Semantic Web 10
Semantic detectives & Semantic identity
The young bloggers are now on the labour market. The companies do not ask any longer for the judicial file of a new
employee. To have information, the companies appeal in a systematic way to engines which are going to interrogate
all the sites which reference and index the accessible information on the Web. The differentiation between search
engines is going to concern the capacity to respond at requests where the sense is going to take more and more
importance (evolution of the requests with keywords towards the semantic requests). There will be three types of
person: the unknown, the "without splash" and the others. The others will have to erase in a systematic way the
information which could carry disadvantages and which will be more and more accessible. It will be the same
engines of semantic search which also charge this service.Profile Privacy/Consumer/Public
The Web's children became parents. They use tools which can limit the access and the spreading of the information
by their children. So, the parents can see at any time the web's logs of their children but they also have a net which is
going to filter their "private" identity before it is broadcasted on the network. For example, a third-part trust entity,
along with their mobile telephone provider, the post office and the bank, will possess the consumer’s identity so as to
mask the address of delivery and the payment of this consumer. A public identity also exists to spread a resume
(CV), a blog or an avatar for example but the data remain the property of the owner of the server who hosts this data.
So, the mobile telephone provider offers a personal server who will contain one public zone who will automatically
be copied on the network after every modification. If I want that my resume is not any longer on the network, I just
have to erase it of my public zone from my server. So, the mobile telephone provider creates a controllable silo of
information for every public profile.Personal agent
In a few years, the last generation of robot is now mobile and transcribes the human voice. However, it has to
transfer the semantic interpretation to more powerful computers. These servers can so interpret the sense of simple
sentences and interrogate other servers to calculate the answer to be given. Example: "Arthur returned at him. He
ordered a pizza by his personal digital agent. His agent is going to send the information to the home server which
will accept or not the purchase. It refuses because it received the order of the Arthur's parents to buy only a
well-balanced menu. So, the home server displays on the TV3D the authorized menus to allow Arthur to choose a
new meal."Research assistant
In 20??, the Semantic Web is now a reality. Marc is a researcher. He has a new idea. He is going to clarify it with his
digital assistant which is immediately going to show him the incoherence of his demonstration by using the
accessible knowledge in silos on the Web. Marc will be able to modify his reasoning or to find the proofs which
demonstrate that the existing knowledge is false and so to advance the scientific knowledge within the Semantic
Web.Challenges
Some of the challenges for the Semantic Web include vastness, vagueness, uncertainty, inconsistency, and deceit.
Automated reasoning systems will have to deal with all of these issues in order to deliver on the promise of the
Semantic Web.- Vastness: The World Wide Web contains many billions of pages [15]. The SNOMED CT medical terminology
ontology alone contains 370,000 class names, and existing technology has not yet been able to eliminate all
semantically duplicated terms. Any automated reasoning system will have to deal with truly huge inputs.