PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Straccia U., Tinelli E., Colucci S., Di Noia T., Di Sciascio E. Semantic-based top-k retrieval for competence management. In: ISMIS-09 - Foundations of Intelligent Systems. 18th International Symposium on Methodologies for Intelligent Systems (Prague, 14-17 September 2009). Proceedings, pp. 473 - 482. (Lecture Notes in Artificial Intelligence, vol. 5722). Springer Verlag, 2009.
 
 
Abstract
(English)
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.
URL: http://www.springerlink.com/content/lx6r117q5397/?sortorder=asc&p_o=40
DOI: 10.1007/978-3-642-04125-9_50
Subject Top-k retrieval
Human resource Management
I.2.4 Knowledge Representation Formalisms and Methods


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