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Method and system for human-machine questioning and answering based on knowledge graph

A technology of knowledge graph and man-machine question answering, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as reasoning, inaccurate answers, and weak connections between knowledge points and knowledge points, and achieve the goal of improving satisfaction Effect

Active Publication Date: 2015-11-25
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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AI Technical Summary

Problems solved by technology

The existing man-machine question answering system only establishes a one-to-one relationship mapping network for knowledge points. The connection between knowledge points is very weak, and knowledge reasoning cannot be performed. Therefore, the answers fed back to users are often inaccurate. , even lack of pertinence, the answer is not what the question asked

Method used

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  • Method and system for human-machine questioning and answering based on knowledge graph
  • Method and system for human-machine questioning and answering based on knowledge graph
  • Method and system for human-machine questioning and answering based on knowledge graph

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Embodiment Construction

[0024] Preferred implementation modes of the present application will be described in detail below in conjunction with the accompanying drawings.

[0025] For the convenience of description, "what is the difference between an Apple mobile phone and a Samsung mobile phone" is used as an example of a user input sentence. In the existing human-machine question answering system, the commonly used method is: first extract the keywords in the above sentence, "iPhone / Samsung mobile phone / different"; introduce synonyms and generate corresponding retrieval formulas, "iPhone mobile phone and Samsung mobile phone and (different or difference or difference ornull)"; then retrieve the existing database. The answers thus given are often only existing entries or articles that include the above keywords and their synonyms, although these entries or articles involve both "Apple mobile phone" and "Samsung mobile phone", or also give The "difference" between the two does not give a targeted fun...

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Abstract

The invention provides a method and a system for human-machine questioning and answering based on a knowledge graph. In the method for the human-machine questioning and answering based on the knowledge graph provided by the invention, word segmentation is carried out to a sentence input by a user when the sentence input by the user is input; entity extraction is carried out to words obtained by the word segmentation; knowledge inference is carried out to entity information obtained by the entity extraction through application of the knowledge graph; and according to results of the knowledge inference, a feedback is made to the sentence input by the user, so that an answer fed back by the human-machine questioning and answering will become more accurate, a question proposed by the user can be answered in a targeted manner, and the user's satisfaction degree can be increased.

Description

technical field [0001] The present invention relates to data processing applicable to human-computer question answering, in particular to a method and system for human-computer question answering based on knowledge graphs. Background technique [0002] With the development of Internet applications, many enterprises, institutions or government functional departments have introduced human-computer question answering systems into their websites or APPs to assist or replace manual responses to user inquiries. [0003] Most of the existing human-computer question answering systems extract the keywords in the user's questions as knowledge points, and perform one-to-one entity mapping in the database to find out the corresponding items of knowledge points, and then feed back the corresponding items as answers to user. The existing man-machine question answering system only establishes a one-to-one relationship mapping network for knowledge points. The connection between knowledge ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28
Inventor 陶玮
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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