Moving from Web 1.0 to Web 3.0, the internet has become more interactive and intelligent. Over time, the internet’s focus has shifted to its consumers. We’ve also seen the rise of Big Data and Artificial Intelligence, both powering our current digital economy. The limelight has recently been shining on Web 4.0, bringing another stage in web paradigm evolution. Web 4 comprises several dimensions and is based on multiple models, technologies, and social relationships.
Looking back on this evolution will help us understand where we are going, and we are now exploring the future to see what Web 4 can offer.
Web 1.0 was created back in 1999. Web 1.0 is primarily a read-only web, with most sites being static and unidirectional. It does not allow for two-way communication. At the time, the early web only allowed users to search for and read information; Yahoo was the most popular search engine.
The next phase of the web, known as web 2.0, appeared between 2000 and 2009. The lack of active user interaction with the web resulted in the birth of Web 2.0, which had hundreds of millions of users worldwide. Furthermore, Web 2.0, also known as the read-write web, allows users to read, write, update, or modify content online.
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Web 3.0 is known as the semantic web because it is a read-write-execute web. The search engine not only looks for matching keywords but also for user behavior and preferences. Furthermore, social media and applications we use daily contribute to web 3.0. This data can be used across multiple spaces, accelerating global technological progress.
Web 4 is the fourth stage of the web’s evolution, adding more sophistication and intelligence. It is a decentralized and personalized internet known as the Intelligent internet. As a result of fully matured semantic and reasoning technologies and AI, Web 4 services will be autonomous, self-learning, collaborative, and proactive.
Web 4 connects all devices in the physical and virtual worlds in real-time, such as interacting with sensors and implants, VR services, and natural-language services like the Xiaomi smart home kit allowing you to control your home appliances from your mobile device.
The idea behind the symbiotic web is that once the metadata is organized (Web3.0), humans and machines can interact in a symbiosis where they can think and make decisions. Web 4 is predicted to be a symbiotic web with a symbiotic interaction between man and machine. At this point, it is assumed that AI would be advanced enough to predict human behavior and navigate the web. Augmented and virtual reality technologies will be used as an interface to capture the human experience fully. A point where the line between the man and the machine will be blurred, immersing the user with all their senses to explore the digital world.
| Specifics | Web 1.0 | Web 2.0 | Web 3.0 | Web 4.0 |
|---|---|---|---|---|
| Structure | Taxonomy | Tagging | Semantics | Intelligence |
| Interaction | You are required to find the information by yourself | Here, you can share the internet | Intelligent computer agents assist you | The computer understands your need. It then directs accordingly |
| Source | Companies duplicate functions and help keep them private | The algorithms used are open and standardized, and the redundancy is eliminated. | The codes are created automatically based on the function described | Code automatically adjusts and adapts to the performance and relevance |
| Rights | Here, all the copyrights are reserved. | The ability of different types of rights biased toward open sharing. | Free information is shared with no ownership. | The information is hidden as only AI understands the data. |
| Computing | Server(1)- Has dedicated machines for the task. | Grid(2D)-Cloud computing is used that automatically adjusts storage and processing | Cube(3D)-All machines are connected and utilized for the tasks performed. | Hypercube(ND)-As tasks are predicted, machine intelligence determines the best use across all known resources. |
| Response | Click and wait for the entire page to reload | Target load the information necessary in small pieces when requested. | Predict user actions and preload the data instantly | Predetermine the data by context and behavioral learning |
| Behavior | Request the information | Receive targeted information by profile | Information just before request based on predictive algorithms | The machine predicts and decides what information to send and when by sensory input. |
The “Internet of things” is a key concept in Web 4. The number of devices connected to the internet is rapidly increasing, and you can expect more devices connected to the internet in the future. Search engines are critical in information sourcing in the current Web 3.0. When you search for a specific keyword, such as “the fastest car in the world,” the search engine returns a list of web results. Web 4 can save time by eliminating several steps and becoming more direct.
Web 4 helps to improve connectivity and allows machines to operate more efficiently and with less human error. It is all around us, but it is still relatively new. You can see it with your mobile phone’s virtual assistants, such as Siri or Google. Users can choose the websites they wish to visit, the content they want to view, and the people they wish to communicate with. This personalization gives users a more tailored online experience that caters to their needs and interests. Web 4 is more mobile than ever and can be accessed anywhere. Below are some fundamental features of web 4.
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The internet is rapidly evolving, and new technologies and developments that affect human development are constantly emerging. This should not be overlooked. The internet has progressed from Web 1.0 to Web 4, and much has changed in its 50-year history. Web 4 will offer a more personalized and customized browsing experience, a smarter and more human-like search assistant, and other decentralized benefits that are hoped to create a more equitable web.
Distinguished by a more immersive and intuitive user experience, it will be enabled by virtual and augmented reality technologies, allowing users to interact with digital content more directly. This shift will significantly impact how people use the internet, and Web 4 may eventually replace traditional websites and apps. The potential of this web is now not blurry, and it is likely to play a significant role in the internet’s future.
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