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Ontologies in Expertise Finding Systems: Modeling, Analysis, and Design

Ontologies in Expertise Finding Systems: Modeling, Analysis, and Design

Maryam Fazel-Zarandi, Mark S. Fox, Eric Yu
Copyright: © 2013 |Pages: 20
ISBN13: 9781466619937|ISBN10: 1466619937|EISBN13: 9781466619944
DOI: 10.4018/978-1-4666-1993-7.ch009
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MLA

Fazel-Zarandi, Maryam, et al. "Ontologies in Expertise Finding Systems: Modeling, Analysis, and Design." Ontology-Based Applications for Enterprise Systems and Knowledge Management, edited by Mohammad Nazir Ahmad, et al., IGI Global, 2013, pp. 158-177. https://doi.org/10.4018/978-1-4666-1993-7.ch009

APA

Fazel-Zarandi, M., Fox, M. S., & Yu, E. (2013). Ontologies in Expertise Finding Systems: Modeling, Analysis, and Design. In M. Nazir Ahmad, R. Colomb, & M. Abdullah (Eds.), Ontology-Based Applications for Enterprise Systems and Knowledge Management (pp. 158-177). IGI Global. https://doi.org/10.4018/978-1-4666-1993-7.ch009

Chicago

Fazel-Zarandi, Maryam, Mark S. Fox, and Eric Yu. "Ontologies in Expertise Finding Systems: Modeling, Analysis, and Design." In Ontology-Based Applications for Enterprise Systems and Knowledge Management, edited by Mohammad Nazir Ahmad, Robert M. Colomb, and Mohd Syazwan Abdullah, 158-177. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1993-7.ch009

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Abstract

Knowledge Management Systems that enhance and facilitate the process of finding the right expert in an organization have gained much attention in recent years. This chapter explores the potential benefits and challenges of using ontologies for improving existing systems. A modeling technique from requirements engineering is used to evaluate the proposed system and analyze the impact it would have on the goals of the stakeholders. Based on the analysis, an ontology-based expertise finding system is proposed. This chapter also discusses the organizational settings required for the successful deployment of the system in practice.

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