A search engine is a software system that finds web pages that match a web search. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). The information may be a mix of hyperlinks to web pages, images, videos, infographics, articles, and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories and social bookmarking sites, which are maintained by human editors, search engines also maintain real-time information by running an algorithm on a web crawler. Any internet-based content that cannot be indexed and searched by a web search engine falls under the category of deep web.
A system for locating published information intended to overcome the ever-increasing difficulty of locating information in ever-growing centralized indices of scientific work was described in 1945 by Vannevar Bush, who wrote an article in The Atlantic Monthly titled "As We May Think" in which he envisioned libraries of research with connected annotations not unlike modern hyperlinks. Link analysis would eventually become a crucial component of search engines through algorithms such as Hyper Search and PageRank.
The first internet search engines predate the debut of the Web in December 1990: WHOIS user search dates back to 1982, and the Knowbot Information Service multi-network user search was first implemented in 1989. The first well documented search engine that searched content files, namely FTP files, was Archie, which debuted on 10 September 1990.
Prior to September 1993, the World Wide Web was entirely indexed by hand. There was a list of webservers edited by Tim Berners-Lee and hosted on the CERN webserver. One snapshot of the list in 1992 remains, but as more and more web servers went online the central list could no longer keep up. On the NCSA site, new servers were announced under the title "What's New!".
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The anchor text, link label or link text is the visible, clickable text in an HTML hyperlink. The term "anchor" was used in older versions of the HTML specification for what is currently referred to as the a element, or . The HTML specification does not have a specific term for anchor text, but refers to it as "text that the a element wraps around". In XML terms (since HTML is XML), the anchor text is the content of the element, provided that the content is text. Usually, web search engines analyze anchor text from hyperlinks on web pages.
Un annuaire web, répertoire web, annuaire Internet ou répertoire Internet est un site web proposant une liste classée de sites Web. Le classement se fait typiquement dans une arborescence de catégories, censée couvrir tout ou partie des centres d'intérêt des visiteurs. Chaque catégorie contient des sous-catégories concernant des aspects plus pointus d'un sujet donné et des hyperliens vers les sites agrémentés d'une description.
La recherche d'information (RI) est le domaine qui étudie la manière de retrouver des informations dans un corpus. Celui-ci est composé de documents d'une ou plusieurs bases de données, qui sont décrits par un contenu ou les métadonnées associées. Les bases de données peuvent être relationnelles ou non structurées, telles celles mises en réseau par des liens hypertexte comme dans le World Wide Web, l'internet et les intranets. Le contenu des documents peut être du texte, des sons, des images ou des données.
Understanding the brain requires an integrated understanding of different scales of organisation of the brain. This Massive Open Online Course (MOOC) will take the you through the latest data, models
Understanding the brain requires an integrated understanding of different scales of organisation of the brain. This Massive Open Online Course (MOOC) will take the you through the latest data, models
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