Ontology-based retrieval of experts - The issue of efficiency and scalability within the extraspec system

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In the knowledge-based economy, organizations often use expert finding systems to identify new candidates or manage information about the current employees. In order to ensure the required level of precision of returned results, the expert finding systems often benefit from semantic technologies and use ontologies in order to represent gathered data. Usage of ontologies however, causes additional challenges connected with the efficiency, scalability as well as the ease of use of a semantic-based solution. Within this paper we present a reasoning scenario applied within the eXtraSpec project and discuss the underlying experiments that were conducted in order to identify the best approach to follow, given the required level of expressiveness of the knowledge representation technique, and other requirements towards the system. © 2012 IFIP International Federation for Information Processing.

Cite

CITATION STYLE

APA

Bukowska, E., Kaczmarek, M., Stolarski, P., & Abramowicz, W. (2012). Ontology-based retrieval of experts - The issue of efficiency and scalability within the extraspec system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7465 LNCS, pp. 272–286). https://doi.org/10.1007/978-3-642-32498-7_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free