Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
An architecture for a next-generation holistic e-recruiting system
Communications of the ACM - Creating a science of games
Matching resumes and jobs based on relevance models
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research
The Ontological Level: Revisiting 30 Years of Knowledge Representation
Conceptual Modeling: Foundations and Applications
Improving the accuracy of job search with semantic techniques
BIS'07 Proceedings of the 10th international conference on Business information systems
E-Gen: automatic job offer processing system for human resources
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
PROSPECT: a system for screening candidates for recruitment
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
AICCSA '10 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010
SMS-based Mobile Recommendation System for Campus Recruitment in China
ICMB '11 Proceedings of the 2011 10th International Conference on Mobile Business
An XML-Based Multiagent System for Supporting Online Recruitment Services
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
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Many e-recruitment tools for recruiting candidates for jobs have significantly spread in recent years. Companies often receive resumes from candidates using e-recruitment tools or via job portal for each job posting and manually short list qualified applicants. The existing e-recruitment tools have been mainly used for the storage of applicant contact data. In this paper, we present EXPERT, an intelligent tool for screening candidates for recruitment using ontology mapping. EXPERT has three phases in screening candidates for recruitment. In first phase, the system collects candidates' resumes and constructs ontology document for the features of the candidates. Job openings/job requirements are represented as ontology in the second phase and in third phase, EXPERT maps the job requirement ontology onto the candidate ontology document and retrieves the eligible candidates. Experiment results show that this model improves the accuracy of matching candidates with job requirement.