The use of semantic representations in document-oriented environments – as formal annotations or embedded instances of a formal
knowledge base – is seen as an enabling technology for intelligent services which may help knowledge workers in tasks like
finding, structuring, or assessing information. Also, a high level of formalization has potential to directly support problem
solving, e.g., by the application of inferencing services. A coupling of textual and formal representations in document-centered
knowledge work raises, amongst others, two questions: i) How can the
acquisition of formal knowledge in such an environment be facilitated? ii) How can the potential
complexity of formal annotations during a document’s life and use cycle be adequately handled?
We present the Mymory workbench as an approach to investigate and tackle these challenges. Mymory is based on a semantic wiki
system and supports manual as well as automated annotations of wiki documents. These annotations can be framed by automatically
obtained models of the user’s work context, establishing situation-oriented structuring of annotations which can be exploited
in semantic search and adapted document presentation.