Abstract
Large and continuously growing dynamic web content has created new opportunities for large-scale data analysis in the recent years. There is huge amount of information that the traditional web crawlers cannot access, since they use link analysis technique by which only the surface web can be accessed. Traditional search engine crawlers require the web pages to be linked to other pages via hyperlinks causing large amount of web data to be hidden from the crawlers. Enormous data is available in deep web that can be useful to gain new insight for various domains, creating need to access the information from the deep web by developing efficient techniques. As the amount of Web content grows rapidly, the types of data sources are proliferating, which often provide heterogeneous data. So we need to select Deep Web Data sources that can be used by the integration systems. The paper discusses various techniques that can be used to surface the deep web information and techniques for Deep Web Source Selection.
Highlights
Tremendous increase in collection of web content has created new opportunities for large-scale data analysis
In [7], an effective and scalable approach for selection of deep web source based on quality of data source is proposed for the deep web data integration system
Hidden Web content can be accessed by Deep Web Crawlers that can fill and submit forms to query the online databases for information extraction
Summary
Tremendous increase in collection of web content has created new opportunities for large-scale data analysis. Most of the search engines access only the Surface Web, which is a part of web that can be discovered by following hyperlinks and downloading the snapshots of pages for including them in the search engine’s index [2]. Deep web consists of following types of content: Dynamic Data: Data that can only be accessed through the query interface they support. These interfaces are based on input attribute(s), and a user query involves specifying value(s) for these attributes. The information in the deep web is about 500 times larger than the surface web, with 7,500 Terabytes of data, across 200,000 deep web sites [6] This wealth of information is missed since the standard search engines cannot find the information generated by dynamic sites. There is a need to access the data that is deep by developing efficient techniques
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