Semantic and Artificial Intelligence Gaps in the Job and Educational Markets: a Solution for the Less PrivilegedKalliopi Kravari, Periklis Chatzimisios, Michail Chalaris
- Electrical and Electronic Engineering
- Building and Construction
This article discusses findings on the problem area of a social crisis for less privileged individuals and identifies the semantic and artificial intelligence gaps in the job and educational markets while providing a solution area for the resolution to the problem identified. The current article analyses the problem area of bridging the job and educational markets, especially in relevance to the issues that face underprivileged young people. It identifies a solution area including use cases, technologies to be utilized and standards to be exploited and even enhanced. Available and relevant to semantic web technologies open source tools were also investigated.