This article is centred on analysing the state of the art of the conflation processes applied to
geospatial databases (GDBs) from heterogeneous sources. The term conflation is used to …

The area of disaster management receives increasing attention from multiple disciplines of
research. A key role of computer scientists has been in devising ways to manage and …

The most important attribute of geospatial platforms is their unique potential to aggregate a
multitude of public and private geographic data sets, providing access to data from …

Semantic and context knowledge has been envisioned as an appropriate solution for
addressing the content heterogeneity and information overload in mobile Web information …

Approximate data matching is a central problem in several data management processes,
such as data integration, data cleaning, approximate queries, similarity search and so on. An …

The scale and magnitude of complex and pressing environmental issues lend urgency to the
need for integrative and reproducible analysis and synthesis, facilitated by data-intensive …

Due to the growing availability of geospatial data from a wide variety of sources, there is a
pressing need for robust, accurate and automatic merging and matching techniques …

Disaster and crisis situations are characterised by high dynamics and complexity with
human lives and substantial environmental and economic consequences at stake. The …

The goal of the work presented in this paper is to obtain large amounts of semistructured
data from the web. Harvesting semistructured data is a prerequisite to enabling large-scale …

GAMMEU1 constitutes an integrated approach that covers the different elements related to
the asset management of power transformers in the environment of a utility. GAMMEU …