title: A structured visual language for a knowledge-based front-end to statistical analysis systems in biomedical research.
abstract: Within the last few years, several knowledge-based systems for statistical analysis systems have been proposed (see Refs. 1-4 for references). Most of these systems provide so-called 'natural-language' interfaces for acquisition and application of meta-data. Since graphics have been very efficient in displaying results (e.g., as scatter, QQ and residual plots), some attempts have been made (cf. Refs. 5,6) to use graphics also to display knowledge of the statistical strategy. In the present paper I will concentrate on the visualization of knowledge of the experimental design and its impacts on the design of a structured visual syntax language for acquisition and application of this knowledge in the field of biomedical research.
authors.affiliation: Department of Computer Science, University of Pittsburgh, PA.
authors.forename: K M
authors.initials: KM
authors.lastname: Wittkowski
mesh_terms: D001185:Artificial Intelligence; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D003628:Database Management Systems; D006801:Humans; D008432:Mathematical Computing; D012660:Semantics; D013813:Therapy, Computer-Assisted; D014584:User-Computer Interface