Semantic-based Job Recommendation Framework Using OWL Ontology

Abstract

This paper proposes a new semantic framework for a job recommendation based on OWL ontology. The proposed framework will aid in the job search and recruitment process. The framework consists of a number of techniques: A web crawler is used to collect information from various web sites, the OWL job recommendation ontology provides a well-defined semantic model related to the job domain, SP ARQL constructs queries on OWL ontologies, EasyRDF allows sending SP ARQL queries to a third party server Virtuoso which will handle it and retrieve the results. The proposed framework recommends a suitable career opportunity for people based on their qualifications, skills, technological background, and so on. The OWL job recommendation ontology has been developed using Protégé 5.5.0 and the main components of the concepts and relations are discussed. The OWL ontology gives semantics to job information gathered from the web and enables more effective management, sharing, and recommendation of job information.