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 field of Geographical Information Systems (GIS) has experienced a rapid and ongoing
growth of available sources for geospatial data. This growth has demanded more data …

Global data on settlements, built-up land and population distributions are becoming
increasingly available and represent important inputs to a better understanding of key …

Cybersecurity breaches are common anomalies for distributed cyber-physical systems
(CPS). However, the cyber security breach classification is still a difficult problem, even …

It is common practice for data providers to include text descriptions for each column when
publishing data sets in the form of data dictionaries. While these documents are useful in …

Point of interest (POI) data provide digital representations of places in the real world, and
have been increasingly used to understand human-place interactions, support urban …

The synthesis of spatial data from the various sources available on the Web is a major
challenge for current applications based on Web-based information retrieval and spatial …

One difficulty in integrating geospatial data sets from different sources is variation in feature
classification and semantic content of the data. One step towards achieving beneficial …

Data matching is one of the fundamental measures that helps make different data sets
interoperable. This thesis is devoted to a new contextual matching approach for road …

Remote sensing technology still faces challenges when it comes to monitoring tasks that
must be able to stand up to validation from technical, scientific, and practical points of view …