Visualización y explotación de información geoespacial en formato RDF (Resource description framework)

Abstract

The development of the Semantic Web means a paradigm shift, since it proposes the change from a syntactic web to a web whose main objective is to provide meaning to the data. A Semantic Web application is Linked Data that can be defined as a set of good practices for publishing and linking data. With Linked Data both people and machines can explore the web of linked data. In this sense, there is the Ecuadorian initiative of linked geospatial data called GEO LINKED DATA ECUADOR. Currently this initiative makes use of the MAP4RDF tool for the visualization and exploitation of geospatial information, with SPARQL query language and the capacity of spatial queries with GeoSPARQL. By using the GeoSPARQL standard it is possible to represent and consult geospatial information of different terrestrial features such as buildings, roads, rivers, etc. MAP4RDF is a Java Web application that can be loaded and deployed on a Web Server, in addition to displaying data sources in RDF format, this application has limitations such as the excessive time it takes to deploy resources graphically on a map, in addition the inability to manage graphic parameters (color, width, transparency and marker image). In this work, a geospatial information viewer was developed to visualize and exploit the Ecuadorian repository of geospatial linked data. Users targeted by this application will be able to interact with it without the need to have programming knowledge or Linked Data. The viewer uses the SPARQL query language and the geospatial query capability of GeoSPARQL. The viewer was deployed on the linkeddata.ec server of the Department of Computer Science (DCC) of the University of Cuenca. For the development of this work, services were used both from the geospatial platform CARTO (Web Geographic Information System) and from the Apache Marmotta platform (RDF Triple Store). The developed Web application is able to visualize resources that reside on the PostgreSql geospatial database of the CARTO platform, as well as resources that reside on the PostgreSql database of the Apache Marmotta platform.