We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.
OnToMap - Semantic Community Maps for Knowledge Sharing
ARDISSONO, Liliana;LUCENTEFORTE, Maurizio;MAURO, NOEMI;SAVOCA, ADRIANO;
2017-01-01
Abstract
We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
p317-ardissono.pdf
Accesso riservato
Descrizione: Articolo principale
Tipo di file:
PDF EDITORIALE
Dimensione
2.19 MB
Formato
Adobe PDF
|
2.19 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
|
ht-2017-per-www.pdf
Accesso aperto
Descrizione: Articolo principale
Tipo di file:
POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione
1.79 MB
Formato
Adobe PDF
|
1.79 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
