Collaborative Encoding of Asbru Clinical Protocols
Autor: | Silvia Miksch, Marco Rospocher, Antonella Ferro, Claudio Eccher, Andreas Seyfang, Rakebul Hasan, Chiara Ghidini |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Flexibility (engineering)
Distributed Computing Environment Hierarchy Exploit Modeling language Computer science business.industry Task (project management) World Wide Web asbru Encoding (memory) clinical protocols Software engineering business Adaptation (computer science) asbru clinical protocols OWL OWL |
Zdroj: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642236341 eHealth |
Popis: | 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. |
Databáze: | OpenAIRE |
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