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List of Deep web research papers:
The Impact Of The Dark Web On Internet Governance And Cyber Security Research paper:
The Impact Of The Dark Web On Internet Governance And Cyber Security – The surface Web, which people use routinely, consists of data that search engines can find and then offer up in response to queries. This is only the tip of the iceberg — a traditional search engine sees about 0.03 percent of the information that is available (Bergman 2001). Much of the rest is submerged in what is called the deep Web. Also known as the “Undernet,” “invisible Web” and the “hidden Web,” it consists of data that cannot be located with a simple Google search. Read more and to download this deep web research paper click here.
Downloading Hidden Web Content Research paper:
Downloading Hidden Web Content – An ever-increasing amount of information on the Web today is available only through search interfaces: the users have to type in a set of keywords in a search form in order to access the pages from certain Web sites. These pages are often referred to as the Hidden Web or the Deep Web. Since there are no static links to the Hidden Web pages, search engines cannot discover and index such pages and thus do not return them in the results. However, according to recent studies, the content provided by many Hidden Web sites is often of very high quality and can be extremely valuable to many users. Read more and to download this deep web research paper click here.
A Look Inside The Internet’s Massive Black Box Research paper:
A Look Inside The Internet’s Massive Black Box – Many believe a Google search can identify most of the information available on the Internet on a given subject. But there is an entire online world – a massive one – beyond the reach of Google or any other search engine. Policymakers should take a cue from prosecutors – who just convicted one of its masterminds and start giving it some attention. Read more and to download this deep web research paper click here.
Sampling the National Deep Web Research paper:
Sampling the National Deep Web – A huge portion of today’s Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively unexplored and even major characteristics such as number of searchable databases on the Web or databases’ subject distribution are somewhat disputable. In this paper, we revisit a problem of deep Web characterization: how to estimate the total number of online databases on the Web? Read more and to download this deep web research paper click here.
Cross-Fertilizing Deep Web Analysis and Ontology Enrichment Research paper:
Cross-Fertilizing Deep Web Analysis and Ontology Enrichment – Deep Web databases, whose content is presented as dynamically generated Web pages hidden behind forms, have mostly been left un indexed by search engine crawlers. In order to automatically explore this mass of information, many current techniques assume the existence of domain knowledge, which is costly to create and maintain. In this article, we present a new perspective on form understanding and deep Web data acquisition that does not require any domain – specific knowledge. Unlike previous approaches, we do not perform the various steps in the process. Read more and to download this deep web research paper click here.
Searching for Hidden Web Databases Research paper:
Searching for Hidden Web Databases – Recently, there has been increased interest in the retrieval and integration of hidden Web data with a view to leverage high-quality information available in online databases. Although previous works have addressed many aspects of the actual integration, including matching form schemata and automatically filling out forms, the problem of locating relevant data sources has been largely overlooked. Given the dynamic nature of the Web, where data sources are constantly changing, it is crucial to automatically discover these resources. Read more and to download this deep web research paper click here.
Google’s Deep Web Crawl Research paper:
Google’s Deep Web Crawl – The Deep Web, i.e., content hidden behind HTML forms, has long been acknowledged as a significant gap in search engine coverage. Since it represents a large portion of the structured data on the Web, accessing Deep-Web content has been a long-standing challenge for the database community. This paper describes a system for surfacing Deep-Web content, i.e., pre-computing submissions for each HTML form and adding the resulting HTML pages into a search engine index. Read more and to download this deep web research paper click here.
Below the Surface – Exploring the Deep Web Research paper:
Below the Surface – Exploring the Deep Web – Interest in the Deep Web peaked in 2013 when the FBI took down the Silk Road marketplace and exposed the Internet’s notorious drug trafficking underbelly. Ross Ulbricht, aka Dread Pirate Roberts, was charged for narcotics trafficking, computer hacking conspiracy, and money laundering. While news reports were technically referring to the Dark Web – that portion of the Internet that can only be accessed using special browsing software, the most popular of which is TOR – negative stereotypes about the Deep Web spread. Read more and to download this deep web research paper click here.
Exploring the academic invisible web Research paper:
Exploring the academic invisible web – To provide a critical review of Bergman’s 2001 study on the deep web. In addition, we bring a new concept into the discussion, the academic invisible web (AIW). We define the academic invisible web as consisting of all databases and collections relevant to academia but not searchable by the general-purpose internet search engines. Indexing this part of the invisible web is central to scientific search engines. We provide an overview of approaches followed thus far. Read more and to download this deep web research paper click here.
The Mechanics of a Deep Net Metasearch Engine Research paper:
The Mechanics of a Deep Net Metasearch Engine – The Deep Net refers to the thousands of topic-specific search engines on the Internet, including those that are inaccessible to traditional crawler-based search engines. Commercial meta search engines have been slow to provide a simple, universal interface to these smaller topic -specific search engines. Turbo 10 has developed a commercial meta search engine that connects to these resources en masse. Read more and to download this deep web research paper click here.
Crawling the Hidden Web Research paper:
Crawling the Hidden Web – Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of Web pages reachable purely by following hypertext links, ignoring search forms and pages that require authorization or prior registration. In particular, they ignore the tremendous amount of high quality content “hidden” behind search forms, in large searchable electronic databases. In this paper, we address the problem of designing a crawler capable of extracting content from this hidden Web. Read more and to download this deep web research paper click here.
Understanding the deep Web in 10 Minutes Research paper:
Understanding the deep Web in 10 Minutes – Don’t worry if you don’t understand what the term “Deep Web” means. “Deep Web” is a vague description of the internet not necessarily accessible to search engines. The Deep Web is often misinterpreted as the “Dark Web”. While browsing the internet, the Deep Web is usually right in front of you, you may just not know it yet. Whether you are searching for unstructured Big Data or trying to answer narrowly targeted questions , it can typically be found somewhere within the millions of Deep Web sources. Read more and to download this deep web research paper click here.
The Deep Web-Surfacing Hidden Value Research paper:
The Deep Web-Surfacing Hidden Value – Searching on the Internet today can be compared to dragging a net across the surface of the ocean. While a great deal may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. The reason is simple: Most of the Web’s information is buried far down on dynamically generated sites, and standard search engines never find it. Traditional search engines create their indices by spidering or crawling surface Web pages. Read more and to download this deep web research paper click here.
Deepweb and Cybercrime Research paper:
Deepweb and Cybercrime – The term “deepweb” is used to denote a class of content on the Internet which, for different technical reasons, is not indexed by search engines. Among the different strategies in place to bypass search engine crawlers, the most efficient for malicious actors are so-called “darknets.” Darknets refer to a class of networks that aim to guarantee anonymous and untraceable access to Web content and anonymity for a site. Read more and to download this deep web research paper click here.
Deep Web Research and Discovery Resources 2015 Research paper:
Deep Web Research and Discovery Resources 2015 – In the last several years, some of the more comprehensive search engines have written algorithms to search the deeper portions of the world wide web by attempting to find files such as .pdf, .doc, .xls, ppt, .ps. and others. These files are predominately used by businesses to communicate their information within their organization or to disseminate information to the external world from their organization. Read more and to download this deep web research paper click here.
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