from the distributed information sources environment. A unique web information extraction system built base on the architecture and the verification results were given in the final chapter. © 2012 IEEE.

Keyword:

Websites Computation theory Data mining Cloud computing Computer architecture Information retrieval

Author Community:

  • [ 1 ] [Zeng, Wenhua]Software Engineering College, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang, Jian]Software Engineering College, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wei, Haifang]Software School, Xiamen University, Xiamen, China

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Source :

Year: 2012

Page: 1370-1373

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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