Hahn Udo, Romacker Martin, Schulz Stefan
Text Knowledge Engineering Lab, Freiburg University, D-79098 Freiburg, Germany.
Pac Symp Biocomput. 2002:338-49.
MEDSYNDIKATE is a natural language processor for automatically acquiring knowledge from medical finding reports. The content of these documents is transferred to formal representation structures which constitute a corresponding text knowledge base. The system architecture integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. The strong demands MEDSYNDIKATE poses to the availability of expressive knowledge sources are accounted for by two alternative approaches to (semi)automatic ontology engineering. We also present data for the knowledge extraction performance of MEDSYNDIKATE for three major syntactic patterns in medical documents.
MEDSYNDIKATE是一个用于从医学检查报告中自动获取知识的自然语言处理器。这些文档的内容被转换为构成相应文本知识库的形式化表示结构。该系统架构整合了单句分析的要求以及形成连贯文本的指代链接句子的要求。MEDSYNDIKATE对表达性知识源可用性提出的强烈要求通过两种（半）自动本体工程的替代方法得以满足。我们还展示了MEDSYNDIKATE在医学文档中三种主要句法模式的知识提取性能数据。
