I.M.P.A.K.T.: An Innovative Semantic-based Skill Management System Exploiting Standard SQL

The paper presents I.M.P.A.K.T. (Information Management and Processing with the Aid of Knowledge-based Technologies), a semantic-enabled platform for skills and talent management. In spite of the full exploitation of recent advances in semantic technologies, the proposed system only relies on standard SQL queries. Distinguishing features include: the possibility to express both strict requirements and preferences in the requested profile, a logic-based ranking of retrieved candidates and the explanation of rank results. System features are discussed in comparison with similar approaches, e.g., SQLf, and both quantitative and qualitative experimental results are proposed.