Prof. Arup Dasgupta, in Geospatial World, May 2013
In recent years, Semantic Web technologies have strengthened their position in the areas of data and knowledge management. Standards for organizing and querying semantic information, such as RDF(S) and SPARQL are adopted by large academic communities, while corporate vendors adopt semantic technologies to organize, expose, exchange and retrieve their datasets as Linked Data.
Moreover, a large number of currently available datasets (both RDF and conventional) contain geospatial information, which is of high importance in several application scenarios, e.g., navigation, tourism, or social media. Examples include DBpedia, Geonames, OSM and its RDF counterpart, LinkedGeoData. RDF stores have become robust and scalable enough to support volumes of billions of records (RDF triples) but traditional geospatial data management systems still significantly outperform them in efficiency and scalability. On the other hand, GIS systems can benefit from Linked Data principles (e.g. schema agility, interoperability).
GeoLD will provide the opportunity for the Linked Data community to focus on the emerging need for efficient, effective and efficient production, management and utilization of Geospatial information within Linked Data. Emphasis will be given to works describing novel methodologies, algorithms and tools that advance the current state of the art with respect to efficiency or effectiveness. We welcome both mature solutions, as well as ongoing works that present promising results.
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