HyperImage

Picture-oriented e-science networks In scientific work based on texts there are standard techniques, which can reference between text passages, so that every member of the scientific community can follow up. Details on picture are localised conventionally so far by identifying or defining the position or identity either gestural (pointer, arrows, circles) or linguistic ( fore-, middle, background respectively left/right, up/down). Indeed in the web there is the opportunity to identify picture details with clickable maps, but this still is complex manual work. So picture references typically limit themselves to adress pictures just as ensemble. With HyperImage any detail of a picture can be tagged precisely and described as well as annotations of the corpus linked between each other and explored via indexes. Intermediate results as well as final drafts can be developed as hypermedia online- or offline publications any time. In HyperImage different individually established and proven workflows and data repositories are merged to a particular research- and publishing environment of common use. The audience of HyperImage are all humanities and sciences with picture-oriented parts. Single projects and institutions are involved as pilot users in the development and evaluation of HyperImage and its components.