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 …

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 …

With volunteered geographic information (VGI) platforms such as OpenStreetMap (OSM)
becoming increasingly popular, we are faced with the challenge of assessing the quality of …

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 …

One of the most significant challenges in cities concerns urban mobility. Urban mobility
involves the use of different modes of transport, which can be individual or collective, and …

With the rapid advance of geospatial technologies, the availability of geospatial data from a
wide variety of sources has increased dramatically. It is beneficial to integrate/conflate these …

As the availability of various geospatial data increases, there is an urgent need to integrate
multiple datasets to improve spatial analysis. However, since these datasets often originate …

Abstract The Topologically Integrated Geographic Encoding and Referencing (TIGER) data
are an essential part of the US Census and represent a critical element in the nation's spatial …

Local governments frequently use parcel maps or other spatial data for decision-making, but
much of this data is often inaccurate and outdated, producing a negative influence on the …