Web Data Extraction

The unabated growth of the Web has resulted in a situation in which more information is available to more people than ever in human history. Along with this unprecedented growth has come the inevitable problem of information overload. To counteract this information overload, users typically rely on search engines (like Google and AllTheWeb) or on manually-created categorization hierarchi]]> 

Web Data Extraction

The unabated growth of the Web has resulted in a situation in which more information is available to more people than ever in human history. Along with this unprecedented growth has come the inevitable problem of information overload. To counteract this information overload, users typically rely on search engines (like Google and AllTheWeb) or on manually-created categorization hierarchi]]>http://webmining.inube.com/feeds/comments/http://webmining.inube.com/blog/21050/web2db-web-data-extraction-top-10-uses/http://webmining.inube.com/blog/21050/web2db-web-data-extraction-top-10-uses/#commentsMon, 16 Jun 2008 11:21:25 +0300webmininghttp://webmining.inube.com/

1. Building Contact Lists & Sales Leads

2. Extracting Product Catalogs (Name,Description,Price,Stock...)

3. Aggregating Real Estate Info(Name, Location, Price, Owner, Contact...)

4. Automating Search Ad Listings

5. Clipping News Articles (Title, Body, Keywords,Source...)

6. Automating Auction Sites

7. Extracting Gambling Odds

8. Legal Notices (Foreclosures, etc)

9. Server Migration (CMS, Commerce)

10. Unspecified Mi]]>

1. Building Contact Lists & Sales Leads

2. Extracting Product Catalogs (Name,Description,Price,Stock...)

3. Aggregating Real Estate Info(Name, Location, Price, Owner, Contact...)

4. Automating Search Ad Listings

5. Clipping News Articles (Title, Body, Keywords,Source...)

6. Automating Auction Sites

7. Extracting Gambling Odds

8. Legal Notices (Foreclosures, etc)

9. Server Migration (CMS, Commerce)

10. Unspecified Mi]]>http://webmining.inube.com/feeds/comments/http://webmining.inube.com/blog/21049/wrapper-definition/http://webmining.inube.com/blog/21049/wrapper-definition/#commentsMon, 16 Jun 2008 11:19:58 +0300webmininghttp://webmining.inube.com/

Wrappers are specialised program routines that
automatically extract data from Internet websites and convert the information
into a structured format. More specifically, wrappers have three main
functions. Firstly, they must be able to
download HTML pages from a website. Secondly, search for, recognise and extract
specified data. Thirdly, save this data in a suitably structured format to
enable further manipulation [6]. The ]]>

Wrappers are specialised program routines that
automatically extract data from Internet websites and convert the information
into a structured format. More specifically, wrappers have three main
functions. Firstly, they must be able to
download HTML pages from a website. Secondly, search for, recognise and extract
specified data. Thirdly, save this data in a suitably structured format to
enable further manipulation [6]. The ]]>http://webmining.inube.com/feeds/comments/http://webmining.inube.com/blog/21048/free-software/http://webmining.inube.com/blog/21048/free-software/#commentsMon, 16 Jun 2008 11:18:47 +0300webmininghttp://webmining.inube.com/