Abstract
In this paper we introduce a prototype job portal which uses semantically annotated job offers and applicants. In our opinion, using Semantic Web technologies substantially increase market transparency, lower transaction costs and speed up the procurement process. However adding semantics is not a panacea for everything. We identify some outstanding problems in job search using the system and outline how the technique of query approximation can be the basis for a solution. Through an Industry-Research co-operation we are extending the prototype with these semantic techniques to demonstrate a more accurate job search.
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Nixon, L., et al.: Towards a successful transfer of knowledge-based technology to European Industry. In: Proc. of the 1st Workshop on Formal Ontologies Meet Industry (FOMI 2005) (2005)
Bizer, C., et al.: The Impact of Semantic Web Technologies on Job Recruitment Processes. In: International Conference Wirtschaftsinformatik (WI’05) (2005)
Bizer, C., Mochol, M., Westphal, D.: Recruitment, report (April 2004)
Bizer, C., Seaborne, A.: D2RQ - Treating Non-RDF Databases as Virtual RDF Graphs. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, Springer, Heidelberg (2004)
Bourse, M., et al.: Human Resource Management and Semantic Web Technologies. In: Proc. of the 1st International Conference on Information Communication Technologies: from Theory to Applications (2004)
Dolog, P., Stuckenschmidt, H., Wache, H.: Robust query processing for personalized information access on the semantic web. In: Larsen, H.L., et al. (eds.) FQAS 2006. LNCS (LNAI), vol. 4027, Springer, Heidelberg (2006)
Keim, T., et al.: Recruiting Trends 2005. Working Paper No. 2005-22. efinance Institut. Johann-Wolfgang-Goethe-Universität Frankfurt am Main (2005)
Kießling, W., Köstler, G.: Preference sql - design, implementation, experiences. In: Proc. of 28th International Conference on Very Large Data Bases, pp. 990–1001. Morgan Kaufmann, San Francisco (2002)
Lacroix, M., Lavency, P.: Preferences; putting more knowledge into queries. In: Stocker, P.M., Kent, W., Hammersley, P. (eds.) VLDB’87, Proceedings of 13th International Conference on Very Large Data Bases, Brighton, England, September 1-4, 1987, pp. 217–225. Morgan Kaufmann, San Francisco (1987)
Lau, T., Sure, Y.: Introducing ontology-based skills management at a large insurance company. In: Proc. of the of the Modellierung 2002, pp. 123–134 (2002)
Mülder, W.: Personalinformationssysteme - Entwicklungsstand, Funktionalität und Trends. Wirtschaftsinformatik (Special Issue IT Personal) 42, 98–106 (2000)
Mochol, M., Paslaru Bontas, E.: Practical Guidelines for Building Semantic eRecruitment Applications. In: International Conference on Knowledge Management, Special Track: Advanced Semantic Technologies (AST’ 06) (2006)
Monster. Monster Deutschland and TMP Worldwide: Recruiting Trends 2004. In: 2. Fachsymposium für Personalverantwortliche. Institut für Wirtschaftsinformatik der Johann Wolfgang Goethe-Universität Frankfurt am Main (2003)
Oldakowski, R., Bizer, C.: SemMF: A Framework for Calculating Semantic Similarity of Objects Represented as RDF Graphs. In: Gil, Y., et al. (eds.) ISWC 2005. LNCS, vol. 3729, Springer, Heidelberg (2005)
Paslaru Bontas, E., Mochol, M.: Towards a reuse-oriented methodology for ontology engineering. In: Proc. of 7th International Conference on Terminology and Knowledge Engineering (TKE 2005) (2005)
Paslaru Bontas, E., Mochol, M., Tolksdorf, R.: Case Studies on Ontology Reuse. In: Proc. of the 5th International Conference on Knowledge Management (iKnow05) (2005)
Poole, J., Campbell, J.A.: A Novel Algorithm for Matching Conceptual and Related Graphs. In: Ellis, G., et al. (eds.) ICCS 1995. LNCS, vol. 954, pp. 293–307. Springer, Heidelberg (1995)
Sowa, F., Bremen, A., Apke, S.: Entwicklung der Kompetenz-Ontologie für die Deutsche Montan Technologie GmbH (2003)
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Mochol, M., Wache, H., Nixon, L. (2007). Improving the Accuracy of Job Search with Semantic Techniques. In: Abramowicz, W. (eds) Business Information Systems. BIS 2007. Lecture Notes in Computer Science, vol 4439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72035-5_23
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DOI: https://doi.org/10.1007/978-3-540-72035-5_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72034-8
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