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Vor dem Hintergrund einer neuen linguistischen Betrachtungsweise, die wissenschaftliche Präsentationen als eine eigenständige, komplexe, multimodale Textsorte auffasst, wird in diesem Beitrag zunächst der Aspekt der Multimodalität von Präsentationen fokussiert. Die analytische Beschäftigung mit wissenschaftlichen Präsentationen wird dann um erste Ergebnisse unserer Rezeptionsexperimente ergänzt, in denen unter anderem Erhebungen zur Wissensvermittlung unterschiedlicher wissenschaftlicher Präsentationen durchgeführt wurden.
In this paper, we present the Multiple Annotation approach, which solves two problems: the problem of annotating overlapping structures, and the problem that occurs when documents should be annotated according to different, possibly heterogeneous tag sets. This approach has many advantages: it is based on XML, the modeling of alternative annotations is possible, each level can be viewed separately, and new levels can be added at any time. The files can be regarded as an interrelated unit, with the text serving as the implicit link. Two representations of the information contained in the multiple files (one in Prolog and one in XML) are described. These representations serve as a base for several applications.
In this feasibility study we aim at contributing at the practical use of domain ontologies for hypertext classification by introducing an algorithm generating potential keywords. The algorithm uses structural markup information and lemmatized word lists as well as a domain ontology on linguistics. We present the calculation and ranking of keyword candidates based on ontology relationships, word position, frequency information, and statistical significance as evidenced by log-likelihood tests. Finally, the results of our machine-driven classification are validated empirically against manually assigned keywords.