Semantic analysis intelligent instruction robot applied to logistics management software

A management software and semantic analysis technology, applied in semantic analysis, special data processing applications, instruments, etc., can solve problems such as inaccurate parameters, inability to provide variable support, ambiguity, etc., to achieve quick learning, human-computer interaction, and The effect of improving operational efficiency

Inactive Publication Date: 2017-02-15
成都诺铱科技有限公司 +1
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the interface of intelligent robots, users can only input vague and inaccurate parameters close to daily language habits, and it is impossible to input precise parameters similar to UUID
[0018] Second, when operating on the traditional operation interface, different pages represent different business scenarios, and the pages themselves hide some contextual information. operation, the system will automatically map to the operation target resource "waybill" in the background of the system
[0021] The second difficulty is how to construct the final system executable instructions and accurate description information through the natural l

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Semantic analysis intelligent instruction robot applied to logistics management software
  • Semantic analysis intelligent instruction robot applied to logistics management software
  • Semantic analysis intelligent instruction robot applied to logistics management software

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0103] The specific implementation process of the system includes several aspects: how the developer expands the instruction resource library under the framework of the instruction analysis engine; including how to expand the primary response instruction resource of the instruction resource library, so as to realize the semantic analysis of the natural language commands input by the user. Analysis, the second is how to expand the secondary response instruction resources of the instruction resource library to realize the mapping and combination of instructions and finally execute AJAX commands and description texts that are fed back to customers. Finally, at the application level, how the operator operates the intelligent command robot and the operation effect in the system is introduced.

[0104] How to extend the extension command library:

[0105] When the system has a new function, and the intelligent command robot is required to implement and control the new function...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention refers the conventional natural language analysis technology, and discloses a language analysis and instruction analysis algorithm based on large logistics management software. In one aspect, instruction information of an instruction of a natural language input by a user can be extracted through a semantic analysis engine, wherein the instruction information includes key information such as an instruction operation target, an operation command and parameters; in the other aspect, an execution demand of the user and an actual resource condition of a system is combined through an instruction analysis engine, and an executable scheme including an AJAX format command and description information is fed back to the user; and a semantic analysis intelligent instruction robot applied to logistics management software is established by combination of the two aspects, the user can directly input a natural language type instruction to directly operate the logistics management software, and the fuzziness and ambiguity of the natural language can be supported to some extent; the problem that the conventional management software is complex in interface, and an operator is difficult to operate the conventional management software can be solved; man-machine interaction is humanized and simple; and the operation efficiency is high.

Description

[0001] Technical field: [0002] Based on the logistics management software platform, the present invention draws on the existing natural language analysis technology, independently develops a series of algorithms and procedures for language analysis and instruction analysis applied to logistics management software, and can perform natural language commands input by users. Analysis, and to a certain extent support the ambiguity and ambiguity of user input in natural language, and build an intelligent command robot that can directly operate logistics management software. Users can directly operate the logistics management software by inputting languages. The technical platform that the present invention relies on is a comprehensive logistics management software. Aiming at the common problems of complex interfaces, cumbersome operations, and difficulty for users in large-scale management software, using the intelligent command robot created by the present invention, users can use ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/3329G06F40/30
Inventor 张航
Owner 成都诺铱科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products