Web 3.0 may be constructed with artificial intelligence (AI), semantic web, and ubiquitous properties in mind. The idea behind using AI comes from the goal of providing faster, more relevant data to end-users. A website using AI should be able to filter through and provide the data it thinks a specific user will find appropriate. Social bookmarking as a search engine can provide better results than Google since the results are websites that have been voted on by users. However, these results can also be manipulated by humans. AI could be used to separate the legitimate results from the falsified, therefore producing results similar to social bookmarking and social media, but without bad feedback.
An artificially intelligent web will also introduce virtual assistants, an element that is already emerging today as an aspect built into a device or through third-party apps.
The idea behind the semantic web is to categorize and store information in a way that helps teach a system what specific data means. In other words, a website should be able to understand words put in search queries the same way a human would, enabling it to generate and share better content. This system will also use AI; semantic web will teach a computer what the data means and then AI will take the information and use it.
Ubiquitous computing refers to embedded processing in everyday objects, which enables the intercommunication of devices in a user’s environment. This is thought to be another property that Web 3.0 will have. The concept is similar to the Internet of Things.
The technologies which will make up these properties include microformats, data mining, natural language search, and machine learning. Web 3.0 will also be more focused on peer-to-peer (P2P) technologies such as blockchain. Other technologies such as open APIs, data formats, and open-sourced software may also be used while developing Web 3.0 applications.