Embedding semantics in human resources management automation via SQL

Among enterprise business processes, those related to HR management are characterized by conflicting issues: on one hand, the peculiarities of intellectual capital ask for rather expressive representation languages to convey as many facets as possible; on the other hand, such processes deal with huge amounts of resources to be managed. For handling HR management tasks, our approach combines the representation power of a logical language with the information processing efficiency of a DBMS. It has been implemented in a fully functioning platform, I.M.P.A.K.T., that we present here highlighting its peculiarities for three relevant business processes: skill matching, task/team composition and company core competence identification.