G-CSF-elicited, crossmatched granulocyte concentrates are a safe and efficient therapeutic addendum in immunocompromised children with prolonged neutropenia and severe infections. Early transfusion of granulocyte concentrates can lead to an overall response rate of 92.6 percent without adverse events. Randomized clinical trials with an early-onset design are required to determine appropriate clinical applications.
Abstract. Ontologies constitute formal models of some aspect of the world that may be used for drawing interesting logical conclusions even for large models. Software models capture relevant characteristics of a software artifact to be developed, yet, most often these software models have no formal semantics, or the underlying (often graphical) software language varies from case to case in a way that makes it hard if not impossible to fix its semantics. In this contribution, we survey the use of ontology technologies for software modeling in order to carry over advantages from ontology technologies to the software modeling domain. It will turn out that ontology-based metamodels constitute a core means for exploiting expressive ontology reasoning in the software modeling domain while remaining flexible enough to accommodate varying needs of software modelers.
Domain-specific languages (DSLs) provide abstractions and notations for better understanding and easier modeling of applications in a special domain. Current shortcomings of DSLs include learning curve and formal semantics. This paper reports on a framework that allows the use of ontology technologies to describe and reason on DSLs. The formal semantics of OWL together with reasoning services allows for addressing constraint definition, progressive evaluation, suggestions, and debugging. The approach integrates existing metamodels and concrete syntaxes in a new technical space. A scenario in which domain models for network devices are created illustrates the framework.
Abstract. Domain-specific languages (DSLs) are high-level and should provide abstractions and notations for better understanding and easier modeling of applications of a special domain. Current shortcomings of DSLs include learning curve and formal semantics. This paper reports on a novel approach that allows the use of ontologies to describe DSLs. The formal semantics of OWL together with reasoning services allows for addressing constraint definition, progressive evaluation, suggestions, and debugging. The approach integrates existing metamodels, concrete syntaxes and a query language. A scenario in which domain models for network devices are created illustrates the development environment.
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