A Study on Competent Crawling Algorithm (CCA) for Web Search to Enhance Efficiency of Information Retrieval

被引：1

作者：

Saranya, S. ^{[1
]}

Zoraida, B. S. E. ^{[1
]}

Paul, P. Victor ^{[2
]}

机构：

[1] Bharathidasan Univ, Dept Comp Sci & Engn, Tiruchirappalli 620023, India

[2] Teknuance Info Solut, Madras 600099, Tamil Nadu, India

来源：

ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 2 | 2015年 / 325卷

关键词：

Web search crawling algorithm; BFS Web search algorithm; Web crawler; URL address; CCA;

D O I：

10.1007/978-81-322-2135-7_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Today's Web is very huge and evolving continually in dynamic nature. Search engines are the interface to retrieve information from huge repository of the World Wide Web. Due to the difficulty in accessing the information from massive storage of Web, search engines depend on the crawlers for locating and retrieving relevant Web pages. A Web crawler is a software system, which systematically finds and retrieves Web pages from the Web documents. Crawlers use many Web search algorithms for retrieving Web pages. This paper proposes a competent Web search crawling algorithm, which is derived from page rank and BFS Web search algorithm to enhance the efficiency of the relevant information search. In this paper, an attempt has been made to study and examine the work nature of crawlers and crawling algorithms in search engines for efficient information retrieval.

引用

页码：9 / 16

页数：8