Crowdsourcing-based novel question answering system

A question answering system and crowdsourcing technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult semantic analysis technology, high cost, and community question answering systems cannot guarantee real-time

Active Publication Date: 2015-05-13
BEIHANG UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a new question answering system based on crowdsourcing, which solves the technical problem that the existing automatic question answering system

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  • Crowdsourcing-based novel question answering system

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Embodiment Construction

[0045]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] First introduce the following concepts and definitions:

[0047] Crowdsourcing: It can be seen as a distributed problem-solving business output model. In the 2006 "Wired" magazine, Jeff Howe defined "crowdsourcing (Crowdsourcing)", which refers to the development of an outsourcing task from traditional employees to Open to a group of people...

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Abstract

The invention provides a crowdsourcing-based novel question answering system comprising a question answering module, an intelligent answering module, a question answering analysis module, a mediating mode decision module, a data source query module and an optimizing module. The question answering analysis module acquires key word groups according to acquired question answering data; the mediating mode decision module generates a mediating mode according to the key word groups and a preset attribute candidate set by mapping; the data source query module generates data source query statements according to the mediating mode and retrieves entity data from multiple data sources; the optimizing module packages crowdsourcing data into a crowdsourcing task and transmits the crowdsourcing task to the intelligent answering module; the optimizing module generates intelligent answering data according to the crowdsourcing feedback data fed back by the intelligent answering module. The crowdsourcing-based novel question answering system has the advantages that the technical problem that the automatic question answering system is limited to semantic analysis has high technical difficulty and high cost is solved, the technical problem that a community question answering system cannot be timely is solved, and questions posed by users are quickly and accurately answered.

Description

technical field [0001] The invention relates to an Internet data processing technology, in particular to a novel question answering system based on crowdsourcing. Background technique [0002] With the rapid development of the Internet, users obtain more and more information. In the era of Web 2.0, users can share information through the Internet. The content they share includes text, pictures, videos, websites and mobile applications. Therefore, the amount of information is constantly increasing. With the increase, the types are also continuously diversified. The Internet has gradually become a huge carrier of information and data, and a large amount of information and data has brought about a challenge - how to enable users to obtain the information they really need. [0003] As an information retrieval tool, search engines can use keyword matching to filter out a certain amount of useless information and filter out results in exponentially growing big data, but the retur...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
Inventor 孙海龙张日崇刘馨怡孙富民刘旭东
Owner BEIHANG UNIV
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