Disaster prevention and management is a complicated task that often involves a tremendous volume of heterogeneous data from various resources. With its dynamic and distributed nature, service technology appears to be a good candidate for removing the communication barriers between various organizations and for facilitating the integration and sharing of distributed data. For it to succeed, however, a consensus agreement on how geospatial data is distributed and processed must be first established. In the GIS (Geographic Information System) domain, the OGC (Open Geospatial Consortium) has proposed service standards like WMS, WFS, WCS, and WPS to serve as the foundation for the distribution and processing of geospatial data in an open and int...
Abstract: We propose to use W3C Web Services and recently emerging scientific workflow technologies ...
This paper discusses the use of spatial data for risk and natural disaster management. The importanc...
Over the past ten years we have observed the development of powerful early warning and decision supp...
In this paper we study the feasibility of using services offered by a Spatial Data Infrastructure as...
In this paper we study the feasibility of using services offered by a Spatial Data Infrastructure as...
ABSTRACT: The non-interoperability of different spatial datasets hinders the integration of geoscien...
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describ...
At the global scale, high magnitude – low frequency natural disasters are a damaging phenomenon. The...
Efficient management of natural disasters impose great research challenges to the current environmen...
Recent progress on Web service technology may provide a solution to current problems in using remote...
Open standards like Open Geospatial Consortium (OGC) standards can be used to improve interoperabili...
Spatial data is an important and necessary ingredient in the disaster management cycle. The prepared...
At the global scale, high magnitude – low frequency natural disasters are a damaging phenomenon. The...
Rapidly discovering, sharing, integrating and applying geospatial information are key issues in the ...
Information systems undergo a change from isolated solutions to open in-frastructures based on Web S...
Abstract: We propose to use W3C Web Services and recently emerging scientific workflow technologies ...
This paper discusses the use of spatial data for risk and natural disaster management. The importanc...
Over the past ten years we have observed the development of powerful early warning and decision supp...
In this paper we study the feasibility of using services offered by a Spatial Data Infrastructure as...
In this paper we study the feasibility of using services offered by a Spatial Data Infrastructure as...
ABSTRACT: The non-interoperability of different spatial datasets hinders the integration of geoscien...
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describ...
At the global scale, high magnitude – low frequency natural disasters are a damaging phenomenon. The...
Efficient management of natural disasters impose great research challenges to the current environmen...
Recent progress on Web service technology may provide a solution to current problems in using remote...
Open standards like Open Geospatial Consortium (OGC) standards can be used to improve interoperabili...
Spatial data is an important and necessary ingredient in the disaster management cycle. The prepared...
At the global scale, high magnitude – low frequency natural disasters are a damaging phenomenon. The...
Rapidly discovering, sharing, integrating and applying geospatial information are key issues in the ...
Information systems undergo a change from isolated solutions to open in-frastructures based on Web S...
Abstract: We propose to use W3C Web Services and recently emerging scientific workflow technologies ...
This paper discusses the use of spatial data for risk and natural disaster management. The importanc...
Over the past ten years we have observed the development of powerful early warning and decision supp...