Abstract
The recent technological advances in geospatial data collection have created massive data sets with better spatial and temporal resolution than ever. To properly deal with these data sets, geographical information systems (GIS) must evolve to represent, access, analyze and visualize big spatiotemporal data in an efficient and integrated way. In this paper, we highlight challenges in temporal GIS development and present a proposal to overcome one of them: how to access spatiotemporal data sets from distinct kinds of data sources. Our approach uses Semantic Web techniques and is based on a data model that takes observations as basic units to represent spatiotemporal information from different application domains. We define a RDF vocabulary for describing data sources that store or provide spatiotemporal observations.
Highlights
The recent technological advances in geospatial data collection, such as Earth observation and GPS satellites, have created massive data sets with better spatial and temporal resolution than ever
We need geographical information systems (GIS) able to deal with big spatiotemporal data sets in an efficient and integrated way
Our goal is to develop a more comprehensive temporal GIS able to work with fields, trajectories as well as events
Summary
The recent technological advances in geospatial data collection, such as Earth observation and GPS satellites, have created massive data sets with better spatial and temporal resolution than ever. This scenario has motivated a challenge for Geoinformatics. Our approach uses Semantic Web techniques and is based on a data model that takes observations as basic units to represent spatiotemporal information from different application domains. RDF (Resource Description Framework) is a data model for describing and connecting resources and SPARQL is a query language for RDF data sets Both are World Wide Web Consortium (W3C) standards and are key techniques in Linked Data. The term vocabulary refers to a set of classes and properties that are defined for a certain application
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