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Semantic Web Technologies in the Recruitmant Domain
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Author(s): Ralf Heese (Humboldt- Universitat zu Berlin, Germany), Malgorzata Mochol (Freie Universitat Berlin, Germany)and Radoslaw Oldakowski (Freie Universitat Berlin, Germany)
Copyright: 2007
Pages: 20
Source title:
Competencies in Organizational E-Learning: Concepts and Tools
Source Author(s)/Editor(s): Miguel-Angel Sicilia (University of Alcalá, Spain)
DOI: 10.4018/978-1-59904-343-2.ch014
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Abstract
Due to the large number of job offers published online it is almost impossible for job seekers and job portals to gain an overview of the entire employment market. Since job offers lack semantically meaningful annotations, their location and integration into databases is extremely difficult. In this paper, we demonstrate how the application of Semantic Web technologies, can enable unambiguous identification of concepts and relationships between concepts, to the e-recruitment process provides advantages for all participants in the market. When comparing job and applicant profiles, this abovementioned identification through the use of a dedicated matching function is a key element for increasing the precision of search results provided by search engines. Furthermore, it allows for automating and supporting recruitment processes. In this chapter, we present an application scenario and our prototypical implementation discussing the construction of a human resource ontology for annotating job offers and job applications and our matching function.
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