Add to ORKGsupport for distributed operational decision making is proposed. The conceptual framework implementing the technology consists of building an ontology-based model of the problem to be solved by the decision maker, formalization of the problem with a set of constraints, instantiation with the data values provided by environmental information sources, and interpretation it as constraint satisfaction problem. The problem is modelled by two types of contexts: abstract and operational. The integrated technology embodies advanced technologies for ontology & context management, and constraint satisfaction
The complexity of decision-making in process industries and the need of highly competitive organizat...
As the volume of data and human-centered information available to decision-makers continues to incre...
Abstract Given the complexity of Waste-Water Treatment Plants (WWTPs), both from the environmental, ...
One of the greatest benefits offered by cyberphysical systems is the potential for automated decisio...
Supporting decision making in the working environment has long being pursued by practitioners across...
In the last few years, ontologies have been successfully exploited by Decision Support Systems (DSSs...
Supporting human decision making in tasks such as disaster planning and time-sensitive targeting is ...
In this paper, an approach for the development of Interoperable Intelligent Environmental Decision ...
In the last few years, ontologies have been successfully exploited by Decision Support Systems (DSSs...
The availability of well-structured information facilitates and improves the process of decision-mak...
Nowadays Decision Support Systems deal with impressive amount of information. Current Decision Suppo...
As urban atmospheric conditions are tightly connected to citizens’ quality of life, the concept of e...
Providing services within multiagent systems, an agent has to register itself with a distinct descr...
This article discusses the development of an Intelligent Distributed Environmental Decision Support ...
Data on observed and forecasted environmental conditions, such as weather, air qualityand pollen, ar...
The complexity of decision-making in process industries and the need of highly competitive organizat...
As the volume of data and human-centered information available to decision-makers continues to incre...
Abstract Given the complexity of Waste-Water Treatment Plants (WWTPs), both from the environmental, ...
One of the greatest benefits offered by cyberphysical systems is the potential for automated decisio...
Supporting decision making in the working environment has long being pursued by practitioners across...
In the last few years, ontologies have been successfully exploited by Decision Support Systems (DSSs...
Supporting human decision making in tasks such as disaster planning and time-sensitive targeting is ...
In this paper, an approach for the development of Interoperable Intelligent Environmental Decision ...
In the last few years, ontologies have been successfully exploited by Decision Support Systems (DSSs...
The availability of well-structured information facilitates and improves the process of decision-mak...
Nowadays Decision Support Systems deal with impressive amount of information. Current Decision Suppo...
As urban atmospheric conditions are tightly connected to citizens’ quality of life, the concept of e...
Providing services within multiagent systems, an agent has to register itself with a distinct descr...
This article discusses the development of an Intelligent Distributed Environmental Decision Support ...
Data on observed and forecasted environmental conditions, such as weather, air qualityand pollen, ar...
The complexity of decision-making in process industries and the need of highly competitive organizat...
As the volume of data and human-centered information available to decision-makers continues to incre...
Abstract Given the complexity of Waste-Water Treatment Plants (WWTPs), both from the environmental, ...