Skill ontology-based semantic model and its matching algorithm

Ontology application for employment or HR management is becoming an increasingly important task with the development of semantic web technologies. With the expanding scale of online-recruitment, such failures as low search efficiency, precision ratio, and recall ratio emerge and become worse. According to the actual state, we propose an intelligent recruitment platform with a skill ontology-based semantic model and its matching algorithm, by which recruitment websites can automatically find the most appropriate job-seekers for a certain job post and positions for a job-seeker. This framework of semantic matching can also be applied to some other fields such as computer aided industry design and manufacturing information engineering.