In recent years, with the advent of the web of data, a growing number of national mapping agencies tend to publish their geospatial data as Linked Data. However, differences between traditional GIS data models and Linked Data model can make the publication process more complicated. Besides, it may require, to be done, the setting of several parameters and some expertise in the semantic web tech...

We introduce the temporal component of the stRDF data model and the stSPARQL query language, which have been recently proposed for the representation and querying of linked geospatial data that changes over time. With this temporal component in place, stSPARQL becomes a very expressive query language for linked geospatial data, going beyond the recent OGC standard GeoSPARQL, which has no suppor...

Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world an...

Querying geospatial data from multiple heterogeneous sources backed by different management technologies poses an interesting problem in the data integration and in the subsequent result interpretation. This paper proposes broker techniques for answering a user’s complex spatial query: finding relevant data sources (from a catalogue of data sources) capable of answering the query, eventually sp...

RCC8 is a constraint language that serves for qualitative spatial representation and reasoning by encoding the topological relations between spatial entities. As such, RCC8 has been recently adopted by GeoSPARQL in an effort to enrich the Semantic Web with qualitative spatial relations. We focus on the redundancy that these data might harbor, which can throttle graph related applications, such ...

Integrating data from heterogeneous sources has led to the development of Extract-Transform-Load (ETL) systems and methodologies, as a means of addressing modern interoperability challenges. A few such tools have been available for converting between geospatial formats, but none specifically addressing the emerging needs of geospatially-enabled RDF stores. In this paper, we introduce TripleGeo,...

The ISO certified ontology of the CIDOC CRM provides the concepts to model archaeological data in their semantic context while the Open Geospatial Consortiums (OGC) defines standards for geographic information. In this paper we present the CRMgeo extension which integrates the CIDOC CRM the with the OGC standard of ‘GeoSPARQL– A Geographic Query Language for RDF Data’ which is based on concepts...

Nowadays, we are witnessing a rapid increase of spatiotemporal data that permeates different aspects of our everyday life such as mobile geolocation services and geo-located weather sensors. This big amount of data needs innovative analytics techniques to ease correlation and comparison operations. Visual Analytics is often advocated as a doable solution thanks to its ability to enable users to...

Geospatial reasoning has grown larger scope in the semantic web. Increasinglymore information is geolocated,moremobile devices produce geocoded records, and more web mashups are created to convey geospatial information. Semantics can support the integration of geospatial information, track the provenance and quality of the data shown to an end user, and improve visualizations and querying of ge...