Based on the Information Economy MetaLanguage (IEML), semantic computing brings together several perspectives: an improvement of artificial intelligence, a solution to the problem of semantic interoperability, an algebraic model of semantic linguistics: all this at the service of human collective intelligence. Neuro-Symbolic Artificial Intelligence Every animal has a nervous system. Neuronal computing, which is statisticalLire la suite « Semantic Computing with IEML »
Collective Intelligence in 1994 When I published « Collective Intelligence » in 1994, the WWW did not exist (you won’t find the word « web » in the book) and less than one percent of the world’s population was connected to the Internet. A fortiori, social media, blogs, Google and Wikipedia were still well hidden in the realm ofLire la suite « Collective Intelligence Today »
The transition to a data-centric organization implies a change of culture and an evolution of management. All of a sudden, words and concepts become important, not only in communication and marketing, but also in production, which is no less digitized than the other functions of the company. In addition, the cultural change calls for more openness and communication between departments, branches, services and businesses. No good management without data management, and no data management without good metadata management. We thought that interest in semantics was reserved for cultural studis departments in American universities, but now it is a condition of business productivity!
Or how to move from a metadata language to a culture of collective intelligence… THE METADATA ISSUE Metadata are the data that organize the data. Data are like books in a library and metadata are like the library card index and catalog: their function is to identify the books in order to store and findLire la suite « Outline of a Business Model for a Change in Civilization »