Data transformations from CMS to CDP enriched by semantics

Karlsruhe University of Applied Sciences, Faculty of Information Management and Media, 76133 Karlsruhe, Germany

^* Christina Salwitzek: sach1023@hs-karlsruhe.de
^** Christina Steuer: stch1033@hs-karlsruhe.de

Abstract

Today’s users no longer expect a classic manual, but short, clearly structured pieces of information that fit their application context, use case and role. Instead of conventional documentation, “intelligent information” is required that is modular, format-neutral and can be found via metadata and full-text search. The information is often created in a CMS and provided via CDPs. There are not always compatible interfaces between these systems, especially those of different software manufacturers. Therefore, the information created cannot be processed further. The purpose of this paper is to show that data transformations can provide accessibility for the information from a CMS for different CDPs. On this basis, data transformations were developed, enriched by semantics and implemented within the project. For the enrichment by semantics, metadata were used as well as a further approach based on metadata, called “microDocs”. This approach describes the combination and aggregation of different topic-based information that are connected by defined use cases and a logical context. Some CDP manufacturers already support microDocs and it is expected that even more extensions will be implemented in the future. Accordingly, it is highly likely that microDocs will play an important role in the field of information delivery.