Article: E-recruiting support system based on text mining methods Journal: International Journal of Knowledge and Learning (IJKL) 2011 Vol.7 No.3/4 pp.220 - 232 Abstract: Since web documents have different formats and contents; it is necessary for various documents to use standards to normalise their modelling in order to facilitate retrieval task. The model must take into consideration, both the syntactic structure, and the semantic content of the documents. Curriculum vitae (CV) is the document that summaries our education, skills, accomplishments, and experience. Job seekers submit their CV via the web. Therefore, in their recruitment process, companies are requiring systems for extraction and analysis of information from CVs: identifying specific patterns, which meet with certain profile. To extract the essential component of CVs and to relate them with user's requirements needs first, a study of their most significant elements and a better understanding of the CV feature. This work focuses on CVs' analysis. It introduces an approach for analysing and structuring CVs which are in French. To this end, we make an extension of General Architecture of Text Engineering (GATE). The extension affects essentially a formulation of logic rules for the generation of annotations used for CV handling. The goal is to normalise the CV content according to the structure adopted by Europass CV. This action is guided by the HR-XML standard. We experiment the proposed process and we showed that there is an improvement in the extraction phase. Inderscience Publishers - linking academia, business and industry through research

Title: E-recruiting support system based on text mining methods

Authors: Wahiba Karra Ben Abdessalem; Soumaya Amdouni

Addresses: High Institute of Management Tunisia, University of Tunis, 41, Rue de la Liberté, Cité Bouchoucha 2000 Le Bardo, Tunis, Tunisia. ' High Institute of Management Tunisia, University of Tunis, 41, Rue de la Liberté, Cité Bouchoucha 2000 Le Bardo, Tunis, Tunisia

Abstract: Since web documents have different formats and contents; it is necessary for various documents to use standards to normalise their modelling in order to facilitate retrieval task. The model must take into consideration, both the syntactic structure, and the semantic content of the documents. Curriculum vitae (CV) is the document that summaries our education, skills, accomplishments, and experience. Job seekers submit their CV via the web. Therefore, in their recruitment process, companies are requiring systems for extraction and analysis of information from CVs: identifying specific patterns, which meet with certain profile. To extract the essential component of CVs and to relate them with user's requirements needs first, a study of their most significant elements and a better understanding of the CV feature. This work focuses on CVs' analysis. It introduces an approach for analysing and structuring CVs which are in French. To this end, we make an extension of General Architecture of Text Engineering (GATE). The extension affects essentially a formulation of logic rules for the generation of annotations used for CV handling. The goal is to normalise the CV content according to the structure adopted by Europass CV. This action is guided by the HR-XML standard. We experiment the proposed process and we showed that there is an improvement in the extraction phase.

Keywords: e-recruitment; curriculum vitae; CVs; annotations; extraction; structuring; HR-XML; Europass CV; text mining; electronic recruitment; online recruitment; French.

DOI: 10.1504/IJKL.2011.044542

International Journal of Knowledge and Learning, 2011 Vol.7 No.3/4, pp.220 - 232

Received: 28 Jan 2011
Accepted: 09 Jun 2011
Published online: 31 Jan 2015 *

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Title: E-recruiting support system based on text mining methods

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