Semantic Web Real World Examples:


Example 1:
Try googling for all cars advertised on the web with engines smaller than 2.0 litres that run unleaded, and have an mp3 connection and can been seen in a showroom conveniently accessible by public transport from your house. Google is unable to help you. You have to make several searches and correlate the results yourself. On the Semantic web, you can express an interest in products for sale that are cars, and add the constraints. Every result would be useful.

Example 2:

You want to correlate data that is not clearly related. Like for example, country walks in a population versus the levels of clinical obesity in the same population. This kind of information can be watched in Gapminder.

Example 3:

An example is a site that gives the weather for any city in the world, in HTML form. Even though the site offers dynamic, database-driven information, it is presented in a purely syntactic way. One could imagine a computer program that tried to retrieve this weather information through text parsing or "web scraping". Though it would be possible to do, if the creators of the site ever decide to change around the layout or HTML of the site, the computer program would most likely need to be rewritten in some way. In contrast, if the weather site published its data semantically, the program could retrieve that semantic data, and the site's creators could change the look and feel of the site without affecting that retrieval ability.

Technologies for the Semantic Web:

SPARQL Query Language

RDF Language to organize information and represent resources