Explosive growth in geospatial data and the emergence of new spatial technologies
emphasize the need for automated discovery of spatial knowledge. Spatial data mining is …

Abstract Knowledge Representation (KR) originated as a discipline within Artificial
Intelligence, and is concerned with the representation of knowledge in symbolic form so that …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

Obfuscation concerns the practice of deliberately degrading the quality of information in
some way, so as to protect the privacy of the individual to whom that information refers. In …

The last 10 years have seen a sudden rise in interest in the use of Geographical Information
Systems (GIS) in historical research. This has led to a field that has become known …

This paper complements landmark research with an approach to formalize the structural
salience of objects along routes. The aim is to automatically integrate salient objects …

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 …

Summary Spatial Data Mining is the process of discovering interesting and previously
unknown, but potentially useful patterns from large spatial datasets. Extracting interesting …

Data modelling is a critical stage of database design. Recent research has focused upon
object-oriented data models, which appear more appropriate for certain applications than …

We challenge the widespread presumption that matter and objects are ontologically prior to
processes and events, and also the less widespread but increasingly popular view that …