The correlated exploitation of heterogeneous data sources offering very large historical as
well as streaming data is important to increasing the accuracy of computations when …

The spatial join is a popular operation in spatial database systems and its evaluation is a
well-studied problem. This paper reviews research and recent trends on spatial join …

An immense wealth of data is already accessible through the Semantic Web and an
increasing part of it also has geospatial context or relevance. Although existing technology is …

RDF data are traditionally accessed using structured query languages, such as SPARQL.
However, this requires users to understand the language as well as the RDF schema …

The ever-increasing size of data emanating from mobile devices and sensors, dictates the
use of distributed systems for storing and querying the data. Typically, these data sources …

An ever-increasing number of real-life applications produce spatiotemporal data that record
the position of moving objects (persons, cars, vessels, aircrafts, etc.). In order to provide …

The growing proliferation of geographic information presents a substantial challenge to the
traditional framework of a geographic information analysis and service. The dynamic …

The paper proposes Riso-Tree, a generic indexing framework for geographic knowledge
graphs. Riso-Tree enables fast execution of graph queries that involve spatial predicates …

RDF data are traditionally accessed using structured query languages, such as SPARQL.
However, this requires users to understand the language as well as the RDF schema …

We present a general encoding scheme for the efficient management of spatial RDF data.
The scheme approximates the geometries of the RDF entities inside their (integer) IDs and …