Just for the sake of argument, let us assume an internet where your computer can interpret any input you throw at it. This includes searching through text, voice, or any other media whatsoever. Not to mention, any consumable content is perfectly tailor-made for you. 

In fact, we are at the doorsteps of this revolutionary phase of the internet. Not to mention, some of the use cases of Web 3.0 have already been set to move through various web infrastructures. That is why, in this article, we are going to discuss everything you should know about Web 3.0. 

Also Read: What is Metaverse? Everything You Need to Know!

What Properly Defines Web 3.0? 

If you are wondering what is Web 3.0, it is basically the third iteration of the internet where apps and websites can interact in a human-like manner through the efforts of technologies such as Machine Learning, Big Data, Decentralized Ledger Technology (DLT), and more.  

Tim Berners-Lee, the inventor of the World Wide Web (www) initially coined the term Semantic Web to define Web 3.0. Web 3.0 envisions interacting with data in a decentralized manner, creating an interconnection among various networks. 

This, in turn, would be a huge leap from the current generation (Web 2.0). Furthermore, Web 3.0 strives to create a seamless interaction between the user and machine ensuring a more conceptual and contextual understanding of the information. 

Evolution of Web 3.0

Considering the pace of technological advancements, the evolution of Web 3.0 from its older generation is evident. Combining the web tools currently present and the backup of cutting-edge technology such as Artificial intelligence and Machine learning, Web 3.0 is going to be the internet of the people. Here’s how the internet evolved over the course of years: 

1. Web 1.0 (1989-2005)

Also known as the Static Web, Web 1.0 was the era when the internet was first introduced back in the 1990s. Apart from offering limited information, there was almost negligible user interaction whatsoever.  

These are the times when commenting on an article wasn’t even a thing. Not to mention, Web 1.0 wasn’t backed by complex algorithms, as a result, users could hardly find relevant information. During this time, curating content was only done by a selected few with the majority of the information coming from directories

2. Web 2.0 (2005-Present)

Web 2.0 also known as the Social Web, introduced the idea of interaction among users, all thanks to the advancements in web technologies such as HTML5, JavaScript, CSS3, etc. Around this time, tech startups such as YouTubeWikipedia, and Facebook emerged to the surface. 

This created the opportunity for social networking websites and user-generated content, where data was distributed and shared among several platforms. Currently, we are in the midst of transitioning from Web 2.0 to Web 3.0. 

3. Web 3.0 (Yet to Come)

This next iteration of the internet is going to process information with Artificial Intelligence, where smart programs would assist users in every way possible. The term Semantic Web best defines this version of the internet.  

Web 3.0 can automatically create an interface among its users and connected smart devices. This, in turn, would result in tailored made content curated for individual users. 

Salient Features of Web 3.0

Web 3.0 offers more on the table than anticipated. To understand better, here are some of the most prominent features of Web 3.0 that set it apart from previous generations: 

1. Semantic Web

Semantic Web backed by AI is the cornerstones of Web 3.0. Its semantic nature allows the computers to recognize data while utilizing it to its fullest potential. The idea is to interconnect all information throughout the internet while generating and sharing the content with users. 

Not to mention, the semantic database in Web 3.0 allows better connectivity among data. This, in turn, can offer a rich user experience while leveraging all the information available to the user. 

2. Artificial Intelligence 

what is artificial intelligence

Artificial Intelligence is the backbone behind the entire Web 3.0 and Blockchain technology. AI enables websites to filter out irrelevant data while presenting the most appropriate result to the user. 

This is where user-generated content allows us to churn out good data from the bad ones. One of the best examples is how the website Rotten Tomatoes work. Allows users to vote on movies, users can find the good movies to watch. 

3. 3D Graphics

Long gone are the days of 2D graphics that we are so accustomed to on our smartphones. With the advent of the metaverse and virtual presence, users can easily interact with 3D design be it on online games, e-commerce platforms, or even real estate. In fact, Augmented Reality (AR), Virtual Reality (VR) as well as Mixed Reality (XR) have a huge role to play in it.  

4. Ubiquitous 

Ubiquitous refers to the idea of being everywhere all at the same time, omnipresent. Although this feature is already present in Web 2.0, it can be elevated to many folds in the next iteration. 

The best example is how sharing an image on Instagram, you can reach out to a large audience. With Web 3.0 this is going to be possible with anything that connects over to the internet.  

Limitations to Web 3.0

With all the bells and whistles of Web 3.0, there are still some major challenges that the next internet evolution needs to overcome. Some of the most prominent ones include: 

  • Vastness: Not to mention, the entire internet is huge, and this, in turn, can create significant chaos while implementing new regulations. With each year, as the internet keeps growing, search engines need to implement robust systems that can keep up with such a vast amount of data. 
  • Utterly Vague: This goes without saying, not every user is going to search for completely unique terms. Without specific user logic, it can become a complete nightmare to present the most relevant search results. This is where fuzzy logic is implemented to deal with vagueness. 
  • Uncertainty and Inconsistency: There are several instances where the internet needs to work with uncertain data. For example, if a patient search for a particular set of symptoms that correlates to a plethora of ailments, it can be very hard to offer proper diagnostics. This is where probabilistic reasoning can be implemented. 
  • Deceitful Content: Last but not least, the AI implemented by the search engine should be able to filter out wrong and misleading information. A large resource should be dedicated to a particular purpose. 

The Final Words: Web 3.0

So that was everything you needed to know about getting yourself accustomed to the next internet revolution. Although whatever we discussed within the article might just be the tip of the ice-burg. 

Either way now is the best time ever to experience yet another mind-boggling change on the internet. So, let us know in the comment section below, what are your thoughts on Web 3.0? 


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