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One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.
Portal technology is therefore more standardized and mature. Over time, increasing maturity and standardization of mashup technology will likely make it more popular than portal technology because it is more closely associated with Web 2.0 and lately Service-oriented Architectures (SOA). [7]
A LAMP (Linux, Apache, MySQL, Perl/PHP/Python) is one of the most common software stacks for the web's most popular applications. Its generic software stack model has largely interchangeable components. [1] Each letter in the acronym stands for one of its four open-source building blocks: Linux for the operating system; Apache HTTP Server
Full-stack development refers to the practice of designing, building, and maintaining the entire software stack of a web application. This includes both the frontend (client-side) and backend (server-side) components, as well as the database and any other necessary infrastructure. A full-stack developer is someone who has expertise in working ...
Web development may use content management systems (CMS) to make content changes easier and available with basic technical skills. For larger organizations and businesses, web development teams can consist of hundreds of people (web developers) and follow standard methods like Agile methodologies while developing websites.
The Semantic Web Stack, also known as Semantic Web Cake or Semantic Web Layer Cake, illustrates the architecture of the Semantic Web. The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C). [1] The standard promotes common data formats on the World Wide Web.
The Web platform is a collection of technologies developed as open standards by the World Wide Web Consortium and other standardization bodies such as the Web Hypertext Application Technology Working Group, the Unicode Consortium, the Internet Engineering Task Force, and Ecma International. [1]
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).