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Published in:
2009 | OriginalPaper | Chapter
Semantic-Based Top-k Retrieval for Competence Management
Authors : Umberto Straccia, Eufemia Tinelli, Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio
Published in: Foundations of Intelligent Systems
Publisher: Springer Berlin Heidelberg
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We present a knowledge-based system, for skills and talent management, exploiting semantic technologies combined with top-k retrieval techniques. The system provides advanced distinguishing features, including the possibility to formulate queries by expressing both strict requirements and preferences in the requested profile and a semantic-based ranking of retrieved candidates. Based on the knowledge formalized within a domain ontology, the system implements an approach exploiting top-k based reasoning services to evaluate semantic similarity between the requested profile and retrieved ones. System performance is discussed through the presentation of experimental results.