Abstract
A Curriculum Vitae (CV) or a résumé, in general, consists of personal information, education information, work experience, qualifications and preferences parts. Scanning or making structural transformation of the millions of free-formatted résumés from the databases of companies / institutions with human factor will result in the loss of too much time and human effort. In the literature, a limited number of studies have been done to change the résumés of the free-format to a structural format. The overall objective of the study is to infer required information such as user’s experience, features, business and education from résumés of the potential user of a human resources system. In this article, we proposed an ontology driven information parsing system that is planned to operate on few millions of résumés to convert them structured format for the purpose of expert finding through the Semantic Web approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hu, B., Kalfoglou, Y., Alani, H., Dupplaw, D., Lewis, P., Shadbolt, N.: Semantic metrics. In: Proceedings of the 15th International Conference on Knowledge Engineering and Knowledge Management, pp. 166–181 (2006)
Bojars, U., Breslin, J.G.: RésuméRDF: Expressing Skill Information on the Semantic Web. In: The 1st International Workshop on ExpertFinder, Berlin, Germany (January 2007)
Parada, R.A.: DOAC Vocabulary Specification (July 08, 2006), http://ramonantonio.net/doac/0.1/
Karamatlı, E., Akyokuş, S.: Résumé Information Extraction with Named Entity Clustering based on Relationships. In: INISTA 2010, Kayseri (2010) (last visited: April 12, 2010)
Paolucci, M., Kawamura, T., Payne, T.R., Sycara, K.: Semantic Matching of Web Services Capabilities. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 333–347. Springer, Heidelberg (2002)
Çelik, D., Elci, A.: Towards a semantic-based workflow model to the composition of OWL-S Atomic Processes-through process based similarity matching and inferencing Techniques. J. of Internet Technology, Taiwan Academic Network Executive Committee (2010) ISSN: 1607-9264, Published by: Taiwan Academic Network Executive Committee (Accepted, SCI-E)
Çelik, D., Elçi, A.: Ontology-Based Matchmaking and Composition of Business Processes. In: Elçi, A., Koné, M.T., Orgun, M.A. (eds.) Semantic Agent Systems. SCI, vol. 344, pp. 133–157. Springer, Heidelberg (2011)
Çelik, D., Elci, A.: OWL-S Semantic-Based Workflow Model Based on Atomic Processes Unification. Journal of the Science and Engineering University of Cankaya, Ankara, Turkey (submitted, June 2010)
Sovren Résumé / CV Parser, http://www.sovren.com/ (last visited: April 12, 2010)
ALEX Résumé Parsing, http://www.hireability.com/ALEX/ (last visited: April 12, 2010)
Résumé Grabber Suite, http://www.egrabber.com/résumégrabbersuite/ (last visited: April 12, 2010)
Daxtra CVX, http://www.daxtra.com/ (last visited: April 12, 2010)
Yu, K., Guan, G., Zhou, M.: Résumé information extraction with cascaded hybrid model. In: ACL 2005: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, Morristown, NJ, USA, pp. 499–506 (2005)
Piskorski, J., Kowalkiewicz, M., Kaczmarek, T.: Information Extraction from CV. Information Retrieval and Filtering, 185–192 (2005)
Chieu, H.L., Ng, H.T., Lee, Y.K.: Closing the Gap: Learning-Based Information Extraction Rivaling. In: Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, Sapporo, Japan (2003)
Protégé, OWL-S Ontology Editor CS / AI Department, University of Malta (2004), http://owlseditor.semwebcentral.org/ (last visited: April 2009)
Gruber, T. (N.d.): What is Ontology? http://wwwksl.stanford.edu/kst/what-is-an-ontology.html (last visited: April 15, 2007)
Onder, P., Ozen, N., Unlu, S., Orhan, Z.: A Framework for Building a Turkish Lexicon and Knowledge Base. In: Proceedings of IKE 2008, The 2008 International Conference on Information and Knowledge Engineering, Monte Carlo Resort, Las Vegas, Nevada, USA (July 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Çelik, D., Elçi, A. (2013). An Ontology-Based Information Extraction Approach for Résumés. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-37015-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37014-4
Online ISBN: 978-3-642-37015-1
eBook Packages: Computer ScienceComputer Science (R0)