Ontology Development for Human Resource Management

Dorn, Jürgen; Naz, Tabbasum; Pichlmair, M.

doi:10.1142/9789812770592_0010

Cited by 26 publications

(17 citation statements)

References 4 publications

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“…Ontology can provide formal and sharable representation of knowledge. Ontologies-based experts finding method is also proposed to improve the search results [17,18,19]. At the same time, several hybrid methods have been proposed to find experts using language model, topic model, and social network linked analysis [20,21,22].…”

Section: Experts Findingmentioning

confidence: 99%

Design of a Novel Intelligent Framework for Finding Experts and Learning Peers in Open Knowledge Communities

Wu¹,

Yu²

2015

EAI Endorsed Transactions on Future Intelligent Educational Env

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Open knowledge communities (OKCs) are computer supported collaborative learning environments that provide opportunities for social knowledge construction, collaboration, participation and communication for ubiquitous learning and informal learning. However, with the rapid expanding of learning content resources and users, it is difficult for learners to find the right persons they need as knowledge experts and learning peers in OKCs using traditional search engines. To solve this problem, the paper presents a novel intelligent framework for finding the right experts and learning peers based on social knowledge network. After describing the architectural details of the framework, the authors elaborate on the intelligent framework design, the work principle, and mechanism of each module. Finally，the authors conclude by showing the learning application scenarios of this intelligent framework.

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Section: Experts Findingmentioning

confidence: 99%

Design of a Novel Intelligent Framework for Finding Experts and Learning Peers in Open Knowledge Communities

Wu¹,

Yu²

2015

EAI Endorsed Transactions on Future Intelligent Educational Env

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“…Our application allows managers to query the necessary information provided by HR assistants, anytime, anywhere. To help this task, various ontologies have been developed for semantic storage of the data of the employees, trainees, candidates or projects [6] [15].…”

Section: Hrmentioning

confidence: 99%

A Mobile Browser Prototype for Semantic Information Systems

Gombos¹,

Matuszka²,

Pincze³

et al. 2013

AEI

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Nowadays, companies have to handle large amounts of data every day (e.g. employee data, reports, statements). These data are usually unstructured or semi-structured; they do not have a consistent format, since they come from various sources. As a solution, the Semantic Web provides a common data format, which helps integrate the heterogeneous data. In the industry, in order to be efficient and to remain competitive, it is crucial to have quick, easy, and reliable access to your data from anywhere. In this paper, we introduce a client-server system, which enables browsing of semantic data with smartphones and tablets running Android operating system. The users can access their data using predefined views. These views determine which parts of the data a user can see, and how to present them in the client application. Each user can have different access privileges to different views, so each employee can have a level of access suitable to his status.

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“…Semantics in the search systems may be used for analysing indexed documents or queries (query expansion [Navigli and Velardi, 2003]) or operating on semantically described resources with the use of reasoners (e.g., operating on contents of RDF (Resource Description Framework [W3C, 2012]) files and ontologies represented in e.g., OWL (Web Ontology language [OWL, 2012])). Within the expert finding systems, both approaches have been applied as well as a number of various ontologies used to represent competencies and skills were developed, e.g., [Gmez-Prez et al, 2007] [Dorn et al, 2007] [Aleman-Meza et al, 2007.…”

Section: Related Workmentioning

confidence: 99%