A system for retrieving top-k candidates to job positions (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• A system for retrieving top-k candidates to job positions (Contributo in atti di convegno) (literal)

Anno

• 2009-01-01T00:00:00+01:00 (literal)

Alternative label

• Straccia U ; Tinelli E ; Colucci S ; Di Noia T ; Di Sciascio E (2009)
  A system for retrieving top-k candidates to job positions
  in 22nd International Workshop on Description Logics, Oxford, UK
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Straccia U ; Tinelli E ; Colucci S ; Di Noia T ; Di Sciascio E (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://ceur-ws.org/Vol-477/paper_7.pdf (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• 22nd International Workshop on Description Logics (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 477 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: DL-09 - 22nd International Workshop on Description Logics (Oxford, UK, 27-30 July 2009). Proceedings, vol. 477 CEUR, 2009. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• 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)

Note

• DBLP (literal)
• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI; Universita' di Bari (literal)

Titolo

• A system for retrieving top-k candidates to job positions (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)

Prodotto di

• Digital Libraries (ICT.P08.010.002) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• UMBERTO STRACCIA (Persona)

Insieme di parole chiave

• Keywords of "A system for retrieving top-k candidates to job positions" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• UMBERTO STRACCIA (Persona)

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Digital Libraries (ICT.P08.010.002) (Modulo)

Insieme di parole chiave di

• Keywords of "A system for retrieving top-k candidates to job positions" (Insieme di parole chiave)