The application of ICT – Information and Communication Technologies – is generating a dangerous information overload.
We must read much more than in past to gain a small piece of new knowledge. The ICT Systems overwhelm us by a large quantity of useless information. We are now spending an important part of our time to go through a lot of texts and too many data just for discerning what information is useful or not, true or not, etc …
The Information Technologies do not help us.
When we use Information Systems it is necessary to have recourse to our knowledge for retrieving useful data or information. We are still within The Paradox of J.W. Goethe: “Was man weiss, sieht man erst!” (Man looks at only what he knows and understands!)
In the mid-1990’s, Tim Berners-Lee theorized the Semantic Web – the Web of Data – to address the problem of information overload by using semantic technologies.
Thanks to the Semantic Web standards, it is now possible to formalize the knowledge about data – properties and relations – in order to perform inferential processes. Computers can manage the analysts’ and domain experts’ knowledge about data to help users retrieve only useful information.
We believe that the spread of the applications based on the Semantic Web standards will lead to the rise of a new knowledge-sharing paradigm replacing the one in use since 1450 when Gutenberg invented the movable type printing press.
The new class of computing systems based on Semantic Web standards are systems able to manage Knowledge instead of Data, using Knowledgbase instead of Database.
People store a lot of data in computers, but Semantics – the Knowledge about data – remains in the mind of analysts and domain experts. How to provide computers with that knowledge?
It is necessary someone able to describe the data properties and the relations using Logics and semantic technologies in order to let computers manage them.
Young students in Philosophy, born in the digital era, are the best to carry out this task. They are excellent Data & Knowledge Modellers.
Epistematica’s mission is to boost the employment of young philosophers because they can really help any organization to transform their know-how in computable form, storaged into computers and manageable by automated reasoning.
Epistematica’s dream is a philosopher in every organization to preserve the Knowledge to the future.
We believe that this is not only an economical need, but also a duty to future generations.
Epistematica was founded in 2005 with the aim of developing Knowledge-driven Systems applying the W3C Standards for Semantic Web.
Thanks to its excellent expertise in Knowledge representation by Description logics, Epistematica can turn data into truly computable knowledge transforming a Database into a Knowledgebase.
The outcome is that the organizations can preserve their Knowledge.
Using inferential technologies such as Reasoners, Epistematica can build very innovative systems that outstrip the Information Systems based on RDBMS.
Using traditional IT Systems, users have to manage data to retrieve information. Using a Knowledge-driven System, it is the computer that manages knowledge about data – properties and relations – to help users to retrieve the information they do not have yet.
The outcome is that users can acquire Wisdom easily.
Epistematica’s goal is to build Knowledge-driven Systems for preserving the organizations’ Knowledge and making easy the acquisition of Wisdom!