A knowledge sharing service method based on crowdsourcing and map technology

Abstract

The invention discloses a knowledge sharing service method based on crowdsourcing and map technology. The method comprises the steps of: 1, building a knowledge map and calculating the importance of each knowledge point in the knowledge map and storing the same in a database; 2, according to the topic task published by the user, converting the topic task into a logical expression through semanticanalysis, and querying the relevant knowledge points in the knowledge map; 3, look for users of Topk before grasp that corresponding knowledge points of the task and recommending the user to the usersthrough crowdsourcing; 4, a plurality of user who accept that task of the question record their answers on the platform according to the answering time; 5, the user publishing the title and the userbrowsing the question mark the answers of different respondents according to the answers of different respondents; 6, the reward issued by the publishing title us is rewarded by weight according to the satisfaction degree of the publishing title us to the answers under the condition that the answers do not exceed the answering time.

Description

technical field [0001] The present invention relates to the field of knowledge sharing services, in particular to a knowledge sharing service method based on crowdsourcing and graph technology. Background technique [0002] In recent years, with the progress of society and the improvement of people's living standards, people have gradually entered the era of sharing economy. Everything from small power banks to large houses can be shared, and knowledge is no exception. The essence of knowledge sharing is based on breaking the barriers between different knowledge owners, realizing the free flow and use of knowledge within a certain range, enabling organizations to reduce the cost of knowledge acquisition, and facilitating the application and innovation of knowledge. [0003] The question answering system in knowledge sharing service platform is divided into automatic question answering system and interactive question answering system. The automatic question answering system ...

AI Technical Summary

Problems solved by technology

[0005] The current knowledge sharing service platform mainly obtains answers from users with relevant classification labels by classifying and labeling questions. Problems such as unreasonable classification labels for questions and excessively large range of classification labels will affect the experience of knowledge sharing services.

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