**1. Introduction**

208 Security Enhanced Applications for Information Systems

Tassabehji, R and Elliman, T 2006, Generating Citizen Trust in E-Government Using a Trust

Teo, T and Pok, S 2003, Adoption of WAP-enabled mobile phones among Internet users. Omega: *The International Journal of Management Sciences*, vol. 31, no. 6, p. 483-498. Urquhart, C and Fernandez, W 2006, Grounded Theory Method: The Researcher as Blank

Urquhart, C Lehmann, H and Myers, M 2009, Putting the theory back into Grounded

Uzoka, F.M. and Ndzinge, T 2009, An Investigation of Factors Affecting Biometric

Venkatesh, V, Morris, M, David, G and Davis, F 2003, 'User acceptance of information technology: toward a unified view', *MIS Quarterly*, vol. 27, no. 3, pp. 425-78. Vielhauer, C 2006, *Biometric User Authentication for IT Security: From Fundamentals to* 

Wayman, J, Jain, D, Maltoni, H and Maio, D 2005, *Biometric Systems: Technology, Design and* 

*Information Systems (EMCIS)*, Costa Blanca, Alicante, Spain

*Information systems journal*, Blackwell Publishing Ltd.

*Systems*, pp 457-464, Milwaukee.

*Biometrics*, vol. 1, no. 3, pp. 307-328.

*Handwriting*, Springer, New York.

https://www.cia.gov/index.html

*Performance Evaluation*, Springer, New York. World Fact Book 2011, Central Intelligence Agency, available at

Verification Agent: A Research Note, *European and Mediterranean Conference on* 

Slate and Other Myths, *In Twenty-Seventh International Conference on Information* 

Theory: guidelines for Grounded Theory studies in information systems,

Technology Adoption in a Developing Country Context, *International Journal of* 

Semantic Web (SW) is an emerging research field that has application in different domains such as e-government services, richly interlinked library systems, Web search engines, enterprise knowledge stores, and other. The term "Semantic Web" refers to the World Wide Web Consortium's (W3C) vision of the Web of linked data (called also the Web of Data) as "…an extension of the current Web in which information is given a well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee, Hendler, & Lassila, 2001). Since then, many specifications, guidelines, languages, and tools have been developed that facilitate software development, improve performance and create new business opportunities.

This Chapter investigates the existing standard models for representing Human Resource (HR) data and especially in the context of competence management and discusses the process of building and publishing ontology-based expert profiles models. The expert profiles can be used for deploying advanced HR management services for in-house purposes, as well as integration and search of experts in the Linked Open Data (LOD) cloud. During the past 3 years, the Linked Data paradigm, promoted by Tim Berners-Lee (2006) as a part of the Semantic Web roadmap, evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration in addition to document search (Auer & Lehmann, 2010; Janev & Vraneš, 2011b). According to the statistics from March 2012 (see http://stats.lod2.eu/), the LOD cloud contains over 1,7 billion triples, integrates over 400000 namespaces and registers over 1,7 million instances of type "person".

The Chapter is organized as follows. After introducing the main requirements for managing competence data in enterprises in Section 2, we point to existing and emerging HR approaches and data representation standards (Section 3). Then, follows an example process for building an ontology-based enterprise knowledge stores (Section 4) and two examples for searching enterprise knowledge stores with Semantic Web tools (Section 5).
