NewNet-Crawling Deep Web

被引：0
|
作者：
Rai, Pradeep [1 ]
Singh, Shubha [2 ]
Yadav, Abhishek Singh [3 ]
机构：
[1] Kanpur Inst Technol, CSE Dept, Kanpur 208001, Uttar Pradesh, India
[2] Kanpur Inst Technol, MCA Dept, Kanpur 208001, Uttar Pradesh, India
[3] Res Associate Govt Projects, Bangalore 560002, Karnataka, India
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2010年 / 10卷 / 05期
关键词：
Deep Web; NewNet; Storewel; Hidden web; Search Techniques; Web Security; XML;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Deep web are the WebPages which are not directly located by the search engines. Extracting the desired output from the searched query is not appropriate because our internet data is not structured. The desired information may store in the form of static pages or may be in the form of database, etc. So crawling those data with the same techniques is not responsive. In this paper we describe a new techniques called as NewNet by using Storewel so that this hidden web will no longer remains invisible. The Storewel will work as interface for the web crawler. Any crawler has to access the Storewel and Storewel will guide the crawler for the desired output. It simply gives you the output as desired by the Web developer or rather Web content holder. The web developer has also the capability to show the content for his desired query. This NewNet can also be used for securing the web content.
引用
收藏
页码：129 / 132
页数：4
相关论文
共 50 条
  • [1] Deep Web crawling: a survey
    Hernandez, Inma
    Rivero, Carlos R.
    Ruiz, David
    WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2019, 22 (04): : 1577 - 1610
  • [2] Deep Web crawling: a survey
    Inma Hernández
    Carlos R. Rivero
    David Ruiz
    World Wide Web, 2019, 22 : 1577 - 1610
  • [3] An effective approach of web crawling for deep web
    Wang, Shunyan
    Wu, Binghua
    Zhong, Luo
    DCABES 2007 Proceedings, Vols I and II, 2007, : 855 - 858
  • [4] Deep Reinforcement Learning for Web Crawling
    Avrachenkov, Konstantin
    Borkar, Vivek
    Patil, Kishor
    2021 SEVENTH INDIAN CONTROL CONFERENCE (ICC), 2021, : 201 - 206
  • [5] Deep crawling in the semantic web: In search of deep knowledge
    Navas-Delgado, I
    Roldan-Garcia, MD
    Aldana-Montes, JF
    WEB INFORMATION SYSTEMS - WISE 2004, PROCEEDINGS, 2004, 3306 : 541 - 546
  • [6] An algorithm of deep web crawler's crawling
    Xiang Peisu
    Tian Ke
    Huang Qinzhen
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 1259 - +
  • [7] Learning Deep Web Crawling with Diverse Features
    Jiang, Lu
    Wu, Zhaohui
    Zheng, Qinghua
    Liu, Jun
    2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 1, 2009, : 572 - 575
  • [8] Crawling ranked deep Web data sources
    Yan Wang
    Jianguo Lu
    Jessica Chen
    Yaxin Li
    World Wide Web, 2017, 20 : 89 - 110
  • [9] Crawling ranked deep Web data sources
    Wang, Yan
    Lu, Jianguo
    Chen, Jessica
    Li, Yaxin
    WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2017, 20 (01): : 89 - 110
  • [10] CRAWLING DEEP WEB CONTENT THROUGH QUERY FORMS
    Liu, Jun
    Wu, Zhaohui
    Jiang, Lu
    Zheng, Qinghua
    Liu, Xiao
    WEBIST 2009: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, 2009, : 634 - +
12345