The main criticism leveled at the current web is that it is too syntactic. Search engines, for example, only work on the basis of keywords and only return links to sites as results. The content of these links must then be analyzed by humans to select the expected result (s).
Web 3.0, announced as the next evolution, relative to qualify the semantic web or web of data, could allow machines to interpret the information at their disposal. Tim Berners-Lee, inventor of the web and director of the W3C already defined in the 80s the semantic web as an extension of the web, oriented MtoM (machine to machine) which would transform it into a space for exchanging documents allowing access to their contents and to carry out reasoning.
This ability is possible thanks to ontologies: a representative model of a set of concepts in a domain, as well as the relationships between these concepts. The idea is for the machine to be able to identify and classify all the information in a domain. Thus, thanks to the web of data, information is linked together and its content can be interpreted by machines directly. These are then able to clearly identify the information to be represented for the user.
The jobSkills.center group uses these concepts to describe the world of recruitment within its ATS. Indeed, thanks to modeling in the form of a data graph, we are developing business skills repositories, specific to each sector of activity. This allows a simple formalization of data for the actors of the circles concerned, recruiters as candidates.
We are therefore considering data in the semantic web by 2022. This project will bring a collaborative and open-data logic to the project and will contribute to enriching the professional repositories of the recruitment application.