Collective intelligence convergence system and method thereof

Abstract

A collective intelligence convergence system and a method thereof are provided. The collective intelligence convergence system based on a required reading opinion and a method thereof which calculates a result using the required reading opinion which necessarily includes opinions of experts in a corresponding field and includes opinions of ordinary persons when a public opinion or questionnaire survey is conducted.

What is claimed is: 
     
         1 . A system for collective intelligence convergence, the system comprising:
 a management computer including computer hardware that causes the system to perform:   receiving expert opinion data such as an opinion on agreement or opposition to a presented issue, at least one ground for the opinion, description of the opinion provided by at least one expert;   receiving participation opinion of at least one participant including whether or not to agree to the at least one expert opinion data;   with reference to the participation opinion of the at least one participant, determining a predetermined number of expert opinion data as at least one required reading opinion data that must be read, and determining a predetermined number of expert opinion data as at least selective reading opinion data that selectively can be read;   receiving participant opinion data of at least one participant including whether or not to consent to the at least one required reading opinion data and the at least selective reading opinion data;   generating collective intelligence convergence data based on the participant opinion data.   
     
     
         2 . The system of  claim 1 , wherein the participation opinion includes score data given to the expert opinion data. 
     
     
         3 . The system of  claim 2 , further comprising determining the ranking of expert opinion data based on the score data given to the expert opinion data. 
     
     
         4 . The system of  claim 1 , wherein a predetermined number of high ranking expert opinion data is set as the requested reading opinion data, and a predetermined number of lower ranking expert opinion data excluding the requested reading opinion data is set as selective reading opinion data. 
     
     
         5 . The system of  claim 1 , wherein the requested reading opinion data and the selective reading opinion data are updated according to the participant opinion data. 
     
     
         6 . The system of  claim 3 , wherein when there is the expert opinion data having a higher score than the stored required reading opinion data and selective reading opinion data among the expert opinion data receiving a small number of contents which are not included in the required reading opinion data and the selective reading opinion data, updating to increase the ranking of the expert opinion data. 
     
     
         7 . The system of  claim 6 , wherein the expert opinion data whose ranking is increased is the selective reading opinion data. 
     
     
         8 . The system of  claim 1 , wherein the generating the collective intelligence convergence includes:
 providing, by the management computer, a predetermined number of the requested reading opinion data and the selective reading opinion data of the agreement opinion and opposition opinion regarding the presented issue to the participants;   receiving the participant opinion data in including consent or non-consent, score data regarding the requested reading opinion data and the selective reading opinion data from each participant;   calculating an average value of the scores given by each participant to each of the required reading opinion data and each of the selective reading opinion data for the agreement opinion and the opposition opinion of experts; and   generating the collective intelligence convergence data based on the average value.   
     
     
         9 . A collective intelligence convergence method comprising:
 receiving, by a management computer, expert opinion data such as an opinion on agreement or opposition to a presented issue, at least one ground for the opinion, description of the opinion provided by at least one expert;   receiving, by a management computer, participation opinion of at least one participant including whether or not to agree to the at least one expert opinion data;   with reference to the participation opinion of the at least one participant, determining, by a management computer, a predetermined number of expert opinion data as at least one required reading opinion data that must be read, and determining a predetermined number of expert opinion data as at least selective reading opinion data that selectively can be read;   receiving, by a management computer, participant opinion data of at least one participant including whether or not to consent to the at least one required reading opinion data and the at least selective reading opinion data; and   generating, by a management computer, collective intelligence convergence data based on the participant opinion data.   
     
     
         10 . The collective intelligence convergence method of  claim 9 , wherein the receiving participant opinion data comprises:
 providing, by the management computer, a predetermined number of the requested reading opinion data and the selective reading opinion data of the agreement opinion and opposition opinion regarding the presented issue to the participants, and receiving the participant opinion data in including consent or non-consent, score data regarding the requested reading opinion data and the selective reading opinion data from each participant.   
     
     
         11 . The collective intelligence convergence method of  claim 9 , wherein the generating the collective intelligence convergence data comprises:
 calculating an average value of the scores given by each participant to each of the required reading opinion data and each of the selective reading opinion data for the agreement opinion and the opposition opinion of experts; and   generating the collective intelligence convergence data based on the average value.