想象一种新型的互联网，它不仅可以准确地解释您输入的内容，而且实际上可以理解您通过文本、语音或其他媒体传达的所有内容，您所消费的所有内容都比以往任何时候都更加适合您。我们正处于网络发展新阶段的临界点。一些早期的先驱者称之为 Web 3.0。

可以说，今天已经存在一些早期的 Web 3.0 应用程序，但是在新的互联网完全嵌入 Web 基础设施之前，它们的真正潜力是无法观察到的。

但是 Web 3.0 到底是什么，它会是什么样子，它将如何改变我们的生活？

与我们一起展示加密货币革命，一次一份时事通讯。立即订阅，与我们的数百万其他订阅者一起在您的收件箱中获取每日新闻和市场更新（没错，数百万人爱我们！）——您还在等什么？

Web 3.0 是即将到来的第三代互联网，网站和应用程序将能够通过机器学习 (ML)、大数据、去中心化账本技术 (DLT) 等技术以类似人类的智能方式处理信息。 Web 3.0最初被万维网发明者蒂姆·伯纳斯-李称为语义网，旨在成为一个更加自主、智能和开放的互联网。

The Web 3.0 definition can be expanded as follows: data will be interconnected in a decentralized way, which would be a huge leap forward to our current generation of the internet (Web 2.0), where data is mostly stored in centralized repositories.

Furthermore, users and machines will be able to interact with data. But for this to happen, programs need to understand information both conceptually and contextually. With this in mind, the two cornerstones of Web 3.0 are semantic web and artificial intelligence (AI).

As Web 3.0 networks will operate through decentralized protocols — the founding blocks of blockchain and cryptocurrency technology — we can expect to see a strong convergence and symbiotic relationship between these three technologies and other fields. They will be interoperable, seamlessly integrated, automated through smart contracts and used to power anything from micro transactions in Africa, censorship-resistant P2P data file storage and sharing with applications like Filecoin, to completely changing every company conduct and operate their business. The current slew of DeFi protocols are just the tip of the iceberg.

There are a few details that we need to keep in mind when looking into Web 3.0 tech. First of all, the concept isn’t new. Jeffrey Zeldman, one of the early developers of Web 1.0 and 2.0 applications, had written a blog post putting his support behind Web 3.0 back in 2006. But talks around this topic had begun as early as 2001.

Web 3.0 will be born out of a natural evolution of older-generation web tools combined with cutting-edge technologies like AI and blockchain, as well the interconnection between users and increasing internet usage. Apparently, Internet 3.0 is an upgrade to its precursors: web 1.0 and 2.0.

Web 1.0, also called the Static Web, was the first and most reliable internet in the 1990s despite only offering access to limited information with little to no user interaction. Back in the day, creating user pages or even commenting on articles weren’t a thing.

Web 1.0 didn't have algorithms to sift internet pages, which made it extremely hard for users to find relevant information. Simply put, it was like a one-way highway with a narrow footpath where content creation was done by a select few and information came mostly from directories.

The Social Web, or Web 2.0, made the internet a lot more interactive thanks to advancements in web technologies like Javascript, HTML5, CSS3, etc., which enabled startups to build interactive web platforms such as YouTube, Facebook, Wikipedia and many more.

This paved the way for both social networks and user-generated content production to flourish since data can now be distributed and shared between various platforms and applications.

The set of tools in this internet era was pioneered by a number of web innovators like the aforementioned Jeffrey Zeldman.

Web 3.0 is the next stage of the web evolution that would make the internet more intelligent or process information with near-human-like intelligence through the power of AI systems that could run smart programs to assist users.

Tim Berners-Lee had said that the Semantic Web is meant to "automatically" interface with systems, people and home devices. As such, content creation and decision-making processes will involve both humans and machines. This would enable the intelligent creation and distribution of highly-tailored content straight to every internet consumer.

To really understand the next stage of the internet, we need to take a look at the four key features of Web 3.0:

• Ubiquity

• Semantic Web

• Artificial Intelligence

• 3D Graphics

Ubiquity means being or having the capacity to be everywhere, especially at the same time. In other words, omnipresent. In that sense, Web 2.0 is already ubiquitous since, for instance, a Facebook user can instantly capture an image and share it, which then becomes ubiquitous since it's available to anyone no matter where they are, as long as they have access to the social media platform.

Web 3.0 simply takes this a step further by making the internet accessible to everyone anywhere, at any time. At some point, internet-connected devices will no longer be concentrated on computers and smartphones like in Web 2.0 since IoT (Internet of Things) technology will bring forth a plethora of  new types of smart devices.

