Various applications, ranging from map creation tools to navigation systems, employ
methods introduced by the domain of georeferencing, which investigates techniques for …

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 …

Issues of heterogeneity and incompatibility in geospatial data become increasingly
important as data sources become more abundant. Scientific research and decision-making …

Historical maps contain rich geographic information about the past of a region. They are
sometimes the only source of information before the availability of digital maps. Despite their …

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 …

Given two geographic databases, a fusion algorithm should produce all pairs of
corresponding objects (ie, objects that represent the same real-world entity). Four fusion …

Magnesium–silver alloys are of high interest for the use as temporary bone implants due to
their antibacterial properties in addition to biocompatibility and biodegradability. Thin wires …

When integrating geo‐spatial data sets, a join algorithm is used for finding sets of
corresponding objects (ie, objects that represent the same real‐world entity). This article …

Most commonly used road-based homonymous entity matching algorithms are only
applicable to the same scale, and are weak in recognizing the one-to-many and many-to …

Spatial data conflation involves the matching and merging of counterpart features in multiple
datasets. It has applications in practical spatial analysis in a variety of fields. Conceptually …