Memorias de investigación
Communications at congresses:
Map4RDF-iOS: a tool for exploring Linked Geospatial Data

Research Areas
  • Information technology and adata processing

During the last years, we have seen an increase in the amount of geospatial data published following Linked Data (LD) principles . Some examples are LinkedGeoData, the UK?s Open 1 2 Government Data initiative,3 or the European Environmental Agency portal4. Currently, several vocabularies are used to describe geographic information: GeoSPARQL,5 NeoGeo,6 W3C Basic Geo Vocabulary,7 ISA Programme Location Core Vocabulary,8 and And there are standardization initiatives, such as the W3C Location and Addresses Community Group,9 where work is being done on bridging between such vocabularies in order to describe geospatial locations as LD. However, there are not too many examples of tools or services that allow visualizing Linked Geospatial Data (LGD). The LinkedGeoData project (Stadler et al. 2012) offers a faceted browser10 to visualize and edit the OpenStreetMap11 dataset. Similarly, Map4RDF (Leon et al. 2012) was initially used in the project to visualize and explore LGD, providing the possibility of editing the underlying data and selecting more types of maps. Keßler et al. (2012) converted metadata about publications, authors, and conferences of the GIScience field into LGD. The resulting dataset can be explored in the spatial@linkedscience portal.12 More recently, SexTant (Bereta et al. 2013) allows visualizing and browsing timeevolving LGD, and users can collaborate in the creation and sharing of thematic maps that combine multiple LGD sources. The work presented in this paper stems from our earlier work in the Map4RDF webbased framework. When using this and other tools in tablets, we realized that the performance (in terms of user responsiveness, and hence in terms of quality of service) of existing tools was not good enough, especially 1 2 3 4 5 6 7 8 9 10 11 12 since such tools did not benefit from the use of native code. As a result, we decided to develop Map4RDFiOS in parallel to Map4RDF, with a focus on providing similar functionalities to the webbased version, although exploiting usability features that are allowed by tabletbased applications. In Calbimonte et al. (2013) we already demonstrated the use of Map4RDFiOS to visualize static and dynamic RDF data, in the context of presenting transport data in Madrid, but we did not provide yet an exhaustive description of its functionalities.
Linking Geospatial Data 2014
London, Shoreditch, Reino Unido
Start Date
End Date
From page
To page
W3C online (

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial