Artificial Intelligence
DSS theory: a model of constructs and relationships
Decision Support Systems
Design and natural science research on information technology
Decision Support Systems - Special issue on WITS '92
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Understanding, building and using ontologies
International Journal of Human-Computer Studies
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Decision Support and Expert Systems: Management Support Systems
Decision Support and Expert Systems: Management Support Systems
Knowledge-Based Decision Support Systems: With Applications in Business
Knowledge-Based Decision Support Systems: With Applications in Business
Decision Support Systems
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Management Decision Systems: Computer-Based Support for Decision Making
Management Decision Systems: Computer-Based Support for Decision Making
Building Effective Decision Support Systems
Building Effective Decision Support Systems
Design of decision support systems
ACM SIGMIS Database - Selected papers on decision support systems from the 13th Hawaii International Conference on System Sciences
Semantic-based exchanger of electronic medical records
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
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A decision support system can be approached from two major disciplinary perspectives, those of information systems science (ISS) and artificial intelligence (AI). We present in this chapter an extended ontology for a decision support system in health informatics. The extended ontology is founded on related research in ISS and AI and on performed case studies in health informatics. The ontology explicates relevant constructs and presents a vocabulary for a decision support system, and emphasises the need to cover environmental and contextual variables as an integral part of decision support system development and evaluation methodologies. These results help the system developers to take the system's context into account through the set of defined variables that are linked to the application domain. This implies that domain and application characteristics, as well as knowledge creation and sharing aspects, are considered at every phase of development. With these extensions the focus in decision support systems development shifts from a task ontology towards a domain ontology. This extended ontology gives better support for development because from it follows that a more thorough problem analysis will be performed.