Semantic-Based Top-k Retrieval for Competence Management

Abstract. 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.

• Type: Conference
• Year: 2009
• Where: ISMIS
• Authors: Umberto Straccia, Eufemia Tinelli, Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio
• Keywords: Advanced Distinguishing Features, Artificial Intelligence, ISMIS 2009, Semantic Technologies, Top-k Retrieval Techniques