Geospatial Data Integration and Visualisation Using Linked Data

Inter- linking thematic linked open datasets with geographic reference datasets would enable us to take advantage of both information sources to link independent the- matic datasets

In the demo paper [4] we presented Sextant 3 , a tool that enables the vi- sualization and exploration of the spatial dimension of linked geospatial data.. Sextant enables map

With LDIF, we try to fill this gap and provide an open-source Linked Data integration framework that provides for data translation and identity resolution while keeping track of

Most of the Linked Data is generated auto- matically by converting existing structured data sources (typically relational databases) into RDF, using an ontology that closely matches

In order to use such approach for integration, data that is originally stored in distributed legacy systems should be transformed to semantic friendly format first and then ontology

In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to

Karma retrieves r2rml mappings in its repository that describe crm:E21 Person, and uses these mappings to generate a candidate set of linked data sources to integrate,

In order to focus our integration on data sources and to answer the dynamic and transparent data source management challenges, we first proposed a formalism to help the representation