Semantic(s) is the study of the relationship between words. Therefore, the Semantic Web, according to Berners-Lee, enables computers to analyze loads of data from the Web, which includes content, transactions and links between persons. In practice, how would this look? Let’s take these two sentences, for instance:

1. I love Bitcoin

2. I <3 Bitcoin

Their syntax may be different, but their semantics are pretty much the same, since semantics only deals with the meaning or emotion of the content.

Applying semantics in the Web would enable machines to decode meaning and emotions by analyzing data. Consequently, internet users will have a better experience driven by enhanced data connectivity.

Wikipedia defines AI as intelligence demonstrated by machines.

And since Web 3.0 machines can read and decipher the meaning and emotions conveyed by a set of data, it brings forth intelligent machines. Although Web 2.0 presents similar capabilities, it is still predominantly human-based, which opens up room for corrupt behaviors such as biased product reviews, rigged ratings, etc.

For instance, online review platforms like Trustpilot provide a way for consumers to review any product or service. Unfortunately, a company can simply gather a large group of people and pay them to create positive reviews for its undeserving products. Therefore, the internet needs AI to learn how to distinguish the genuine from the fake in order to provide reliable data.

Google’s AI system recently removed around 100,000 negative reviews of the Robinhood app from the Play Store following the Gamespot trading debacle when it detected attempts of rating manipulation intended to artificially downvote the app. This is AI in action, which will soon seamlessly fit into Internet 3.0, enabling blogs and other online platforms to sift data and tailor them to each user's liking. As AI advances, it will ultimately be able to provide users with the best filtered and unbiased data possible.

Some futurists also call Web 3.0 the Spatial Web as it aims to blur the line between the physical and the digital by revolutionizing graphics technology, bringing into clear focus three-dimensional (3D) virtual worlds.

Unlike their 2D counterparts, 3D graphics bring a new level of immersion not only in futuristic gaming applications like Decentraland, but also other sectors like real estate, health, e-commerce, and many more.

A common requirement for a Web 3.0 application is the ability to digest large-scale information and turn it into factual knowledge and useful executions for users. With that being said, these applications are still at their early stages, which means that they have a lot of room for improvement and are a far cry from  how Web 3.0 apps could potentially function.

Some of the companies that are building or have products that they are transforming into Internet 3.0 applications are Amazon, Apple and Google. Two examples of applications that utilize Web 3.0 technologies are Siri and Wolfram Alpha.

Over the years, Apple’s voice-controlled AI assistant has grown more intelligent and has expanded its abilities since its first appearance in the iPhone 4S model. Siri uses speech recognition, along with artificial intelligence, to be able to perform complex and personalized commands.

Today, Siri and other AI assistants like Amazon’s Alexa and Samsung’s Bixby can understand requests such as “where is the nearest burger joint” or “book an appointment with Sasha Marshall at 8:00 am tomorrow” and immediately come up with the right information or action.

Wolfram Alpha is a “computational knowledge engine” that answers your questions directly by computation, as opposed to giving you a list of webpages like search engines do. If you want a practical comparison, search “england vs brazil” on both Wolfram Alpha and Google and see the difference.

Google gives the results of the World Cup even if you didn’t include “football” as a keyword, since it is the most popular search. Alpha, on the other hand, would give you a detailed comparison of the two countries, like you asked. That’s the key difference between Web 2.0 and 3.0.

新的互联网将提供更个性化和定制化的浏览体验、更智能、更人性化的搜索助手，以及其他分散的好处，希望有助于建立一个更公平的网络。这将通过授权每个用户成为其数据的主权者来实现，并通过一旦到位就会出现的无数创新来创造更丰富的整体体验。

当 Web 3.0 不可避免地到来时——考虑到智能设备已经如何改变了我们的行为模式，很难理解——互联网将成倍地融入我们的日常生活。

化应用程序所有参与者的所有参与者的所有参与者、所有参与者的所有参与者、所有参与者的所有参与者、所有参与者的所有参与者、所有参与者的所有参与者、我们所有参与者的所有参与者参与者的所有参与者和所有参与者的动力设备（所有参与者、所有参与者和所有所有参与者的动力）。

本文包含第三方网站或其他内容的链接，仅供参考（“第三方网站”）。第三方网站不受 CoinMarketCap 控制，CoinMarketCap 不对任何第三方网站的内容负责，包括但不限于第三方网站中包含的任何链接，或对第三方网站的任何更改或更新——派对现场。CoinMarketCap 向您提供这些链接只是为了方便，包含任何链接并不意味着 CoinMarketCap 对该网站或其运营商的认可、批准或推荐。本文旨在用于且必须仅用于提供信息的目的。在做出与所描述的任何产品或服务相关的任何重大决定之前，进行自己的研究和分析非常重要。本文无意，也不应被解释为财务建议。本文中表达的观点和观点是作者 [公司] 自己的观点和观点，并不一定反映 CoinMarketCap 的观点。

