Web Pages Ranking with Domain Ontology

被引：0
|
作者：
Zhou, Mingji [1 ]
Liu, Jin [1 ]
Zheng, Yuhui [2 ]
机构：
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING | 2018年 / 474卷
关键词：
Webpage ranking; Domain ontology; Search engine;
D O I：
10.1007/978-981-10-7605-3_85
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the growth of internet, web pages ranking algorithm is becoming increasingly important for search engines. The traditional web page ranking algorithm is based on hyperlinks without considering the semantic information of the web pages, which result in inaccurate search results. In recent years, researchers have tried various methods to understand the content of web pages, and have proposed many web page sorting algorithms based on semantic understanding. In this paper, a web page ranking algorithm called DOPR based on domain ontology is proposed. The results show that DOPR has higher accuracy and feasibility than other ranking algorithms.
引用
收藏
页码：516 / 521
页数：6
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