In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. To address such a problem, in this paper we define ST2 ODMGe, a ...
In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. In this paper we define ST2 ODMGe, a multigranular spatio-temporal ...
Temporal granularities are the unit of measure for temporal data, thus a multigranular temporal object model allows to store temporal data at different levels of detail, according to the needs of the application domain. ...
In this paper we propose a powerful ontology driven method that eases the browsing of any repository of information resources described by an ontology: we provide a flexible semantic granularity method for the navigation ...
In the recent Computer Science literature, contexts have been proposed mainly to formalize context dependent background knowledge. In this paper we discuss the importance of the application of contexts as explicit ...
In this paper we propose a methodology for mining very large spatio-temporal datasets. We propose a two-pass strategy for mining and manipulating spatio-temporal datasets at different levels of detail (i.e., granularities). ...
Multiple granularities provide an essential support for extracting significant knowledge from spatio-temporal datasets at different levels of details. They enable to zoom-in and zoom-out spatio-temporal datasets, thus ...
The capability of representing spatio-temporal objects is fundamental when analysing and monitoring the changes in the spatial configuration of a geographical area over a period of time. An important requirement when ...
Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this paper, we exploit knowledge-based methodologies and technologies to guarantee ...
Effective and efficient information management and knowledge sharing has become an essential part of more and more professional tasks in the Product Development Process. Among the varius Knowledge Management technologies, ...
The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. ...
Multiple spatial and temporal granularities are essential to extract significant knowledge from datasets at different levels of detail: they enable to zoom-in and zoom-out a dataset, enhancing the data modelling flexibility ...