This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

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 …

Traffic managers strive to have the most accurate information on road conditions, normally
by using sensors and cameras, to act effectively in response to incidents. The prevalence of …

The integration of heterogeneous geospatial data offers possibilities to manually and
automatically derive new information, which are not available when using only a single data …

The purpose of object matching in conflation is to identify corresponding objects in different
data sets that represent the same real-world entity. This article presents an improved linear …

The aim of matching spatial data at different map scales is to find corresponding objects at
different levels of detail (LODs) that represent the same real-world phenomena. This is a …

Although several methods of handling object matching problems across different datasets
have been developed, there is still a need to design new approaches to address the diverse …

Object matching is used in various applications including conflation, data quality
assessment, updating, and multi-scale analysis. The objective of matching is to identify …

In integration of road maps modeled as road vector data, the main task is matching pairs of
objects that represent, in different maps, the same segment of a real-world road. In an ad …

Point of interest (POI) matching finds POI pairs that refer to the same real-world entity, which
is the core issue in geospatial data integration. To address the low accuracy of geospatial …