Search engine in the context of Web page


Search engine in the context of Web page

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⭐ Core Definition: Search engine

A search engine is a software system that provides hyperlinks to web pages, and other relevant information on the Web in response to a user's query. The user enters a query in a web browser or a mobile app, and the search results are typically presented as a list of hyperlinks accompanied by textual summaries and images. Users also have the option of limiting a search to specific types of results, such as images, videos, or news.

For a search provider, its engine is part of a distributed computing system that can encompass many data centers throughout the world. The speed and accuracy of an engine's response to a query are based on a complex system of indexing that is continuously updated by automated web crawlers. This can include data mining the files and databases stored on web servers, although some content is not accessible to crawlers.

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Search engine in the context of Google Ngrams

The Google Books Ngram Viewer is an online search engine that charts the frequencies of any set of search strings using a yearly count of n-grams found in printed sources published between 1500 and 2022 in Google's text corpora in English, Chinese (simplified), French, German, Hebrew, Italian, Russian, or Spanish.There are also some specialized English corpora, such as American English, British English, and English Fiction.

The program can search for a word or a phrase, including misspellings or gibberish. The n-grams are matched with the text within the selected corpus, and if found in 40 or more books, are then displayed as a graph. The Google Books Ngram Viewer supports searches for parts of speech and wildcards. It is routinely used in research.

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Search engine in the context of Cataloging

In library and information science, cataloging (US) or cataloguing (UK) is the process of creating metadata representing information resources, such as books, sound recordings, moving images, etc. Cataloging provides information such as author's names, titles, and subject terms that describe resources, typically through the creation of bibliographic records. The records serve as surrogates for the stored information resources. Since the 1970s these metadata are in machine-readable form and are indexed by information retrieval tools, such as bibliographic databases or search engines. While typically the cataloging process results in the production of library catalogs, it also produces other types of discovery tools for documents and collections.

Bibliographic control provides the philosophical basis of cataloging, defining the rules that sufficiently describe information resources, and enable users to find and select the most appropriate resource. A cataloger is an individual responsible for the processes of description, subject analysis, classification, and authority control of library materials. Catalogers serve as the "foundation of all library service, as they are the ones who organize information in such a way as to make it easily accessible".

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Search engine in the context of Yahoo! Japan

Yahoo! Japan (ヤフー, Yafū) is a Japanese web portal. It was the most-visited website in Japan in October 2018, and among the top 50 worldwide.

In 2020, Yahoo! Japan was the 4th most visited website in Japan and contains many services outside search, including auctions, weather, and mapping services. In terms of use as a search engine, however, it has never surpassed Google. The company is the second largest search engine used in Japan as of July 2021, with a market share of 19% behind Google's 77%.

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Search engine in the context of Google

Google LLC (/ˈɡ.ɡəl/ , GOO-gəl) is an American multinational technology corporation focused on information technology, online advertising, search engine technology, email, cloud computing, software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as "the most powerful company in the world" by the BBC, and is one of the world's most valuable brands. Google's parent company Alphabet Inc. has been described as a Big Tech company.

Google was founded on September 4, 1998, by American computer scientists Larry Page and Sergey Brin. Together, they own about 14% of its publicly listed shares and control 56% of its stockholder voting power through super-voting stock. The company went public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Google is Alphabet's largest subsidiary and is a holding company for Alphabet's internet properties and interests. Sundar Pichai was appointed CEO of Google on October 24, 2015, replacing Larry Page, who became the CEO of Alphabet. On December 3, 2019, Pichai also became the CEO of Alphabet.

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Search engine in the context of Route planning

A journey planner, trip planner, or route planner is a specialized search engine used to find an optimal means of travelling between two or more given locations, sometimes using more than one transport mode. Searches may be optimized on different criteria, for example fastest, shortest, fewest changes, cheapest. They may be constrained, for example, to leave or arrive at a certain time, to avoid certain waypoints, etc. A single journey may use a sequence of several modes of transport, meaning the system may know about public transport services as well as transport networks for private transportation.

Trip planning or journey planning is sometimes distinguished from route planning, which is typically thought of as using private modes of transportation such as cycling, driving, or walking, normally using a single mode at a time. Trip or journey planning, in contrast, would make use of at least one public transport mode which operates according to published schedules; given that public transport services only depart at specific times (unlike private transport which may leave at any time), an algorithm must therefore not only find a path to a destination, but seek to optimize it so as to minimize the waiting time incurred for each leg. In European Standards such as Transmodel, trip planning is used specifically to describe the planning of a route for a passenger, to avoid confusion with the completely separate process of planning the operational journeys to be made by public transport vehicles on which such trips are made.

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Search engine in the context of Phone book

A telephone directory, commonly called a telephone book, telephone address book, phonebook, or the white and yellow pages, is a listing of telephone subscribers in a geographical area or subscribers to services provided by the organization that publishes the directory. Its purpose is to allow the telephone number of a subscriber identified by name and address to be found.

The advent of the Internet, search engines, and smartphones in the 21st century greatly reduced the need for a paper phone book. Some communities, such as Seattle and San Francisco, sought to ban their unsolicited distribution as wasteful, unwanted and harmful to the environment.

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Search engine in the context of List of academic databases and search engines

This page contains a representative list of major databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see:

  • the general list of search engines for all-purpose search engines that can be used for academic purposes
  • the article about bibliographic databases for information about databases giving bibliographic information about finding books and journal articles.

