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

A Text Case Matching Method

A matching method and case technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of strengthening reasoning function, avoiding missed detection, and good query effect

Inactive Publication Date: 2017-02-15
CHINESE ACAD OF SURVEYING & MAPPING
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no method for better retrieval of some information that is not directly expressed in the text but implicit in the case

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
  • A Text Case Matching Method
  • A Text Case Matching Method
  • A Text Case Matching Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention provides a text case matching method, such as Figure 1 to Figure 4 shown, including:

[0028] Step 1. Collect cases from news or archives, and assemble the cases to build a case library;

[0029] Step 2. Extract keywords from the cases in the case base, and construct multiple keyword trees by using the upper and lower relationships between the keywords. The keywords on each keyword tree are keywords of the same category, synonyms Only one word is displayed between them, and the rest are hidden behind the word;

[0030] At the same time, the keywords extracted from each case are constructed into multiple forms such as Q={q 1 ,q 2 ,...q n}, the keywords in each tagged phrase are of the same category, and n represents the number of tagged words;

[0031] The keyword tree is obtained by extracting keywords from all the cases in the case library. The case library corresponds to a lot of keyword trees. This step is very critical, and it is the most...

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 relates to a method for matching textual cases. The method includes creating a case library; creating identification phrases; creating retrieval phrases; solving semantic distances; solving semantic similarity according to the semantic distances; distributing weights for the retrieval phrases; determining comprehensive similarity; determining a comprehensive similarity threshold value; judging whether matching for all the textual cases is completed or not and finally outputting matching results. The method has the advantages that reasoning can be carried out according to relevant concepts and relevant background knowledge, implicit information in texts can be mined, relevant retrieval modes can be weighted, and accordingly concept-based intelligent retrieval can be implemented; good query results can be acquired when the method is applied to actual systems.

Description

technical field [0001] The invention relates to the field of intelligent retrieval, in particular to a text case matching method. Background technique [0002] Case-based reasoning (CBR) is a new reasoning model that has been developed over the past three decades and is different from rule-based reasoning. It is an important way to solve and learn existing problems based on accumulated knowledge, emphasizing the importance that human beings attach to the knowledge and experience accumulated in the past and the wisdom crystallization of predecessors. The basic steps of a typical case reasoning problem solving process can be summarized into four main processes: case retrieval (Retrieve), case reuse (Reuse), case revision (Revise) and case preservation (Retain). The key to case reasoning is to retrieve the historical case that is closest to the current new case, that is, case retrieval, so that its solution can be directly used or slightly modified to deal with the current pro...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 陶坤旺张福浩仇阿根汤磊
Owner CHINESE ACAD OF SURVEYING & MAPPING
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