Semantische Netze und Markierungssprachen mit Anwendungen in der klinischen Dermatologie
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Inhaltsangabe: Zusammenfassung: Im Rahmen dieser Diplomarbeit soll ein Semantisches Netz mit Hilfe einer Markierungssprache erstellt werden. Das Netz dient dem schnellen und sicheren Auffinden von gewünschtem oder geeignetem Bildmaterial und möglichst vollständigen und aktuellen Diagnoseinformationen. Den Kern des Netzes bilden Dias der Hautklinik der Universität Würzburg, die im Sentimed- Projekt (Semantic Net Toolbox for Images in Medical Education) digitalisiert wurden. Das Semantische Netz soll medizinische Informationen (z.B. Diagnose, Lokalisation, etc.) zu jedem Einzelbild enthalten und Verbindungen zu weiterem Bildmaterial aufzeigen. Die Diplomarbeit umfa t auch die Integration von zusätzlichem medizinischen Datenmaterial (z.B. "Medical Subject Headings"), um die vorhandenen Diagnosen zu verknüpfen bzw. mit weiteren Informationen (z.B. Definitionen, etc.) anzureichern. Die Navigationsoberfläche dient zum besseren Auffinden von Dias und dem leichteren Erkennen von Zusammenhängen zwischen Diagnosen bzw. Krankheitsbildern. Obwohl sich das Nutzerinteresse primär auf die Navigationsoberfläche fokussiert, ist die Wahl der Markierungssprache relevant, da diese die Geschwindigkeitsgrenzen und damit die Navigationsmöglichkeiten vorgibt. Das Sentimed- Projekt wird von der Hautklinik der Universität Würzburg und dem Lehrstuhl für Informatik II durchgeführt. Hauptziel des Projektes ist die Zusammenstellung von Werkzeugen zur Vorbereitung von Vorlesungen oder Konferenzbeiträgen. Das erstellte Semantische Netz kann zu einem Lehrwerkzeug zum Selbststudium der Dermatologie ausgebaut werden. Das Semantische Netz wurde als Datenstrukur zur Wissensrepäsentation gewählt, weil es die Möglichkeit bietet, durch textuelle Daten (z.B. Diagnosen) einen Einstiegspunkt in das Netz zu finden und die Links bis zum Bildmaterial zu verfolgen. Au erdem stellt ein Semantisches Netz als assoziativer Speicher ein geeignetes Lehrwerkzeug dar, weil die Information analog zur Speicherung im
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