Spatial and Temporal Semantic Web

Linked Open Spatial and Temporal Data should not be LOST Data

More and more applications access and/or publish data on the Web involving spatial, temporal, and thematic information. One of the challenges of the upcoming applications is the ability to integrate data of various origins and different formats to allow scientists to answer complex questions that cannot be answered from within a single domain, but span across multiple disciplines… Efforts have already been made by the geomatics community; particularly through the standardization of web services by the OGC (WMS, WFS, WPS…), but there are still issues with integrating data at the Web scale. Semantic Web technologies for describing, publishing and exploiting knowledge can be of prime interest to meet this challenge. It is in this direction that we want to push part of the research activity of the STeamer group, with a particular focus on Linked (Open) Data (LOD) and its use in Spatial Data Infrastructures. The orientation of this research encompasses: how semantic technologies and ontologies can foster data integration and interoperability when spatial and temporal concepts are involved – how semantic technologies can assist researchers by matching data to models and by translating between different conceptual schemas – and lastly, how semantics-enabled user interfaces can support scientists in exploring interdisciplinary datasets by browsing through interlinked data and provide richer information through the discovery and exploitation of new connections between various resources. To conduct this research, we are working on establishing collaborations in the domain of Environmental Sciences: the first, aims to supervise impacts of climate changes and the other, to manage licensing and allocation of water and natural resource in arctic and subarctic regions.