Map4rdf - Faceted Browser for Geospatial Datasets
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This document describes Map4rdf, a faceted browser for exploring and visualizing RDF datasets with geospatial information. Map4rdf allows users to browse datasets through facets and view the data on interactive maps. The document outlines Map4rdf's architecture and functionality, and provides examples of its use with geospatial datasets from Spain including provinces, weather stations, and meteorological observations. Future work aims to improve facet visualization and add support for more semantic vocabularies.
Map4rdf - Faceted Browser for Geospatial Datasets
- 1. Map4rdf - Faceted Browser for Geospatial Datasets Alexander de León, Filip Wisniewki, Boris Villazón-Terrazas, Oscar Corcho Facultad de Informática, Universidad Politécnica de Madrid Campus de Montegancedo sn, 28660 Boadilla del Monte, Madrid http://www.oeg-upm.net [email protected] Phone: 34.91.3366605, Fax: 34.91.3524819 @boricles Slides available at: http://www.slideshare.net/boricles/ Acknowledgements: Daniel Garijo, Victor Saquicela, Asunción Gómez-Pérez, Luis M. Vilches, and all OEG members involved in the Linked Data initiatives WorkdistributedunderthelicenseCreativeCommonsAttribution- Noncommercial-Share Alike 3.0
- 2. ToC • Motivation • Map4rdf overview • Use cases • Conclusions and future work 2
- 3. Motivation Effective usage, develop applications that exploit these data Streaming resources 3
- 4. Motivation Linked Open Data Cloud 4
- 5. ToC • Motivation • Map4rdf overview • Use cases • Conclusions and future work 5
- 6. Overview • Faceted browsing tool for exploring and visualizing RDF datasets enhanced with geospatial information. map4rdf SPARQL Triplestore http://oegdev.dia.fi.upm.es/projects/map4rdf/ http://github.com/pejot/linkeddata-visualization-tools/ 6
- 7. Basic architecture Web*Client* Faceted*Browsing** Interface* Event*Bus* Invoker* Command*A* Command*B* Command*C* Command*D* Command*E* Web*Server* Dispatch*Servlet* Command* Command* Command* Command* Command* Handler*A* Handler*B* Handler*C* Handler*D* Handler*E* Data*Access*Object*(DAO)* SPARQL*Endpoint* Triplestore* 7
- 8. Geospatial model • Model used by DBPedia http://www.w3.org/2005/Incubator/geo/ 40.41 geo:lat dbpedia:Madrid geo:long -3.70 • GeoLinkedData Geometry Model, NeoGeo Vocab http://geo.linkeddata.es/web/guest/modelos http://geovocab.org/doc/neogeo/ geo:Point geo:lat 40.41 rdf:type geo:geometry geoes:Madrid geoes:wgs84/40.41_-3.70 geo:long -3.70 8
- 9. Geospatial model - more complex geometries geoes:ontology/LineString rdf:type geo:geometry geoes:Ebro geoes:resource/7979707 geoes:ontology/formedBy geoes:ontology/formedBy geoes:wsg84/0.67_45.3 … geoes:wsg84/0.45_45.4 geo:Point geo:lat geo:long geo:lat geo:long 40.41 -3.70 40.41 -3.70 9
- 10. Google Maps 10
- 11. OpenStreetMap 11
- 13. Catalogue Service Web • http://www.idee.es/csw-inspire-idee/srv/en/main.home • http://www.idee.es/csw-inspire-idee/servicio • Also we can include any other WMS service 13
- 15. Suggestions of Editions / Data curation • For example, let us assume that the resource that represents the Murcia Airport has not the correct information. 15
- 16. ToC • Motivation • Map4rdf overview • Use cases • Conclusions and future work 16
- 17. GeoLinkedData • An open initiative whose aim is to enrich the Web of Data with Spanish geospatial data • It started off by publishing diverse information sources, such as National Geographic Institute of Spain (IGN) and Statistical Institue of Spain (INE). • http://geo.linkeddata.es/ 17
- 18. Provinces 18
- 19. Integrate data coming from the Statistical Institute 19
- 20. Provinces – Industry Production Index Specific visualizations for datasets based on SCOVO and RDF Data Cube http://vocab.deri.ie/scovo http://www.w3.org/TR/vocab-data-cube/ 20
- 21. Meteorological Linked Data - AEMET • AEMET, Spanish Meteorological Office, data • Meteorological data registered by its weather stations, radars, lightning detectors and ozone soundings. • http://aemet.linkeddata.es/ 21
- 22. Weather stations 11/02/11 22
- 23. Observations for each station 11/02/11 23
- 24. A particular observation Specific visualizations for datasets based on SSN Ontology – ongoing work http://www.w3.org/2005/Incubator/ssn/ssnx/ssn 11/02/11 24
- 25. ToC • Motivation • Map4rdf overview • Use cases • Conclusions and future work 25
- 26. Conclusions • map4rdf for exploring and visualizing RDF datasets. • Easy to configure, use and extend • It is also used in El Viajero, an application for exploiting, managing and organizing Linked Data in the domain of news and blogs about traveling http://webenemasuno.linkeddata.es/index_en.html • Future work • Improve facets visualization • Include more visualizations for specific vocabularies 26
- 28. Map4rdf - Faceted Browser for Geospatial Datasets Alexander de León, Filip Wisniewki, Boris Villazón-Terrazas, Oscar Corcho Facultad de Informática, Universidad Politécnica de Madrid Campus de Montegancedo sn, 28660 Boadilla del Monte, Madrid http://www.oeg-upm.net [email protected] Phone: 34.91.3366605, Fax: 34.91.3524819 @boricles Slides available at: http://www.slideshare.net/boricles/ Acknowledgements: Daniel Garijo, Victor Saquicela, Asunción Gómez-Pérez, Luis M. Vilches, and all OEG members involved in the Linked Data initiatives WorkdistributedunderthelicenseCreativeCommonsAttribution- Noncommercial-Share Alike 3.0