  Providing effective access paths to content is a key task in digital
libraries. Oftentimes, such access paths are realized through advanced query
languages, which, on the one hand, users may find challenging to learn or use,
and on the other, requires libraries to convert their content into a high
quality structured representation. As a remedy, narrative information access
proposes to query library content through structured patterns directly, to
ensure validity and coherence of information. However, users still find it
challenging to express their information needs in such patterns. Therefore,
this work bridges the gap by introducing a method that deduces patterns from
keyword searches. Moreover, our user studies with participants from the
biomedical domain show their acceptance of our prototypical system.
