Extracting Information from unstructured Data used in Online Networks

The invention of the World Wide Web made it possible to connect people all over the world. A new style of employing web applications in communicating people is the online netwo

ABSTRACT

The invention of the World Wide Web made it possible to connect people all over the world. A new style of employing web applications in communicating people is the online  networks.  The  main  concept  in  these  networks  is  the  “Sociality”  i.e.  linking people  with  their  community  to  exchange information,  news,  personal  stuff  and whatever. We can’t ignore that this aspect of online network is urging people to have a  good  digital  figure  and  to  generously  share  info,ideas  and  opinions.  Facebook, Twitter,  Google+,  YouTube  and  LinkedIn  are  the  most  popular  examples  of  online networks.   These   websites   are   becoming   containers   for   huge   piles   of   visual information without having an ability to get benefit of them. The issue of our project is creating that tool which can extract unstructured information used in online networks and  organize  them  in  an  appropriate  structure  to  enable  applying  them  in  further applications.  To  make  it  a  specialized  project  we  choose  our  case  study  to  be Linkedin.com

 

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