This paper presents the information search features of OnToMap, a Participatory GIS supporting flexible information search, crowdsourcing and collaborative annotation of shared geographical information spaces. The advanced features offered by the application (e.g., semantic query expansion, presentation of information under different points of view, browsing of linked data) are based on a semantic knowledge representation layer that enables the exploitation of linguistic and domain knowledge to describe concepts, the integration of heterogeneous data, and the exploration of semantic relations among information types.

OnToMap - Semantic Community Maps for knowledge sharing / Ardissono, Liliana; Lucenteforte, Maurizio; Mauro, Noemi; Savoca, Adriano; Voghera, Angioletta; LA RICCIA, Luigi. - ELETTRONICO. - (2017), pp. 1-2. (Intervento presentato al convegno ACM HT 2017 tenutosi a Prague nel July 2017) [10.1145/3078714.3078747].

OnToMap - Semantic Community Maps for knowledge sharing

VOGHERA, Angioletta;LA RICCIA, LUIGI
2017

Abstract

This paper presents the information search features of OnToMap, a Participatory GIS supporting flexible information search, crowdsourcing and collaborative annotation of shared geographical information spaces. The advanced features offered by the application (e.g., semantic query expansion, presentation of information under different points of view, browsing of linked data) are based on a semantic knowledge representation layer that enables the exploitation of linguistic and domain knowledge to describe concepts, the integration of heterogeneous data, and the exploration of semantic relations among information types.
2017
978-1-4503-4708-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2670039