Applicability Assessment of Semantic Web Technologies in Human Resources Domain

Applicability Assessment of Semantic Web Technologies in Human Resources Domain

Valentina Janev, Sanja Vraneš
Copyright: © 2010 |Pages: 16
DOI: 10.4018/irmj.2010070103
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Abstract

To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrative case study of deployment of Semantic Web technologies in Human Resources sector at the Mihajlo Pupin Institute, this paper shows how the latest semantic technologies could be used with existing Enterprise Information Systems and Enterprise Content Management systems to ensure meaningful search and retrieval of expertise for in-house users as well as for integration in the European research space and beyond.
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Research Framework

Semantic Web is one of the fastest developing fields within the ICT sector and, as such, under constant examination by scientists and IT professionals. Most of the academic work, up to now, has focused on the global public gains of adopting SW technologies (Alani et al., 2008), and to a significant degree has neglected the industry development and migration needs to meet the SW challenges.

Having in mind this situation, the present work will focus on:

  • •

    Presenting a brief account of the key application areas of Semantic Web technologies and a summary of the achieved benefits from them (based on the analysis of the W3C collection of Case Studies and Use Cases), that will give a picture of the present status of the SW technology implementation and needs thereof in industry development sector, and

  • •

    Presenting the results of a case study of the use of semantic technologies for integration and meaningful search and retrieval of expertise data, as an example of the new approaches to data integration and information management.

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