- During climate-related crises vast volumes of heterogeneous multimodal information are generated. - Meaningfully processing and communicating this information for efficient decision support is a key challenge. - The paper describes applying Semantic Web technologies for decision support during such crises. - We are proposing the application of these technologies in the whole "sensor to decision chain". - This approach is being tested within the beAWARE EU project, with contributions by domain experts
The shocking consequences of disasters and natural hazards have already proven the urgency and neces...
Natural disasters cannot be predicted well in advance but it is still possible to decrease the loss ...
An early warning system (EWS) is a core type of data driven Internet of Things (IoTs) system used fo...
During climate-related crises, vast volumes of heterogeneous multimodal information are generated. ...
One of the most critical challenges faced by authorities during the management of a climate-related ...
Sensing devices are increasingly being deployed to monitor the physical world around us. One class o...
- We propose a mobile application facilitating an ontology to support all participants of a climate-...
One of the most critical challenges faced by authorities during the management of a climate-related ...
This short paper presents work in progress for the semantic representation and integration of inform...
Abstract. The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able t...
This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions f...
The increasing need for interdependent infrastructure systems to withstand natural disasters has cal...
In every disaster and crisis, incident time is the enemy, and getting accurate information about the...
In every disaster and crisis, incident time is the enemy, and getting accurate information about the...
Issues around climate change are being examined globally across various disciplines and informed dec...
The shocking consequences of disasters and natural hazards have already proven the urgency and neces...
Natural disasters cannot be predicted well in advance but it is still possible to decrease the loss ...
An early warning system (EWS) is a core type of data driven Internet of Things (IoTs) system used fo...
During climate-related crises, vast volumes of heterogeneous multimodal information are generated. ...
One of the most critical challenges faced by authorities during the management of a climate-related ...
Sensing devices are increasingly being deployed to monitor the physical world around us. One class o...
- We propose a mobile application facilitating an ontology to support all participants of a climate-...
One of the most critical challenges faced by authorities during the management of a climate-related ...
This short paper presents work in progress for the semantic representation and integration of inform...
Abstract. The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able t...
This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions f...
The increasing need for interdependent infrastructure systems to withstand natural disasters has cal...
In every disaster and crisis, incident time is the enemy, and getting accurate information about the...
In every disaster and crisis, incident time is the enemy, and getting accurate information about the...
Issues around climate change are being examined globally across various disciplines and informed dec...
The shocking consequences of disasters and natural hazards have already proven the urgency and neces...
Natural disasters cannot be predicted well in advance but it is still possible to decrease the loss ...
An early warning system (EWS) is a core type of data driven Internet of Things (IoTs) system used fo...