The content on existing websites can be understood by humans but not by computers, which leads to limited search results. Search engines, for example, cannot differentiate between people’s names and street names. RDF technology will allow computers to understand such differences. The technology works automatically and is invisible to the user.
“It is similar to the way we are used to web pages being linked to each other,” Herman says. “But instead of making people do the search and evaluate the information, the technology behind the semantic web can do much of the work, labeling, evaluating, comparing and integrating different kinds of information and presenting the result for the user.”
Herman cites a range of industries that can take advantage of the technology to improve their operations, such broadcasting, universities, the financial industry, e-government, healthcare, the IT industry and the telecoms sector. The W3C has published 37 case studies on its homepage describing how the semantic web can be integrated into different kinds of applications and activities.
“We try to cooperate with many different types of communities,” Herman says. “Take the health and pharmaceutical industries, as well as hospitals, which are creating a huge amount of data in different formats and in different databases. In many cases they need to use a combination of all these data and that is exactly what the semantic web can be used for.”
In Norway, national broadcaster NRK has used the semantic web to improve access to its enormous music library. Another interesting example is a mobile content-recommendation system created in South Korea, which includes the semantic web and the IP Multimedia Subsystem. The system gathers information on user behavior and habits, and uses that information to recommend new services and content for each individual user.