The Semantic Information Retrieval Model Based on Differential Information Fusion

WANG Zhe

Chinese

您当前的位置：

首页 >

文章列表页 >

The Semantic Information Retrieval Model Based on Differential Information Fusion

更新时间：2026-09-04

- The Semantic Information Retrieval Model Based on Differential Information Fusion
- Vol. 31, Issue 8, Pages: 159-162(2014)
- 作者机构：
  
  1. 河南中医学院信息技术学院,河南,郑州,450046
  2. 东华大学信息科学与技术学院,上海,201620
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
王哲. 基于差异化信息融合的语义信息检索模型[J]. 微电子学与计算机, 2014, 31(8): 159-162,166.

WANG Zhe. The Semantic Information Retrieval Model Based on Differential Information Fusion[J]. 2014, 31(8): 159-162.
王哲. 基于差异化信息融合的语义信息检索模型[J]. 微电子学与计算机, 2014, 31(8): 159-162,166. DOI：

WANG Zhe. The Semantic Information Retrieval Model Based on Differential Information Fusion[J]. 2014, 31(8): 159-162. DOI：

摘要

研究语义信息检索方法

提高检索的效率.差异化信息由于特征差异过大

在检索过程中存在较大排异现象

传统的语义信息检索模型针对大差异信息检索过程中

以多轮次检测为主

效率很低.为此

提出一种基于决策树算法的语义信息检索方法.根据多层次解析融合相关理论

计算窗口函数

并且根据窗口函数进行不同层次数据的融合

得到差异信息融合结果.根据上述结果

建立决策树

实现语义信息的检索.实验结果表明

利用改进算法进行语义信息检索

能够提高检索的效率.

Abstract

The research of semantic information retrieval method

improve the efficiency of retrieval.Differentiated information due to the characteristics of the difference is too big

the larger rejection in the retrieval process

the traditional semantic information retrieval model in view of the large differences in the process of information retrieval

is given priority to with testing rounds

efficiency is very low.For this

put forward a kind of semantic information retrieval method based on decision tree algorithm.Calculate according to the related theory

multi-level analytic fusion window function

and based on window function for different levels of data fusion

the differences in information fusion results are obtained.Based on the above results

the establishment of a decision tree

realization of semantic information retrieval.Experimental results show that the improved algorithm of semantic information retrieval

and can improve the efficiency of retrieval.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Microservices anomaly detection based on the correlation of monitoring metrics

Aerial small object detection algorithm based on improved RT-DETR

Research on assembly action recognition based on MSS-YOLO-MPHands fusion architecture

Aerial vehicle detection algorithm based on multi-scale fusion and small-object enhancement

A review of large model development: technological evolution from BERT to Deepseek

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