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.

Query approximation by semantic smilarity in GeoPQL

Anna Formica;Patrizia Grifoni;Maurizio Rafanelli
2006

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.
2006
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Istituto di Ricerche sulla Popolazione e le Politiche Sociali - IRPPS
978-3-540-48273-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/13801
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