An Overview of Knowledge Management Techniques for e-Recruitment

Jorge Martinez-Gil

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Abstract: The number of potential job candidates and therefore, costs associated with their hiring, has grown significantly in the recent years. This is mainly due to both the complicated situation of the labour market and the increased geographical flexibility of employees. Some initiatives for making the e-Recruitment processes more efficient have notably improved the situation by developing automatic solutions. But there are still some challenges that remain open since traditional solutions do not consider semantic relations properly. This problem can be appropriately addressed by means of a sub discipline of knowledge management called semantic processing. Therefore, we overview the major techniques from this field that can play a key role in the design of a novel business model that is more attractive for job applicants and job providers.

Keywords: E-recruitment; Semantic Computing; Knowledge Management; Semantic Matching (search for similar items in EconPapers)
Date: 2014-06-01
Note: View the original document on HAL open archive server: https://hal.science/hal-01692069
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Citations: View citations in EconPapers (2)

Published in Journal of Information & Knowledge Management, 2014, 13 (02), pp.1450014. ⟨10.1142/s0219649214500142⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01692069

DOI: 10.1142/s0219649214500142

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