The aim of this experiment is to develop a process to synthesize in a map the documents interest centers (in this case scientifics paper extracted from the web). Follow we described the process:

Extract scientifics paper from google
Extract terms from documents
Select terms to visualize
Calculate the co-occurrence between terms
Fiter de co-ocurrence network with pathfinder algorithm
Visualize the co-occurrence network
Clusters are manualy painted

Maps collection:

Competitive intelligence [png]
Technology watch [png]
Business process management [jpg]
Social network analysis [jpg]
Social network extraction [png]
Cowords analysis [png]
Automatic terms recognition [png]
Natural lenguage processing [png] (fuente SPLEN)
Software engeenering [png] (fuente JISBD)
Semantic web [png]
Open source intelligence [png]
Web intelligence / Information garthering [png]
Web intelligence / Information extraction [png]
Crawler / Wrapper [png]
Resume v1 [png]
Resume v2 [png]

Note: For extract maps have been used TREDAR. TREDAR is environment that allow implements process to integrate different information sources and extract knowledge from them.

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Mapa de la Web
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Page last modified on September 07, 2010, at 04:00 AM