想象一种新型的互联网，它不仅可以准确地解释您输入的内容，而且实际上可以理解您通过文本、语音或其他媒体传达的所有内容，您所消费的所有内容都比以往任何时候都更加适合您。我们正处于网络发展新阶段的临界点。一些早期的先驱者称之为 Web 3.0。

可以说，今天已经存在一些早期的 Web 3.0 应用程序，但是在新的互联网完全嵌入 Web 基础设施之前，它们的真正潜力是无法观察到的。

但是 Web 3.0 到底是什么，它会是什么样子，它将如何改变我们的生活？

与我们一起展示加密货币革命，一次一份时事通讯。立即订阅，与我们的数百万其他订阅者一起在您的收件箱中获取每日新闻和市场更新（没错，数百万人爱我们！）——您还在等什么？

Web 3.0 是即将到来的第三代互联网，网站和应用程序将能够通过机器学习 (ML)、大数据、去中心化账本技术 (DLT) 等技术以类似人类的智能方式处理信息。 Web 3.0最初被万维网发明者蒂姆·伯纳斯-李称为语义网，旨在成为一个更加自主、智能和开放的互联网。

The Web 3.0 definition can be expanded as follows: data will be interconnected in a decentralized way, which would be a huge leap forward to our current generation of the internet (Web 2.0), where data is mostly stored in centralized repositories.

Furthermore, users and machines will be able to interact with data. But for this to happen, programs need to understand information both conceptually and contextually. With this in mind, the two cornerstones of Web 3.0 are semantic web and artificial intelligence (AI).

As Web 3.0 networks will operate through decentralized protocols — the founding blocks of blockchain and cryptocurrency technology — we can expect to see a strong convergence and symbiotic relationship between these three technologies and other fields. They will be interoperable, seamlessly integrated, automated through smart contracts and used to power anything from micro transactions in Africa, censorship-resistant P2P data file storage and sharing with applications like Filecoin, to completely changing every company conduct and operate their business. The current slew of DeFi protocols are just the tip of the iceberg.

There are a few details that we need to keep in mind when looking into Web 3.0 tech. First of all, the concept isn’t new. Jeffrey Zeldman, one of the early developers of Web 1.0 and 2.0 applications, had written a blog post putting his support behind Web 3.0 back in 2006. But talks around this topic had begun as early as 2001.

Web 3.0 will be born out of a natural evolution of older-generation web tools combined with cutting-edge technologies like AI and blockchain, as well the interconnection between users and increasing internet usage. Apparently, Internet 3.0 is an upgrade to its precursors: web 1.0 and 2.0.

Web 1.0, also called the Static Web, was the first and most reliable internet in the 1990s despite only offering access to limited information with little to no user interaction. Back in the day, creating user pages or even commenting on articles weren’t a thing.

Web 1.0 didn't have algorithms to sift internet pages, which made it extremely hard for users to find relevant information. Simply put, it was like a one-way highway with a narrow footpath where content creation was done by a select few and information came mostly from directories.

The Social Web, or Web 2.0, made the internet a lot more interactive thanks to advancements in web technologies like Javascript, HTML5, CSS3, etc., which enabled startups to build interactive web platforms such as YouTube, Facebook, Wikipedia and many more.

This paved the way for both social networks and user-generated content production to flourish since data can now be distributed and shared between various platforms and applications.

The set of tools in this internet era was pioneered by a number of web innovators like the aforementioned Jeffrey Zeldman.

Web 3.0 is the next stage of the web evolution that would make the internet more intelligent or process information with near-human-like intelligence through the power of AI systems that could run smart programs to assist users.

Tim Berners-Lee had said that the Semantic Web is meant to "automatically" interface with systems, people and home devices. As such, content creation and decision-making processes will involve both humans and machines. This would enable the intelligent creation and distribution of highly-tailored content straight to every internet consumer.

To really understand the next stage of the internet, we need to take a look at the four key features of Web 3.0:

• Ubiquity

• Semantic Web

• Artificial Intelligence

• 3D Graphics

Ubiquity means being or having the capacity to be everywhere, especially at the same time. In other words, omnipresent. In that sense, Web 2.0 is already ubiquitous since, for instance, a Facebook user can instantly capture an image and share it, which then becomes ubiquitous since it's available to anyone no matter where they are, as long as they have access to the social media platform.

Web 3.0 simply takes this a step further by making the internet accessible to everyone anywhere, at any time. At some point, internet-connected devices will no longer be concentrated on computers and smartphones like in Web 2.0 since IoT (Internet of Things) technology will bring forth a plethora of  new types of smart devices.

