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 exibility of SMW technology to mix unstructured information and semantic annotations, allowing to automatically generate the nal 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 eort. Moreover, our approach is not constrained to Asbru, but CliP-MoKi can be adapted to support other modeling languages.

Collaborative Encoding of Asbru Clinical Protocols

Rospocher, Marco;Eccher, Claudio;Ghidini, Chiara;
2011-01-01

Abstract

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 exibility of SMW technology to mix unstructured information and semantic annotations, allowing to automatically generate the nal 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 eort. Moreover, our approach is not constrained to Asbru, but CliP-MoKi can be adapted to support other modeling languages.
2011
978-3-642-23634-1
978-3-642-23635-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/41987
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