DocumentCode :
2857661
Title :
Global Dynamics Network Construction from the Web
Author :
Perrin, Thomas ; Kawai, Hideki ; Kunieda, Kazuo ; Yamada, Keiji
Author_Institution :
NEC, C&C Innovation Res. Lab., St. Augustin
fYear :
2008
fDate :
26-26 April 2008
Firstpage :
69
Lastpage :
76
Abstract :
In this paper, we will utilize patterns to query search engine in order to extract a large list of expressions and build their co-occurrence networks from the Web. Those expressions could be statistical terms like birth rates, events such as hurricanes, riots or facts as urbanization. Our method is based on specificities of the language in order to create patterns. Those patterns will help us to extract terms. The vast amount of available information, the power of search API engine like Yahoo or Google combined with our patterns allow us to extract with high accuracy expressions described above and find links between them.
Keywords :
Internet; application program interfaces; search engines; Google; Yahoo; global dynamics network construction; query search engine; search API engine; Cities and towns; Data mining; Environmental economics; Ethanol; Next generation networking; Petroleum; Power generation economics; Production; Search engines; Vehicle dynamics; Co-Occurrence Network; Dynamics Network; Extraction; Patterns; Search engine; causal relation; cause; effect; expression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information-Explosion and Next Generation Search, 2008. INGS '08. International Workshop on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3300-1
Type :
conf
DOI :
10.1109/INGS.2008.15
Filename :
4627234
Link To Document :
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