Improving the Recruitment Process through Ontology-based Querying.
Malgorzata Mochól, Lyndon J. B. Nixon, Holger Wache · 2006
While using semantic data can enable improved retrieval of suitable jobs or applicants in a recruitment process, cases of inconsistent or overly specific queries which would return no results still have to be dealt with. In this paper the extension of a semantic job portal with a novel query relaxation technique is presented which is able to return results even in such cases. Subsymbolic methods estimate the (quantitative) similarity between job or applicant descriptions. Symbolic approaches allow a more intuitive way to formulate and handle preferences and domain knowledge. But due to their partial preference order they can not rank all results in practice like subsymbolic approaches. In this paper we propose a query relaxation method which combines both methods. This method demonstrates that by having data based on formal ontologies, one can improve the retrieval also in a user-friendly way.