Medical Guidelines pay an important role in medical decision making systems. Medical guidelines are usually involved with event-related actions or procedure. However, little research has been done on how event-related medical guidelines can be converted into its semantic representation such as RDF/OWL data. This paper proposes an approach of automatic generation of semantic data for event-related medical guidelines. This generation is achieved by using the logic programming language Prolog with the support of medical ontologies such as SNOMED CT. We will report the experiments with the automatic generation of the semantic data for event-related Chinese medical guidelines, and show the relevant results.

In the study of clinical guidelines event, the most important is still the problem of how to convert the guidelines knowledge involving event description expressed by natural language, and generate its corresponding semantic data. For this problem, this paper uses an automated processing method based on pattern. It summarizes the pattern of each event sentence, matches and extracts the pattern using regular expressions. So events in guidelines can be automatically converted into XML structural data.