A holistic semantic similarity measure for viewports in interactive maps

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dc.contributor.author Ballatore, Andrea
dc.contributor.author Wilson, David C.
dc.contributor.author Bertolotto, Michela
dc.date.accessioned 2012-08-10T15:24:53Z
dc.date.available 2012-08-10T15:24:53Z
dc.date.copyright 2012 Springer-Verlag Berlin Heidelberg en
dc.date.issued 2012-04
dc.identifier.isbn 978-3-642-29246-0
dc.identifier.uri http://hdl.handle.net/10197/3740
dc.description Web and Wireless Geographical Information Systems International Symposium (W2GIS 2012). April 12-13, 2012, Naples, Italy en
dc.description.abstract In recent years, geographic information has entered the mainstream, deeply altering the pre-existing patterns of its production, distribution, and consumption. Through web mapping, millions of online users utilise spatial data in interactive digital maps. The typical unit of visualisation of geo-data is a viewport, defined as a bi-dimensional image of a map, fixed at a given scale, in a rectangular frame. In a viewport, the user performs analytical tasks, observing individual map features, or drawing high-level judgements about the objects in the viewport as a whole. Current geographic information retrieval (GIR) systems aim at facilitating analytical tasks, and little emphasis is put on the retrieval and indexing of visualised units, i.e. viewports. In this paper we outline a holistic, viewport-based GIR system, offering an alternative approach to feature-based GIR. Such a system indexes viewports, rather than individual map features, extracting descriptors of their high-level, overall semantics in a vector space model. This approach allows for efficient comparison, classification, clustering, and indexing of viewports. A case study describes in detail how our GIR system models viewports representing geographical locations in Ireland. The results indicate advantages and limitations of the viewport-based approach, which allows for a novel exploration of geographic data, using holistic semantics. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 527227 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Springer-Verlag en
dc.relation.ispartof Di Martino, S., Peron, A., and Tezuka, T. (eds.). Web and Wireless Geographical Information Systems 11th International Symposium, W2GIS 2012, Naples, Italy, April 12-13, 2012. Proceedings en
dc.relation.requires CSI Research Collection en
dc.rights The final publication is available at www.springerlink.com. http://www.springerlink.com/content/f27v127105406431/ en
dc.subject Geographic information retrieval en
dc.subject Viewport en
dc.subject Holistic semantics en
dc.subject Geo-semantics en
dc.subject OpenStreetMap en
dc.subject Vector space model en
dc.subject.lcsh Geographic information systems en
dc.subject.lcsh Information visualization en
dc.subject.lcsh Semantics (Philosophy) en
dc.title A holistic semantic similarity measure for viewports in interactive maps en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.identifier.doi 10.1007/978-3-642-29247-7_12
dc.neeo.contributor Ballatore|Andrea|aut| en
dc.neeo.contributor Wilson|David C.|aut| en
dc.neeo.contributor Bertolotto|Michela|aut| en


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