TL;DRAbstract
With the increase in Web-based databases and dynamically- generated Web pages, the concept of the “deep Web” has arisen. The deep Web refers to Web content that, while it may be freely and publicly accessible, is stored, queried, and retrieved through a database and one or more search interfaces, rendering the Web content largely hidden from conventional search and spidering techniques. These methods are adapted to a more static model of the “surface Web”, or series of static, linked Web pages. The amount of deep Web data is truly staggering; a July 2000 study claimed 550 billion documents (Bergman, 2000), while a September 2004 study estimated 450,000 deep Web databases (Chang, He, Li, Patel, & Zhang, 2004). In pursuit of a truly searchable Web, it comes as no surprise that the deep Web is an important and increasingly studied area of research in the field of Web mining. The challenges include issues such as new crawling and Web mining techniques, query translation across multiple
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With the increase in Web-based databases and dynamically- generated Web pages, the concept of the “deep Web” has arisen. The deep Web refers to Web content that, while it may be freely and publicly accessible, is stored, queried, and retrieved through a database and one or more search interfaces, rendering the Web content largely hidden from conventional search and spidering techniques. These methods are adapted to a more static model of the “surface Web”, or series of static, linked Web pages. The amount of deep Web data is truly staggering; a July 2000 study claimed 550 billion documents (Bergman, 2000), while a September 2004 study estimated 450,000 deep Web databases (Chang, He, Li, Patel, & Zhang, 2004). In pursuit of a truly searchable Web, it comes as no surprise that the deep Web is an important and increasingly studied area of research in the field of Web mining. The challenges include issues such as new crawling and Web mining techniques, query translation across multiple
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