Computer Science and Information Systems | |
A Scale for Crawler Effectiveness on the Client-Side Hidden Web | |
Vıctor M. Prieto1  | |
[1] Comunication and Information Technologies Department, University of A Coruna | |
关键词: Web Search; Crawlers; Hidden Web; Web Spam; JavaScript; | |
DOI : 10.2298/CSIS111215015P | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Computer Science and Information Systems | |
【 摘 要 】
The main goal of this study is to present a scale that classifies crawling systems according to their effectiveness in traversing the âclientsideâ Hidden Web. First, we perform a thorough analysis of the different client-side technologies and the main features of the web pages in order to determine the basic steps of the aforementioned scale. Then, we define the scale by grouping basic scenarios in terms of several common features, and we propose some methods to evaluate the effectiveness of the crawlers according to the levels of the scale. Finally, we present a testing web site and we show the results of applying the aforementioned methods to the results obtained by some open-source and commercial crawlers that tried to traverse the pages. Only a few crawlers achieve good results in treating client-side technologies. Regarding standalone crawlers, we highlight the open-source crawlers Heritrix and Nutch and the commercial crawler WebCopierPro, which is able to process very complex scenarios. With regard to the crawlers of the main search engines, only Google processes most of the scenarios we have proposed, while Yahoo! and Bing just deal with the basic ones. There are not many studies that assess the capacity of the crawlers to deal with client-side technologies. Also, these studies consider fewer technologies, fewer crawlers and fewer combinations. Furthermore, to the best of our knowledge, our article provides the first scale for classifying crawlers from the point of view of the most important client-side technologies.
【 授权许可】
CC BY-NC-ND
【 预 览 】
Files | Size | Format | View |
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RO201904028734307ZK.pdf | 4227KB | download |