| A digital edition (DE) is an edited and compiled digital collection of data. It usually consists of a large amount of interelated heterogeneous data. A DE is very attractive because it can offer new and efficient ways to visualize, analyze, access, distribute and pre serve data. However, the process of turning a collection of raw data into an organized DE is hindered by several problems, which we address in this thesis: maintaining consistency of links/anchors, building software tools that are extensible and user-configurable, providing new tools and techniques for efficient image searching, linking corresponding text between manuscript image and transcription, and exploiting a network-enabled framework to cope with the need for a large number of “services” and extra CPU power beyond the local computing platform. We have demonstrated initial, novel solutions to these problems with an implementation over a framework that goes beyond what current and previous systems can do with respect to these problems. |
