This position paper describes our experiences of authoring a geospatial ontology in the domain of hydrology topography, giving examples of where we find the additional functionality of OWL 1.1 useful. We also comment on approaches to combining spatial and semantic reasoning. We contend that spatial reasoning can be best achieved through a combination of semantic and spatial database technologie...

Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper introduces a set of basic operations which should be supported by a spatial database system (SDBS) to express algorithms for KDD in SDBS. For this purpose, we introduce the concepts of neighborhood graphs and paths and a small set...

DEFINITION “Spatial databases” consist of large groups of data structured in a way to represent the geographic features of interest to the users of a system. Spatial database models are schematic representations of these data. Database models are created to design and document the system, to facilitate communication and to support programming. They are created using CASE tools (computer-assiste...

Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images, computer tomography or other scientific equipment. Knowledge discovery in databases (KDD) is the process of discovering valid, novel and potentially useful patterns from large databases. Typical tasks for knowledge d...

The importance of the spatial component of data items has been long recognized and gave rise to a successful line of research and development in Geographic Information Systems (GIS). In many application domains it is also essential to deal with the evolution of data along time and to integrate spatial, temporal and other aspects of the information domain in an expressive and operationally effec...

In this paper, we describe the spatial access method z-ordering and its application in the context of the research project GODOT, which is based on the commercial object-oriented database system ObjectStore LLOW91]. After identifying a range of spatial predicates, we show that the intersection join is of crucial importance for spatial joins. Next, we propose an eecient method for query processi...

Mining spatial association rules is one of the most important branches in the field of Spatial Data Mining (SDM). Because of the complexity of spatial data, a traditional method in extracting spatial association rules is to transform spatial database into general transaction database. The Apriori algorithm is one of the most commonly used methods in mining association rules at present. But a sh...

This demonstration presents a spatial database integration for novel CAD applications as digital mockup or haptic rendering. The spatial data management and query processor is fully embedded into the Oracle8i server and has been evaluated in an industrial environment. Spatial queries on large databases are performed at interactive response times.

Currently, there are strong efforts to integrate spatial and temporal database technology into spatio-temporal database systems. This paper views the topic from a more fundamental perspective and makes several contributions. First, it reviews existing temporal and spatial data models and presents a completely new approach to temporal data modeling based on the very general notion of temporal ob...