A human-computer interaction method and device for intelligent robots

An intelligent robot and human-computer interaction technology, applied in the field of intelligent robots, can solve problems such as inability to be vivid, output answers to different questions, and poor user experience of intelligent robots, so as to improve user stickiness and make up for insufficient data volume.

Active Publication Date: 2020-01-14
BEIJING GUANGNIAN WUXIAN SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using this type of knowledge graph for human-computer interaction data processing, it is often only possible to rigidly extract the existing data in the knowledge graph, and cannot output vivid and real-time answers to different questions, resulting in poor user experience for intelligent robots.

Method used

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  • A human-computer interaction method and device for intelligent robots
  • A human-computer interaction method and device for intelligent robots
  • A human-computer interaction method and device for intelligent robots

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Experimental program
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Embodiment 1

[0041] figure 1 A flow chart of the intelligent robot-oriented human-computer interaction method provided by this embodiment is shown.

[0042] Such as figure 1 As shown, in this embodiment, the method first obtains the question information input by the user in step S101. After obtaining the question information input by the user, in step S102, the method utilizes the preset knowledge graph and combines the acquired event information or real-time information to generate feedback information for the above question information.

[0043] Specifically, such as figure 2 As shown, when generating the feedback information for the question information, the method first performs semantic analysis on the acquired question information in step S201, so as to obtain the question entity of the question information; then in step S202, based on the obtained The problem entity supplements the hidden entity of the problem information, thereby generating effective interactive information of ...

Embodiment 2

[0062] image 3 A flow chart of the intelligent robot-oriented human-computer interaction method provided by this embodiment is shown.

[0063] Such as image 3 As shown, the method provided by this embodiment first obtains the question information input by the user in step S301. After obtaining the question information input by the user, the method uses a preset knowledge map in step S302 to generate feedback information for the above question information.

[0064] In this embodiment, in step S302, the method first performs semantic analysis on the question information obtained in step S301, so as to obtain the question entity of the question information; then, based on the obtained question entity, supplement the hidden entity of the question information, In this way, the effective interaction information of the question information is generated; finally, the obtained effective interaction information is retrieved by using the preset knowledge map, and the feedback informa...

Embodiment 3

[0071] As an important part of the intelligent robot question answering system, the knowledge graph provides technical support for the intelligent robot to achieve in-depth question answering. However, the existing knowledge graph has the problems of insufficient data volume and single data extraction method. Most of the data in the existing data graph is the existing data of the encyclopedia database, which leads to the limitation of the existing knowledge graph for event and real-time Data cannot be effectively grasped.

[0072] To solve this problem, the intelligent robot-oriented human-computer interaction method provided in this embodiment can continuously expand the content of the knowledge graph, thereby solving the problems of insufficient data volume and single data extraction method in the existing knowledge graph.

[0073] Specifically, such as Figure 4 As shown, the method provided in this embodiment acquires the question information input by the user in step S40...

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Abstract

The invention discloses a human-computer interaction method and device oriented to an intelligent robot. The method comprises the following steps: mutual information acquisition: acquiring problem information input by a user; and feedback information generation: utilizing a preset mapping knowledge domain, and combining with obtained eventful information and / or real-time information to generate feedback information which aims at the problem information. The method can effectively make up the defects of the insufficient data size and little structural information of the mapping knowledge domain so as to be favorable for more accurately generating the feedback information which aims at the problem information, so that the intelligent robot can more vividly output relevant answers in real time, and the user viscosity of the intelligent robot is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent robots, in particular to a human-computer interaction method and device for intelligent robots. Background technique [0002] A knowledge graph is essentially a semantic network, a graph-based data structure consisting of nodes and edges. In the knowledge graph, each node represents an "entity" that exists in the real world, and each edge represents the "relationship" between entities. Knowledge graphs are the most effective representation of relationships. In layman's terms, a knowledge graph is a relational network obtained by connecting all different types of information together. Therefore, more and more interactive systems are now using knowledge graphs to realize dialogues with intelligent robots. [0003] However, existing knowledge graphs are often constructed based on dictionary data such as encyclopedia data (such as Baidu Baike, Wikipedia, etc.). When using this type of knowledg...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9032
CPCG06F16/90332
Inventor 朱臻
Owner BEIJING GUANGNIAN WUXIAN SCI & TECH
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