A Prototype for an e-Recruitment Platform using Semantic Web Technologies

Abstract

Nowadays, the continuous demand for qualified candidates in the IT domain has empowered the use of e-Recruitment tools, which are becoming more and more exploited at the expense of the traditional methods. This study focuses on the use of ontologies in developing a job recommender system, which helps to automatically match job offers with the candidates' profiles and in reverse. In order to design the IT e-Recruitment ontology we have gathered a list with all the features a platform of this kind should provide, for both the job seeker and the recruiter. Based on the selected requirements, we developed the ontology that offers all the necessary means to implement such a job recommender system, designed to connect people with job opportunities and backwards. The second part of the paper proposes a Java based architecture to implement the e-Recruitment platform. To convert the users' input into RDF description, RDF2Go and RDFBeans APIs are employed. Storing and retrieving the data make use of the Jena Framework, which provides dedicated interfaces for accessing the Fuseki2 Server over HTTP. Finally, the prototype of the e-Recruitment platform is presented, together with its core functionalities.

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