Semantic-based top-k retrieval for competence management (Contributo in atti di convegno)

Type
Label
  • Semantic-based top-k retrieval for competence management (Contributo in atti di convegno) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-04125-9_50 (literal)
Alternative label
  • Straccia U.; Tinelli E.; Colucci S.; Di Noia T.; Di Sciascio E. (2009)
    Semantic-based top-k retrieval for competence management
    in 18th International Symposium on Methodologies for Intelligent Systems
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Straccia U.; Tinelli E.; Colucci S.; Di Noia T.; Di Sciascio E. (literal)
Pagina inizio
  • 473 (literal)
Pagina fine
  • 482 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-642-04125-9_50 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 5722 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • 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. (literal)
Note
  • Google Scholar (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Politecnico di Bari (literal)
Titolo
  • Semantic-based top-k retrieval for competence management (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-04124-2 (literal)
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. (literal)
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