A Research of the Internet Based on Web Information Extraction and Data Fusion

2011 ◽  
pp. 195-206
Author(s):  
Yajun Jiang ◽  
Zaoliang Wu ◽  
Zengrong Zhan ◽  
Lingyu Xu
Keyword(s):  
Data Fusion ◽  
Information Extraction ◽  
The Internet ◽  
Web Information Extraction ◽  
Web Information

Design and Implementation of Web Extraction System of Ceramic Products’ Information in the Business Website

2014 ◽  
Vol 989-994 ◽  
pp. 4322-4325
Author(s):  
Mu Qing Zhan ◽  
Rong Hua Lu
Keyword(s):  
Information Extraction ◽  
Search Engine ◽  
Extraction System ◽  
The Internet ◽  
Extraction Technology ◽  
Web Information Extraction ◽  
Design And Implementation ◽  
Web Extraction ◽  
Web Information ◽  
The Web

In the means of getting information from the Internet, the Web information extraction technology which can get more precise and more granular information is different from Search Engine, this article presents the technical route of Web information exaction of ceramic products’ information on the basis of analyzing the developing status of Web information extraction technology at home and abroad, and makes the extraction rules, and develops a set of extraction system, and acquires the relevant ceramic products’ information.

A Web Information Extraction Method Based on HTML Parser

2013 ◽  
Vol 774-776 ◽  
pp. 1802-1806
Author(s):  
Zhi Ming Zhang ◽  
Shuai Shuai Huang ◽  
Ping Li
Keyword(s):  
Information Extraction ◽  
Extraction Method ◽  
Rapid Development ◽  
Extraction Time ◽  
The Internet ◽  
Regular Expressions ◽  
Web Information Extraction ◽  
Amount Of Information ◽  
Web Information ◽  
Html Parser

With the rapid development of Internet, and surge in the amount of information on the Internet, how to accurately and quickly get the information of the users really need, such as the title, links, and pictures, is the hotspot. This paper proposed a fast web information extraction method based on html parser, this paper validated the effect of the proposed method by extracting commodities information of e-commerce website, the results show that the accuracy of the information extraction by our method is higher than the extraction method based on regular expressions, and the extraction time is greatly shortened.

scholarly journals Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System

2021 ◽  
pp. 99-110
Author(s):  
Mohammad Ali Tofigh ◽  
◽  
◽  
Zhendong Mu
Keyword(s):  
Information Extraction ◽  
Product Quality ◽  
Hot Spot ◽  
Safety System ◽  
Agricultural Product ◽  
Quality And Safety ◽  
Web Information Extraction ◽  
Web Information ◽  
Product Quality And Safety ◽  
The Web

With the development of society, people pay more and more attention to the safety of food, and relevant laws and policies are gradually introduced and being improved. The research and development of agricultural product quality and safety system has become a research hot spot, and how to obtain the Web information of the system effectively and quickly is the focus of the research, so it is essential to carry out the intelligent extraction of Web information for agricultural product quality and safety system. The purpose of this paper is to solve the problem of how to efficiently extract the Web information of the agricultural product quality and safety system. By studying the Web information extraction methods of various systems, the paper makes a detailed analysis and research on how to realize the efficient and intelligent extraction of the Web information of the agricultural product quality and safety system. This paper analyzes in detail all kinds of template information extraction algorithms used at present, and systematically discusses a set of schemes that can automatically extract the Web information of agricultural product quality and safety system according to the template. The research results show that the proposed scheme is a dynamically extensible information extraction system, which can independently implement dynamic configuration templates according to different requirements without changing the code. Compared with the general way, the Web information extraction speed of agricultural product quality safety system is increased by 25%, the accuracy is increased by 12%, and the recall rate is increased by 30%.

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