The correlated exploitation of heterogeneous data sources offering very large archival and
streaming data is important to increasing the accuracy of computations when analysing and …

A lot of geospatial data has become available at no charge in many countries recently.
Geospatial data that is currently made available by government agencies usually do not …

Abstract Representations of geographic entities captured in popular knowledge graphs such
as Wikidata and DBpedia are often incomplete. OpenStreetMap (OSM) is a rich source of …

Geospatial data constitute a considerable part of Semantic Web data, but at the moment, its
sources are inadequately interlinked with topological relations in the Linked Open Data …

Ontology matching consists of finding correspondences between semantically related
entities of different ontologies. The Ontology Alignment Evaluation Initiative (OAEI) aims at …

Linked data aims at publishing data expressed in RDF (Resource Description Framework) at
the scale of the worldwide web. These datasets interoperate by publishing links which …

A geospatial Knowledge Graph (KG) is a heterogeneous information network, capable of
representing relationships between spatial entities in a machine-interpretable format, and …

Abstract The Linked Data paradigm builds upon the backbone of distributed knowledge
bases connected by typed links. The mere volume of current knowledge bases as well as …

An ever-increasing number of applications in critical domains, such as maritime and
aviation, generate, collect, manage and process spatio-temporal data related to the mobility …

Historical maps provide rich information for researchers in many areas, including the social
and natural sciences. These maps contain detailed documentation of a wide variety of …