Collaborative Encoding of Asbru Clinical Protocols

Encoding guidelines and treatment protocols in formal and computer-executable form is not a trivial task and requires the collaboration between clinicians and knowledge engineers. In this paper, we describe CliP-MoKi, a Semantic Media Wiki (SMW)-based tool for the collaborative encoding in a distributed environment of cancer treatment protocols in Asbru. CliP-MoKi exploits the great flexibility of SMW technology to mix unstructured information and semantic annotations, allowing to automatically generate the final formal model with minimal adaptation cost. CliP-MoKi uses forms and a graphical representation of the resulting plan hierarchy to help the encoding and the representation of the model. All these features render CliP-MoKi a natural candidate for small to medium scale modeling tasks, since the use of bigger systems may require a big adaptation and training effort. Moreover, our approach is not constrained to Asbru, but CliP-MoKi can be adapted to support other modeling languages.