Maps are being widely used as tools for presenting or retrieving information with spatial attributes. Existing map-based applications do not use the full potential of digital maps and geographical data: social media are disconnected from the underlying geographical entities; maps as visualization tools do not use the urban topology to cluster point of interest; maps as input systems are intrinsically ambiguous. This work presents a topology-aware indexing system supporting a new metaphor for a real integration between social media and digital maps. The methodology and technical solutions required to build and populate the indexing table starting from OpenStreetMap spatial primitives are introduced.

Topology-aware indexing system for Urban Knowledge / Antonini, A.; Lupi, L.; Boella, G.; Schifanella, C.; Buccoliero, S.. - (2017). (Intervento presentato al convegno IEEE Technically Sponsored Computing Conference 2017 tenutosi a London nel 18-20 July 2017).

Topology-aware indexing system for Urban Knowledge

Lupi, L.;Boella, G.;
2017

Abstract

Maps are being widely used as tools for presenting or retrieving information with spatial attributes. Existing map-based applications do not use the full potential of digital maps and geographical data: social media are disconnected from the underlying geographical entities; maps as visualization tools do not use the urban topology to cluster point of interest; maps as input systems are intrinsically ambiguous. This work presents a topology-aware indexing system supporting a new metaphor for a real integration between social media and digital maps. The methodology and technical solutions required to build and populate the indexing table starting from OpenStreetMap spatial primitives are introduced.
2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2694646
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