A significant part of the information available on the Web is stored in online databases which
compose what is known as Hidden Web or Deep Web. In order to access information from …

We focus on enhancing the user experience by predicting entries when a form is filled,
according to past interactions. The purpose of having a predictive model of form filling is to …

In the era of big data, the vast majority of the data are not from the surface Web, the Web that
is interconnected by hyperlinks and indexed by most general purpose search engines …

Due to digital preservation and new generation technology Deep Web increasing faster than
Surface Web, it's necessary to public accessible content also retrieving on general search …

The Deep Web is the portion of the Internet that cannot be crawled nor indexed by common
web search engines. The idea behind the Deep Web is to host web content on a …

In this chapter, architecture specification of a deep web crawler is discussed. The crawler
has indexer with the capability to fetch huge documents from both surface and deep web …

How to find new products is a challenge issue because of it can bring a new business
opportunity for shopkeepers selling online. A hybrid approach for new products discovery of …

In the era of big data, the vast majority of the data are not from the surface web, the web that
is interconnected by hyperlinks and indexed by most general-purpose search engines such …

Suitable architecture specification of a deep web crawler with surface web crawler as well as
indexer is proposed for fetching large number of documents from deep web using rules. The …

Currently, the volume of the textual data in the Web grows exponentially and most data are
hidden behind web query interfaces. Efficiently crawling the data attracts more attention from …