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Deep Web Wiki is a volunteer-led search organization that maintains a database containing detailed descriptions of so-called "Deep Web" sites that are either ignored or poorly indexed by the major search engines; it is estimated that ~95 to 99% of Web-accessible content cannot be reached using conventional web crawling methods. The Deep Web Wiki also contains other useful information sites that often are not popular enough to rank on the first few pages of search engine's results--despite their value.The Deep Web Wiki depends on the efforts of Web users to build the wiki and improve the quality and accuracy of site descriptions. Contributions to the index can be made either anonymously or by signing up for a free membership that allows members to track their contributions and watch pages of interest.

A web search engine is designed to search for information on the World Wide Web and FTP servers. The search results are generally presented in a list of results and are often called hits. The information may consist of web pages, images, information and other types of files. Some search engines also mine data available in databases or open directories. Unlike Web directories, which are maintained by human editors, search engines operate algorithmically or are a mixture of algorithmic and human input.

A metasearch engine is a search tool[1] that sends user requests to several other search engines and/or databases and aggregates the results into a single list or displays them according to their source. Metasearch engines enable users to enter search criteria once and access several search engines simultaneously. Metasearch engines operate on the premise that the Web is too large for any one search engine to index it all and that more comprehensive search results can be obtained by combining the results from several search engines. This also may save the user from having to use multiple search engines separately.

Databases and e-resources at the Library of Congress / Web Search Tools

PlagiarismDetection.org offers an innovative, user-friendly online tool that helps students and instructors with detection and prevention of academic plagiarism. Our sophisticated, yet easy-to-use detector conducts thorough and in-detail detection for plagiarism of a submitted document within a few minutes only. The plagiarism detection software is designed to leave no chances for plagiarized works and runs against all the available Internet resources, including websites, digital databases and online libraries (such as Questia, ProQuest, etc.). As a result, the program underlines the plagiarized parts of the text and indicates the original source the passage was initially taken from. Finally, PlagiarismDetection.org generates a full report, indicating the overall originality rating and the percentage of plagiarized materials in the submitted text. Customer has an opportunity to share plagiarism reports with other people by simply giving them the link, generated by our program.

Our database consists of more than 465994 pdf files and becomes bigger every day! Just enter the keywords in the search field and find what you are looking for! Search results include manual name, description, size and number of pages. You can either read manual online or download it to your computer. Moreover, documents can be shared on social networks.