Web 3
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In Web 1.0, the exchange of data was typically limited compared to the capabilities of later web iterations. While basic forms and limited data submission were possible, the level of interactivity and data exchange was relatively restricted compared to Web 2.0 and beyond.
Websites were typically built using HTML (Hypertext Markup Language) and CSS (Cascading Style Sheets) to structure and style the content. The webpages were typically stored as static files on web servers and served to users upon request.
The focus was on delivering content to users rather than providing interactive experiences or dynamic functionality.
Web 2.0, on the other hand, introduced significant advancements in data exchange and interactivity. With the rise of technologies like AJAX (Asynchronous JavaScript and XML), server-side scripting, and APIs, Web 2.0 facilitated greater data exchange, user-generated content, and interactive features.
All interactions are governed by central third-party who benefit commercially from the service exchange. They may also own and control the digital assets that end users create.
For example, centralized freelancer platforms connect freelancers with customers, and room-share platforms connect property owners with renters. Both service providers and service users create data like service profiles, service descriptions, user profiles, blogs, videos, and comments. The platforms centrally manage all of this data.
Web 3.0 emphasizes a shift towards decentralization, utilizing blockchain technology and distributed ledger systems, is to distribute and store data in decentralized networks. In these networks. Individual users can control where their data resides instead of handing it over to a centralized infrastructure. Decentralized internet users can sell their own data if they want to.
Web 3.0 aims to enhance the web's ability to understand and interpret information. It involves the use of semantic technologies, such as the Resource Description Framework (RDF) and ontologies, to structure data in a machine-readable format. This enables better data integration, automated reasoning, and enhanced search and discovery capabilities.