Improving the accuracy of job search with semantic techniques

Authors:
Malgorzata Mochol;Holger Wache;Lyndon Nixon
Affiliations:
Freie Universität Berlin, Institut für Informatik, Berlin, Germany;Vrije Universiteit Amsterdam, Artificial Intelligence Department de Boelelaan, Amsterdam, The Netherlands;Freie Universität Berlin, Institut für Informatik, Berlin, Germany
Venue:
BIS'07 Proceedings of the 10th international conference on Business information systems
Year:
2007

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Abstract

In this paper we introduce a prototype job portal which uses semantically annotated job offers and applicants. In our opinion, using Semantic Web technologies substantially increase market transparency, lower transaction costs and speed up the procurement process. However adding semantics is not a panacea for everything. We identify some outstanding problems in job search using the system and outline how the technique of query approximation can be the basis for a solution. Through an Industry-Research co-operation we are extending the prototype with these semantic techniques to demonstrate a more accurate job search.