Implementation of Semantic Web in the Companies: Human Resources Ontology

Abstract

Today, data which is growing exponentially; has become very important in the both backup and analysis phase. For this reason, it is necessary to store, transfer and examine the data in a correct structure according to the semantic web principles. In addition, the aim of the computers to automatically infer some operations without the need for human intervention and to be more beneficial to people in this state is being worked on. An example of the human resources ontology developed with the Protégé tool is described in order to accelerate and correct the semantic network processes with the ontologies created for this purpose. In addition, the developed ontology was queried using SPARQL language. In this study, it is aimed to query different types of heterogeneous data together with RDF queries. Thus, in addition to relational databases, which are still indispensable today, many heterogeneous data will be queried and inferences can be made by computers.