Semantic(s) is the study of the relationship between words. Therefore, the Semantic Web, according to Berners-Lee, enables computers to analyze loads of data from the Web, which includes content, transactions and links between persons. In practice, how would this look? Let’s take these two sentences, for instance:

1. I love Bitcoin

2. I <3 Bitcoin

Their syntax may be different, but their semantics are pretty much the same, since semantics only deals with the meaning or emotion of the content.

Applying semantics in the Web would enable machines to decode meaning and emotions by analyzing data. Consequently, internet users will have a better experience driven by enhanced data connectivity.

Wikipedia defines AI as intelligence demonstrated by machines.

And since Web 3.0 machines can read and decipher the meaning and emotions conveyed by a set of data, it brings forth intelligent machines. Although Web 2.0 presents similar capabilities, it is still predominantly human-based, which opens up room for corrupt behaviors such as biased product reviews, rigged ratings, etc.

For instance, online review platforms like Trustpilot provide a way for consumers to review any product or service. Unfortunately, a company can simply gather a large group of people and pay them to create positive reviews for its undeserving products. Therefore, the internet needs AI to learn how to distinguish the genuine from the fake in order to provide reliable data.

Google’s AI system recently removed around 100,000 negative reviews of the Robinhood app from the Play Store following the Gamespot trading debacle when it detected attempts of rating manipulation intended to artificially downvote the app. This is AI in action, which will soon seamlessly fit into Internet 3.0, enabling blogs and other online platforms to sift data and tailor them to each user's liking. As AI advances, it will ultimately be able to provide users with the best filtered and unbiased data possible.

Some futurists also call Web 3.0 the Spatial Web as it aims to blur the line between the physical and the digital by revolutionizing graphics technology, bringing into clear focus three-dimensional (3D) virtual worlds.

Unlike their 2D counterparts, 3D graphics bring a new level of immersion not only in futuristic gaming applications like Decentraland, but also other sectors like real estate, health, e-commerce, and many more.

A common requirement for a Web 3.0 application is the ability to digest large-scale information and turn it into factual knowledge and useful executions for users. With that being said, these applications are still at their early stages, which means that they have a lot of room for improvement and are a far cry from  how Web 3.0 apps could potentially function.

Some of the companies that are building or have products that they are transforming into Internet 3.0 applications are Amazon, Apple and Google. Two examples of applications that utilize Web 3.0 technologies are Siri and Wolfram Alpha.

Over the years, Apple’s voice-controlled AI assistant has grown more intelligent and has expanded its abilities since its first appearance in the iPhone 4S model. Siri uses speech recognition, along with artificial intelligence, to be able to perform complex and personalized commands.

Today, Siri and other AI assistants like Amazon’s Alexa and Samsung’s Bixby can understand requests such as “where is the nearest burger joint” or “book an appointment with Sasha Marshall at 8:00 am tomorrow” and immediately come up with the right information or action.

Wolfram Alpha is a “computational knowledge engine” that answers your questions directly by computation, as opposed to giving you a list of webpages like search engines do. If you want a practical comparison, search “england vs brazil” on both Wolfram Alpha and Google and see the difference.

Google gives the results of the World Cup even if you didn’t include “football” as a keyword, since it is the most popular search. Alpha, on the other hand, would give you a detailed comparison of the two countries, like you asked. That’s the key difference between Web 2.0 and 3.0.

新的互联网将提供更个性化和定制化的浏览体验、更智能、更人性化的搜索助手，以及其他分散的好处，希望有助于建立一个更公平的网络。这将通过授权每个用户成为其数据的主权者来实现，并通过一旦到位就会出现的无数创新来创造更丰富的整体体验。

当 Web 3.0 不可避免地到来时——考虑到智能设备已经如何改变了我们的行为模式，很难理解——互联网将成倍地融入我们的日常生活。

化应用程序所有参与者的所有参与者的所有参与者、所有参与者的所有参与者、所有参与者的所有参与者、所有参与者的所有参与者、所有参与者的所有参与者、我们所有参与者的所有参与者参与者的所有参与者和所有参与者的动力设备（所有参与者、所有参与者和所有所有参与者的动力）。

本文包含第三方网站或其他内容的链接，仅供参考（“第三方网站”）。第三方网站不受 CoinMarketCap 控制，CoinMarketCap 不对任何第三方网站的内容负责，包括但不限于第三方网站中包含的任何链接，或对第三方网站的任何更改或更新——派对现场。CoinMarketCap 向您提供这些链接只是为了方便，包含任何链接并不意味着 CoinMarketCap 对该网站或其运营商的认可、批准或推荐。本文旨在用于且必须仅用于提供信息的目的。在做出与所描述的任何产品或服务相关的任何重大决定之前，进行自己的研究和分析非常重要。本文无意，也不应被解释为财务建议。本文中表达的观点和观点是作者 [公司] 自己的观点和观点，并不一定反映 CoinMarketCap 的观点。