Semantic Web Tech Explained! The Purpose, Application and Benefits

Basically, when a collection of data is made more intelligent to predict the user needs, it is an example of the semantic web application and service.

In this technology, there are huge sets of data which are prepped to operate on its own without the need for any human assistance.

The main feature of the semantic web tech is the capacity to interpret data without interference.

In fact, these sets of data will be able to guess or predict what the user wants and provide the information accordingly. This is how semantic web works.

One such example is the World Wide Web. While the World Wide Web is the huge picture under which semantic web technology exists, they work similarly by handling data that is present all over the world.

There are also various semantic web real time application similar to the world wide web consortium semantic web.

 

Where did the Semantic Web starts?

The semantic web technology got its name from Mr. Tim Berners-Lee, who happens to be the creator of the World Wide Web.

The present search engine algorithms follow a bit of this technology where the search results are displayed according to what the user types in.

This will further extend to the search results and the pages displayed in the results which will be arranged according to the user likes and dislikes.

This has been improved further with Artificial intelligence.

For example,  as you type, the search engine is able to suggest likely keyword phrases that completes what you have in your mind to inquire about.

This is only one method which is observed. There are other plenty of ways in which this technology will alter the way the search results are obtained and displayed.

By applying this semantic web technology, all the data present globally, which is unstructured will be first searched and analyzed.

Then this data will be organized and displayed in a format which will match with the user’s search results as well as the user’s preference.

This technology can be combined with others to stimulate programs which will be able to find just what the user wants.

 

What are the Techniques behind Semantic Web Applications

The Semantic Web technology has its specifications derived from the Semantic Annotations for Web Services Description Language.

This is commonly known as the W3C standing for World Wide Web Consortium, which is supposed to be the driving force for semantic web technology.

In order to represent the data here, there are the syntaxes used which come with Uniform Resource Identifiers.

The syntaxes which have the URI in it is termed as RDF.

The power of searching, analyzing and organizing the unstructured data according to the user’s needs comes from this inclusion of RDF files.

 

What is the Purpose of Semantic Web Technology?

As of now, the World Wide Web allows search engines and other websites to display information according to human needs.

While this is possible, all the information present on the websites is human-friendly and can be read as well as understood by humans.

Machines are not very well capable of reading and analyzing all this information.

This can be seen as a hindrance in achieving the customized search results given to each user.

While the growth can be witnessed in trying to give more user related search results, it still stands still at a point where human intervention is needed.

Semantic Web Technology will hopefully solve this issue in the future.

With this technology, the data present globally can be analyzed and segregated without the need for human intervention.

The data present can be converted in such a way where it is not only human-friendly but also machine friendly.

This way the machines can interpret the data and perform all kinds of tasks with the information available online.

 

The use of the Semantic web Tech

Since there are huge chunks of data present all over the world, there is a high amount of unstructured data which will have to be organized to get the required information.

Semantic Web will be useful in areas where such a large amount of data will have to be organized and analyzed. It also ensure the data is readable by machine.

Semantic web is currently used in the oil and gas industry, finance, tax and other sectors where huge no of data are processed from time to time.

If this semantic web topic is still complex to you, you can read the semantic web service technologies and application e-book by Rudi Studer and Stephen Grimm.