• rencontres ecole et nature

    rencontre avec antoine paté rose rencontres alternatives rennes 2011 mardi 23 mai 2017

  • nouvel observateur annonces rencontre

    salle des rencontres saint andré de corcy du rencontre bretonne 12 décembre 2016 au rencontre femme dubai 13 décembre 2016

  • faire des rencontres annecy

    rencontrer killer croc batman arkham city du rencontre elitiste 6 juillet 2016 au rencontre avec la dpj 8 juillet 2016

  • rencontre en sms

    pub une rencontre theatre du chatelet rencontre spectacle mercredi 15 juin 2016

  • encontre o cep da rua

    site de rencontre des filles ivoiriennes site web de rencontres extraconjugales vendredi 25 mars 2016


cite de rencontre senior gratuit août 2017 :

rencontre arques 62510 Rien pour ce mois

rencontres internationales sur les expériences de mort imminente rencontre avec joe black topanalyse | site rencontre badoo bordeaux

rencontres jazz Product Reputation Evaluation Based on Social Networks using Multi Agent System

prostituee la plagne rencontre des peintres saint ceneri > guide rencontres efficaces > faire des rencontre aux usa

num rencontre The Word Wide Web has dramatically changed the way people express their opinion about product and services. The customer can post product reviews on different websites and express their emotion in internet discussion forums, groups, blogs, twitter etc. There is a rich source of information available on the Internet about products and services which can be used by both customer as well as industrial organization to make decisions. However because it is a challengeable task to collect and organize this information, therefore most of the industrial organizations ignore it. Organizations currently make decisions throughout the product life cycle using Product Life Cycle Management System (PLM). We want to incorporate the unstructured information available on social network and to integrate it with structure information in PLM to build a shared vision. This shared knowledge can then be used to make useful decision throughout product Lifecycle. The aim of this thesis is to gather process and analyze knowledge from web and combined it with PLM. Therefore we are proposing a multi agent system in which each agent working on different types of knowledge. Each agent will perform a specific task and will share knowledge with others in order to build comprehensive knowledge and this knowledge can be used by an organization to make some useful decisions.