It is the era of new age browsing using new age Internet technology. In order that we understand Web 3.0 better, you need to understand the previous version first. Web 2.0 is associated with web applications that facilitate interactive information sharing, interoperability, user-centered design, and collaboration on the World Wide Web.
With this, almost any site, service, or technology can promote sharing and collaboration right down to the Net's grass-roots. This includes blogs, tags, RSS feeds, etc. This article gives you an insight about the Web 3.0 examples.
Web 3.0 is called "Semantic Web". It is a term coined by Tim Berners-Lee, the inventor of the World Wide Web. To simplify it further, the semantic web is a place where machines will be able to read web pages very much like humans.
It is a place where Internet search engines along with software agents will troll the Internet and find what the user is exactly looking for. In the words of Nova Spivack, "Web 3.0 is a set of standards that will turn the web into one big database". This technology facilitates intelligent search and behavioral advertising among other things. Hence, it can be defined as.
"Highly specialized information silos, moderated by a cult of personality, validated by the community and put into context with the inclusion of meta-data through widgets."
Some applications for the Semantic Web have already come on the Internet. One of the applications, which most of us have used is Bing's reference search. Google search engine is also not far behind and has come with Google Squared, where instead of getting lists, you will get columns of data. In this each cell will be filled up with relevant search results. These are just a couple of examples of such applications, but there certainly are many more out there.
When we want to search for a particular information, more often than not, we get the answers after multiple searches. However, with the 3.0 version, this task will be carried out in one search itself. Once you read some examples, this will become more clear to you.
Suppose you want to go out for a movie of a specific genre and also want to eat out after the movie. You would just need to type in a complex sentence and the search engine will fetch the answer for you. An example of search will be "I want to go for an action movie and then eat at a good Chinese restaurant. My options are?". You query string will be analyzed by the browser, looked up the Internet and all the possible alternatives would be fetched and the results would be organized for you.
Certain health data can also be looked up on the Internet. One of the best examples for health search can be an instance where a patient might want to ascertain what he is suffering from, based upon a set of symptoms. Like I have mentioned previously, after assessing the query, the browser will fetch the results. However, there is a loophole here. The data may not be accurate as there can be multiple diseases, which may have similar symptoms.
If you are searching for computer-related data, you need to type in a detailed query, and you will get your answer in the most effective and lucid way.
Suppose you are a finance whiz and are looking for details about the stock and share market, just type your question, and you will get a well arranged and well-organized list of information.
These are just some examples of Web 3.0. The user will have an intelligent browsing experience and may not have to narrow down his search. Also, multiple searches in a single search will reduce the browsing time, but it may also load additional pressure on the browser.