Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. Such knowledge can be derived by analyzing the location data of users. Such data contain two unique dimensions, space and time, which need to be analyzed. The objectives of the thesis are three–fold. First, to extend popular data mining methods to the spatio–...

Lately a new generation of application domains is emerging. Such applications, heavily dynamic and interactive, include interactive multimedia applications, virtual reality worlds, digital movies and 3D animations. They deal with intensive spatio-temporal dependencies between the participating objects with motion becoming a central issue. Indeed in the aforementioned application domains, much o...

Spatio-temporal modelling is an area of increasing importance in which models and methods have often been developed to deal with specific applications. In this study, a spatio-temporal model was used to estimate daily rainfall data. Rainfall records from several weather stations, obtained from the Agritempo system for two climatic homogeneous zones, were used. Rainfall values obtained for two f...

We describe DISTIL (DIstributed design of SpaTIo-temporaL data), a web-based conceptual modeling prototype system that can help capture the semantics of spatio-temporal data. Via DISTIL, we describe an annotationbased approach that divides spatio-temporal conceptual design into two steps: first capture the current reality of an application using a conventional conceptual model without consideri...

While there have been decades of research on spatio-temporal reasoning (STR) logics, the obstacle preventing a complete understanding of our world is the lack of spatio-temporal structures in existing ontologies. This is particularly true for semantic web efforts: for how do we begin to create a semantic web when we cannot define the semantics of the entities with which we which we wish to popu...

In logic, the spatio-temporal location of a proposition is characterized precisely within a Cartesian system of space and time coordinates. This is suitable for characterizing the truth value of propositions relative to possible worlds, but not for modeling the spatio-temporal orientation of natural cognitive agents.1 This paper presents an alternative approach to representing space and time. W...

We define a family of qualitative spatio-temporal relations such as same-place-same-time and same-path-different-time, which describe the relative location of spatio-temporal objects within places or along paths. The relations in question are approximate, and this means that some of them are context-dependent. We explore the relationships between context, judgments that are made in certain cont...

This paper presents an integrated framework for exploratory multi-scale spatio-temporal feature extraction and clustering of spatio-temporal data. The framework combines the multi-scale spatio-temporal decomposition, feature identification, feature enhancing and clustering in a unified process. The original data are firstly reorganized as multi-signal time series, and then decomposed by the mul...

In recent years, there has been tremendous growth in the field of indoor and outdoor positioning sensors continuously producing huge volumes of trajectory data that has been used in many fields such as location-based services or location intelligence. Trajectory data is massively increased and semantically complicated, which poses a great challenge on spatio-temporal data indexing. This paper p...

The quickly increasing number of spatio-temporal applications in fields like environmental management, geology and mobile communication is a new challenge to the development of database management systems. After discussing the related work we present concepts and implementations for the modelling and persistent management of geological long-period scientific data. The spatio-temporal classes ar...