Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Expert learning fitting method and system for natural semantic meanings in enterprise information

A technology of enterprise information and natural semantics, applied in the field of expert learning and fitting methods and systems

Inactive Publication Date: 2017-10-24
辛柯俊
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of the existing technology is that there is a lack of a way to analyze the relationship between enterprises

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
  • Expert learning fitting method and system for natural semantic meanings in enterprise information
  • Expert learning fitting method and system for natural semantic meanings in enterprise information
  • Expert learning fitting method and system for natural semantic meanings in enterprise information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0029] Such as figure 1 As shown, the expert learning and fitting method for natural semantics in enterprise information in the embodiment of the present invention includes the following steps:

[0030] Step S1, crawling enterprise names and enterprise information on the Internet.

[0031] In one embodiment of the present invention, the crawled data sources include: corporate official websites, advertising yellow pages, industry portals, and the like. It should be noted that the crawled data sources are not limited to the above...

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 discloses an expert learning fitting method and system for natural semantic meanings in enterprise information. The method comprises the following steps of: crawling an enterprise name and enterprise information on internet; carrying out word segmentation on the obtained enterprise information; establishing an enterprise search website, allowing a user to input the enterprise name or a keyword to carry out search, detecting vocabularies clicked by the user and automatically starting the search for the vocabularies; carrying out statistic on a clicking frequency, for each word, of the user, filtering a plurality of vocabularies with high clicking frequencies to serve as feature vocabularies of the enterprise, and creating a novel dictionary by utilizing the vocabularies; taking common features among enterprises as connection points, and connecting different enterprises to form an incidence relation map among the enterprises; and searching business related enterprises associated with the enterprise according to the incidence relation map among the enterprises. According to the method and system, an expert interactive learning system is imported, and the knowledges of related structures of industrial chains are learnt, so that structures of industrial chains among related enterprises are automatically fit.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to an expert learning and fitting method and system for natural semantics in enterprise information. Background technique [0002] Most of the existing enterprise information comprehensive websites simply list enterprise information, and are mainly aimed at the information summary and analysis of a single enterprise. The disadvantage of the prior art is that there is a lack of a way to analyze the interrelationships between enterprises. Among them, how to analyze the basic information of each enterprise, and then identify the meaning of the enterprise information through natural semantics, so as to realize the automatic analysis of the enterprise relationship by computer, is a technical problem that needs to be solved at present. Contents of the invention [0003] The aim of the present invention is to solve at least one of said technical drawbacks. [0004] Therefore,...

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): G06F17/30G06F17/27G06Q10/06
CPCG06F16/2462G06F16/951G06F16/9535G06F40/284G06F40/30G06Q10/0631
Inventor 辛柯俊
Owner 辛柯俊
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com