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Difference Between Web 3.0 Indexing and Web 2.0 Search Engines

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Difference Between Web 3.0 Indexing and Web 2.0 Search Engines

Web 3.0 has been talked about since the mid-2000s. There was a shift in how consumers use the Internet around 2005, particularly in China, South Korea and Japan. People started using the net for less social activities and more professional ones. Websites became effective tools because they could provide all kinds of functionality, including conducting business transactions online. Web 2.0 came along in 2007 and changed everything again. Its focus was on giving users control over their personal data and allowing them to create their websites quickly and easily.

What Are Web 3.0 and Web 2.0?

Web 3.0 refers to the current generation of internet technology, while web 2.0 refers to the previous generation. Both share similar traits but differ significantly in their approach to providing information.

Both web 2.0 and Web 3.0 have a lot in common. They both originated from the World Wide Web itself. A lot of the same technologies are used. Both rely on the same protocols and languages. But there are some major differences.

Web 2.0 mainly concerns user interactivity with other systems and devices. The creation and operation of Web 2.0 search engines were strengthened by using computer languages such as JavaScript, HTML, and CSS. Developers of Web 2.0 believed in the occurrence of community and social experience of people with the technology.

On the contrary, web 3.0 focuses more on content creation. Sites like Tumblr, Pinterest and Instagram are examples of this. These platforms allowed users to upload and post photos and text. They were built with a simple interface with little emphasis placed on content management systems. Most people who knew nothing about coding were able to publish something online.

Web 3.0 has integrated many developments such as NFTs, Blockchain, and DeFi. In Web 3.0, users are eligible to become DAOs. DAOs is a community-led organization where the users can vote and make decisions at any point. At least you can relax. No one can utilize your information without your consent. Even though Web 3.0 is built on Web. 2.0, it’s worth a short for the future. 

History of Search Indexes

In the past, search engines only indexed text-based documents such as books, newspapers and magazines. They didn’t index audio or image files because they couldn’t process those file formats. However, today’s search engines can process all kinds of multimedia data. Google’s Picasa introduced a photo gallery feature back in 2005. Flickr launched its photo-sharing service in 2004. YouTube started uploading videos in 2005, and Facebook added status updates to its profile in 2006. That’s why we are seeing Web 3.0 becoming increasingly popular.

As search technologies evolved, so did the type of searches performed. Before the widespread adoption of smartphones and tablet computers, most searches happened on desktops and laptops, but now we’ve moved to searching from multiple sources and devices. Since these kinds of searches require complex algorithms and computational resources, the indexing process takes longer. However, since Web 3.0 is becoming increasingly popular, we expect the time required to index and categorize web pages will decrease.

Differences in Web 3.0 Indexing and Web 2.0 Search Engines

Decentralization

Web 3.0 is more decentralized than the search engines of Web 2.0. Web.2.0 leverages the hypertext transfer protocol to scour for information, and its serves are located in precise locations. On the flip side, Web 3.0 uses indexing parameters that extract data from various Internet networks, meaning info is decentralized. 

In Web 2.0, powers are vested in technological organizations such as Facebook and Google, and users need authorization to post anything on the Internet even if the data belongs to them. However, with Web 3.0, users have the power to share information anywhere in the world via decentralized storage networks. Tim Berner Lee, a World Web inventor, briefly explained the Web 3.0 semantics as a Web that is open, intelligent, and autonomous. 

AI and Scripts

Web 3,0 integrates AI (Artificial intelligence) and ML, whereby information is processed in the form of the technological brain. Its systems will be inbuilt to be evaluative and integrative using the Internet of things. Data can be interpreted and ignite daily human activities. Web 2,0 search engines use JavaScript and CSS to make it more of a Wikipedia.

The algorithm and index of Web 3,0 are made for users to securely link in a decentralized manner. Transactions such as information and money are done in a peer-to-peer method. Mediators and Tech organizations are excluded as they are of no essence here as they are in Web 2.0.

Web 3.0 merges the Internet of things with devices and various applications. These devices will pick up data from the environment and interpret it to make man’s life easier. For instance, smart cities are being built using IoT(Internet of Things) to make intelligent roads, weather forecasting, and retain energy like street lights switching off during the day.

Advertisements and Laws

Web 3.0 will use behavioural advertising from the interactive advertising of Web 2.0. Behavioural advertising is the method used by ad organizations to display relevant information that suits the user. In 2,0 search engine, interactive ads meant you could get content you do not wish for.

Furthermore, Web 3.0 is more individual-based than Web 2.0 search engine, which is community-based. Web 2.0. It utilizes a community set of rules, and data doesn’t have copyrights. Users in Web 3.0 can claim their copyrights. For instance, NFTs are owned by the creator and have the right to sell anytime.

Conclusion

Elon Musk, Space X founder, and Jack Dorsey, Ceo of Twitter, have criticized Web 3.0 as a 3rd world technology. Elon Musk said that web 3.0 is prone to cyber-attacks and harms the human race.

While it’s evident that web 3.0 indexing could play a dominant role in how we find new content on the Internet, there are several drawbacks as well. One such major disadvantage is that web 3.0 indexing doesn’t provide an in-depth analysis of information and just gives the user an overview of what they want to get. Furthermore, this method is not easy to use for everybody because there are no intuitive navigation options available on its search pages like those offered by older search engines such as Google and Yahoo!.

But despite all these disadvantages, people still trust web 3.0 indexing due to its advanced features and results delivered by newer technologies like AI (Artificial Intelligence). Many business owners prefer this method over traditional website analytics tools to improve their operating metrics, thanks to better insights into their customers’ preferences.