Note that "free" or "subscription" can refer both to the availability of the database or of the journal articles included. This has been indicated as precisely as possible in the list:

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Search engine in the context of Google Search

Google Search (also known simply as Google or google.com) is a search engine operated by Google. It allows users to search for information on the Web by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. Google Search is the most-visited website in the world. As of 2025, Google Search has a 90% share of the global search engine market. Approximately 24.1% of Google's monthly global traffic comes from the United States, 5.6% from India, 5.5% from Japan, 4.8% from Brazil, and 3.7% from the United Kingdom according to data provided by Similarweb. The same source reports that 58% of users are male and 42% are female.

The order of search results returned by Google is based, in part, on a priority rank system called "PageRank". Google Search also provides many different options for customized searches, using symbols to include, exclude, specify or require certain search behavior, and offers specialized interactive experiences, such as flight status and package tracking, weather forecasts, currency, unit, and time conversions, word definitions, and more.

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Search engine in the context of Full-text search

In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

In a full-text search, a search engine examines all of the words in every stored document as it tries to match search criteria (for example, text specified by a user). Full-text-searching techniques appeared in the 1960s, for example IBM STAIRS from 1969, and became common in online bibliographic databases in the 1990s. Many websites and application programs (such as word processing software) provide full-text-search capabilities. Some web search engines, such as the former AltaVista, employ full-text-search techniques, while others index only a portion of the web pages examined by their indexing systems.

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Search engine in the context of Video search

A video search engine is a web-based search engine which crawls the web for video content. Some video search engines parse externally hosted content while others allow content to be uploaded and hosted on their own servers. Some engines also allow users to search by video format type and by length of the clip. The video search results are usually accompanied by a thumbnail view of the video.

Video search engines are computer programs designed to find videos stored on digital devices, either through Internet servers or in storage units from the same computer. These searches can be made through audiovisual indexing, which can extract information from audiovisual material and record it as metadata, which will be tracked by search engines.

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Search engine in the context of Baidu

Baidu, Inc. (/ˈbd/ BY-doo; Chinese: 百度; pinyin: Bǎidù; lit. 'hundred times') is a Chinese multinational technology company specializing in Internet services and artificial intelligence. It holds a dominant position in China's search engine market (via Baidu Search), and provides a wide variety of other internet services such as Baidu App (Baidu's flagship app for search and newsfeed), Baidu Baike (an online user created Wikipedia-like encyclopedia), iQIYI (a video streaming service), and Baidu Tieba (a keyword-based discussion forum similar to Reddit).

Besides its core internet search business, Baidu has diversified into several high-growth areas. The company is a player in autonomous driving (Baidu Apollo), and smart consumer electronics (Xiaodu). With over a decade of investment in artificial intelligence, Baidu is one of the few tech companies globally to offer a full-service AI stack, including software, chips, cloud infrastructure, foundation models, and applications.

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Search engine in the context of Yandex

Yandex LLC (Russian: Яндекс, romanizedYandeks, IPA: [ˈjandəks] ) is a Russian technology company that provides Internet-related products and services including a web browser, search engine, cloud computing, web mapping, online food ordering, streaming media, online shopping, and a ridesharing company.

Yandex Search is the largest search engine in Russia with an estimated 72% market share in Russia and a 2.8% market share worldwide. Yandex Taxi is the largest ridesharing company in Russia.

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Search engine in the context of OpenStreetMap

OpenStreetMap (OSM) is a map database maintained by a community of volunteers via open collaboration. Contributors collect data from surveys, trace from aerial photo imagery or satellite imagery, and import from other freely licensed geodata sources. OpenStreetMap is freely licensed under the Open Database License and is commonly used to make electronic maps, inform turn-by-turn navigation, and assist in humanitarian aid and data visualisation. OpenStreetMap uses its own data model to store geographical features which can then be exported into other GIS file formats. The OpenStreetMap website itself is an online map, geodata search engine, and editor.

OpenStreetMap was created by Steve Coast in response to the Ordnance Survey, the United Kingdom's national mapping agency, failing to release its data to the public under free licences in 2004. Initially, maps in OSM were created only via GPS traces, but it was quickly populated by importing public domain geographical data such as the U.S. TIGER and by tracing imagery as permitted by source. OpenStreetMap's adoption was accelerated by the development of supporting software and applications and Google Maps' 2012 introduction of pricing.

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Search engine in the context of Spell checker

In software, a spell checker (or spelling checker or spell check) is a software feature that checks for misspellings in a text. Spell-checking features are often embedded in software or services, such as a word processor, email client, electronic dictionary, or search engine.

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Search engine in the context of Index term

In information retrieval, an index term (also known as subject term, subject heading, descriptor, or keyword) is a term that captures the essence of the topic of a document. Index terms make up a controlled vocabulary for use in bibliographic records. They are an integral part of bibliographic control, which is the function by which libraries collect, organize and disseminate documents. They are used as keywords to retrieve documents in an information system, for instance, a catalog or a search engine. A popular form of keywords on the web are tags, which are directly visible and can be assigned by non-experts. Index terms can consist of a word, phrase, or alphanumerical term. They are created by analyzing the document either manually with subject indexing or automatically with automatic indexing or more sophisticated methods of keyword extraction. Index terms can either come from a controlled vocabulary or be freely assigned.

The term "descriptor" was by Calvin Mooers in 1948. It is in particular used about a preferred term from a thesaurus.

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