My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.

Intelligent and Personalized Community Maps

Mauro, Noemi
2017-01-01

Abstract

My PhD project focuses on Participatory GIS (PGIS). In the project I analyze two methodologies to offer personalized search results in community maps and a natural interaction with the system. The first consists of automatically gathering the terms according to which the users express their information needs, in order to enrich the domain conceptualization of a PGIS, giving common definitions for places. The second concerns the creation of ontology-based user models that reflect the interests, lexicon and modality of expression adopted by each person, mapped to the domain ontology adopted by the PGIS. In the project I also analyze how these techniques may be jointly used during the query expansion process to retrieve more accurate and relevant search results.
2017
22nd International Conference on Intelligent User Interfaces, IUI 2017
Limassol, Cyprus
2017
International Conference on Intelligent User Interfaces, Proceedings IUI
Association for Computing Machinery
181
184
9781450348935
https://dl.acm.org/citation.cfm?id=3038282
Linked data; Ontologies; Ontology-based user model; Participatory GIS; Personalization; Semantic search; Software; Human-Computer Interaction
Mauro, Noemi*
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1663963
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