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...

As efforts grow to develop spatio-temporal database systems and temporal geographic information systems that are capable of conveying how geographic phenomena change, it is important to associate the spatio-temporal process with a vivid representation. The paper propose a way for visualization base on dynamic symbol base, by which represent the spatio-temporal process in a more vivid and visual...

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...

Autoassociations of spatio-temporal sequences have been discussed by a number of authors. We propose a mechanism for storing and retrieving pairs of spatio-temporal sequences with the network architecture of the standard bidirectional associative memory (BAM), thereby achieving hetero-associations of spatio-temporal sequences.

An analytical mechanism that support localized spatio-temporal chaos is provided. We consider a simple model-the Nagumo Kuramoto model-which contains the crucial ingredients for observing localized spatio-temporal chaos, namely, the spatio-temporal chaotic pattern and its coexistence with a uniform state. This model allows us to unveil the front dynamics and to show that it can be described by ...

This paper discusses the role of granularity in judgments about spatio-temporal location and relations. It distinguishes three aspects of spatio-temporal granularity: the granularity with which location is approximated, the granularity which arises as a function of the degree to which we recognize or trace over changes of location, and granularity as it affects our apprehension of spatio-tempor...

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–...

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...

High resolution satellite image sequences are multidimensional signals composed of spatiotemporal patterns associated to numerous and various phenomena. Bayesian methods have been previously proposed in [8] to code the information contained in satellite image sequences in a graph representation using Bayesian methods. Based on such a representation, this paper further presents a supervised lear...

Evoked and coordinated brain signals often exhibit distinct, individualized spatial and temporal characteristics, such as amplitude and phase couplings across and within spatial channels. In the study of these brain potentials, it is important to characterize both the spatial and temporal morphologies of the responses for a better understanding of both the physiology and function of the brain. ...