Answering vague queries in fuzzy DL-LITE (Contributo in atti di convegno)

Type

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

Label

• Answering vague queries in fuzzy DL-LITE (Contributo in atti di convegno) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Alternative label

• Straccia U. (2006)
  Answering vague queries in fuzzy DL-LITE
  in Proceedings of the 11th International Conference on Information Processing and Managment of Uncertainty in Knowledge-Based Systems, (IPMU-06), Paris
  (literal)

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

• Straccia U. (literal)

Pagina inizio

• 2238 (literal)

Pagina fine

• 2245 (literal)

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

• http://ipmu2006.lip6.fr/program.php (literal)

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

• In: Proceedings of the 11th International Conference on Information Processing and Managment of Uncertainty in Knowledge-Based Systems, (IPMU-06) (Paris, 4-7-2006). Proceedings, pp. 2238-2245. E.D.K Paris, 2006. (literal)

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

• ABSTRACT: Fuzzy Description Logics (fuzzy DLs) allow to describe structured knowledge with vague concepts. Unlike classical DLs, in fuzzy DLs an answer is a set of tuples ranked according to the degree they satisfy the query. In this paper, we consider fuzzy DL-Lite. We show how to compute efficiently the top-$k$ answers of a complex query (ie~conjunctive queries) over a huge set of instances. (literal)

Note

• Google Scholar (literal)

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

• ISTI-CNR (literal)

Titolo

• Answering vague queries in fuzzy DL-LITE (literal)

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

• 2-84254-112-X (literal)

Abstract

• Fuzzy Description Logics (fuzzy DLs) allow to describe structured knowledge with vague concepts. Unlike classical DLs, in fuzzy DLs an answer is a set of tuples ranked according to the degree they satisfy the query. In this paper, we consider fuzzy DL-Lite. We show how to compute efficiently the top-$k$ answers of a complex query (ie~conjunctive queries) over a huge set of instances. (literal)

Prodotto di

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

Autore CNR

• UMBERTO STRACCIA (Persona)

Insieme di parole chiave

• Keywords of "Answering vague queries in fuzzy DL-LITE" (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 "Answering vague queries in fuzzy DL-LITE" (Insieme di parole chiave)