http://www.cnr.it/ontology/cnr/individuo/prodotto/ID180566
Query approximation by semantic smilarity in GeoPQL (Contributo in atti di convegno)
- Type
- Label
- Query approximation by semantic smilarity in GeoPQL (Contributo in atti di convegno) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/11915072_73 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Fernando Ferri; Anna Formica; Patrizia Grifoni; Maurizio Rafanelli (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Fernando Ferri, Patrizia Grifoni: IRPPS-CNR
Anna Formica, Maurizio Rafanelli: IASI-CNR (literal)
- Titolo
- Query approximation by semantic smilarity in GeoPQL (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-540-48273-4 (literal)
- Abstract
- This paper proposes a method for query approximation in Geographical Information Systems. In our approach, queries are expressed by the Geographical Pictorial Query Language (GeoPQL), and query approximation is performed using WordNet, a lexical database for the English language available on the Internet. Due to the focus on geographical context, we address WordNetpartitiontaxonomies. If a concept contained in a query has no match in the database, the query is approximated using the immediate superconcepts and subconcepts in the WordNet taxonomy, and their related degrees of similarity. Semantic similarity is evaluated using the information content approach, which shows a higher correlation with human judgment than the traditional similarity measures. (literal)
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