PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Straccia U., Tinelli E., Di Noia T., Di Sciascio E. Top-k Retrieval for Automated Human Resource Management. In: SEBD 2009 - 17th Italian Symposium on Advanced Database Systems (Camogli, Genova, 21-24 June 2009). Atti, pp. 161 - 168. Seneca Edizioni, 2009.
 
 
Abstract
(English)
We present a knowledge-based system, for skills and talent manage- ment, 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 re- quested profile and a semantic-based ranking of retrieved candidates. Based on the knowledge formalized within a domain ontology, the system implements an ap- proach 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.
Subject Top-k retrieval
Human resource Management
I.2.4 Knowledge Representation Formalisms and Methods


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