Decoding Human Resources: Representing and Rationalizing HR Knowledge - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2020

Decoding Human Resources: Representing and Rationalizing HR Knowledge

Résumé

The ongoing digitalization trend across industries, driven by advancements in Big Data and Machine Learning technologies, has led to profound changes in business models. In fact, the human resources sector has experienced significant impacts, particularly in aligning job openings with suitable candidates. Despite the prevailing emphasis on technology, the potential advantages of employing description logic methods have been largely overlooked. This study addresses this gap by providing a comprehensive overview of how the human resources industry utilizes knowledge bases in ontologies. The research sheds light on the benefits and complexities of integrating ontological frameworks into the sector, enhancing its operational efficiency and analytical capabilities.
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Dates et versions

hal-04179378 , version 1 (09-08-2023)

Identifiants

  • HAL Id : hal-04179378 , version 1

Citer

Jorge Martinez-Gil. Decoding Human Resources: Representing and Rationalizing HR Knowledge. 2020. ⟨hal-04179378⟩
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