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  2. Google Scholar - Wikipedia

    en.wikipedia.org/wiki/Google_Scholar

    Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...

  3. Search engine (computing) - Wikipedia

    en.wikipedia.org/wiki/Search_engine_(computing)

    Sometimes, data searched contains both database content and web pages or documents. Search engine technology has developed to respond to both sets of requirements. Most mixed search engines are large Web search engines, like Google. They search both through structured and unstructured data sources. Take for example, the word ‘ball.’

  4. Google Earth - Wikipedia

    en.wikipedia.org/wiki/Google_Earth

    Google Earth is a web and computer program that renders a 3D representation of Earth based primarily on satellite imagery.The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angles.

  5. Google Patents - Wikipedia, the free encyclopedia

    en.wikipedia.org/wiki/Google_Patents

    Wikipedia entry for Google Patents.Google Patents is a search engine from Google that indexes patents and patent applications from the United States Patent and Trademark Office.

  6. Dogpile - Wikipedia

    en.wikipedia.org/wiki/Dogpile

    The Dogpile search engine earned the J.D. Power and Associates award for best Residential Online Search Engine Service in both 2006 [13] and 2007. [14] In August 2008, Dogpile and Petfinder agreed to a search partnership. [15] In November 2008, Dogpile launched its "Search and Rescue" program, which donates money to animal-related charities. [16]

  7. Google data centers - Wikipedia

    en.wikipedia.org/wiki/Google_data_centers

    Like most search engines, Google indexes documents by building a data structure known as inverted index. Such an index obtains a list of documents by a query word. The index is very large due to the number of documents stored in the servers. [90] The index is partitioned by document IDs into many pieces called shards.

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