The document proposes a two-stage "Smart Crawler" framework to efficiently harvest information from the deep web. In the first stage, the crawler performs site-based searching to avoid visiting many pages. In the second stage, it achieves fast in-site searching by excavating the most relevant links with an adaptive link-ranking. This approach allows the crawler to achieve both wide coverage and high efficiency when searching for information on a specific topic within the deep web.

1. Smart Crawler
A Two-stage Crawler for Efficiently
Harvesting Deep-Web Interfaces
Guide Name : G. Ashok Kumar Presented By
J.Madhu Sri
Jayant Kumar
B. Rohit
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2. The internet is a collection of billions of web pages
containing terabytes of information arranged in thousands
of servers using HTML. The size of this collection itself is
a challenge in retrieving necessary and relevant
information.
As deep web grows at a very pace, there has been increased
interest in techniques that help efficiently locate deep web
interface. Due the dynamic nature of deep web, achieving
wide coverage and high efficiency is challenging issue .
We propose a two-stage framework, namely“ Smart-
Crawler “ to present the relevant data effectively . To make
an efficient crawler that is able to accurately and quickly
explore the “Deep Web Databases”.

3. DEEP WEB

4. In the first stage, Smart-Crawler performs site-
based searching by avoiding visiting a large
number of pages.
In the second stage, Smart Crawler achieves fast in-
site searching by excavating most relevant links
with an adaptive link-ranking.
Previous work has proposed two types of crawlers,
Generic crawlers fetch all searchable forms and
cannot focus on a specific topic .
And Focused crawlers can automatically search
online databases on a specific topic.
EXISTING SYSTEM

5. Large quantity sources are displayed
Low quality forms also displayed as a output.
The crawler can be inefficiently led to pages withou
targeted forms.
DISADVANTAGES

6. PROPOSED SYSTEM
We propose an effective deep web harvesting framework,
namely Smart Crawler, for achieving both wide coverage and
high efficiency for a focused crawler.
Based on the observation that deep websites usually contain
a few searchable forms and most of them are within a depth
of three, our crawler is divided into two stages: site locating
and in-site exploring.
The site locating stage helps achieve wide coverage of sites
for a focused crawler, and the in-site exploring stage can
efficiently perform searches for web forms within a site.

7. Achieving more accurate results.
Control irrelevant forms
Provide high efficiency target forms
ADVANTAGES

8. HARDWARE REQUIREMENTS
• Processor : Pentium IV
• Hard Disk : 80GB
• RAM : 2GB

9. SOFTWARE REQUIREMENTS
• Language : JDK (1.7.0)
• Frontend : JSP, Servlet
• Backend : Oracle10g
• IDE : My Eclipse 8.6
• Operating System:Windows XP
• Server : Tomcat

10. ANY QUERIES ???

11. Thank You !!!