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Subject-Oriented Work: Lessons Learned from an Interdisciplinary Content Management Project
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Subject-Oriented Work: Lessons Learned from an Interdisciplinary Content Management Project
Joachim W. Schmidt6 , Hans-Werner Sehring6 , Michael Skusa6 and Axel Wienberg6 
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Software Systems Institute, Technical University TUHH Hamburg, Harburger Schloβstraβe 20, D-21073 Hamburg, Germany |
Abstract
The two broad cases, data- and content-based applications, differ substantially in the fact that data case applications are
abstracted first before they cross any system boundary while for content cases it is the system itself which has to map application
content into some data-based technology. Through application analysis and software design we are aware of the difficulties
of such mappings. In an interdisciplinary project with our Art History colleagues who are working in the subject area of “Political
Iconography” we are gaining substantial insight into their Subject-Oriented Working (SOWing) needs and into initial requirements for a SOWing environment. In this paper we outline the project, its basic models,
their generalization as well as our initial experiences with prototypical SOWing implementations. We emphasizes the conceptual
and terminological aspects of our approach, sketch some of the technical requirements of a generic SOWing software platform
and relate our work to various XML-based activities.
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