Hahn Udo
Text Knowledge Engineering Laboratory, Natural Language Processing Division, Albert-Ludwigs-Universität Freiburg, Werthmannplatz 1, Freiburg D-79085, Germany.
Comp Funct Genomics. 2003;4(1):94-7. doi: 10.1002/cfg.247.
This paper reports a large-scale knowledge conversion and curation experiment. Biomedical domain knowledge from a semantically weak and shallow terminological resource, the UMLS, is transformed into a rigorous description logics format. This way, the broad coverage of the UMLS is combined with inference mechanisms for consistency and cycle checking. They are the key to proper cleansing of the knowledge directly imported from the UMLS, as well as subsequent updating, maintenance and refinement of large knowledge repositories. The emerging biomedical knowledge base currently comprises more than 240 000 conceptual entities and hence constitutes one of the largest formal knowledge repositories ever built.
本文报告了一项大规模的知识转换与整理实验。来自语义薄弱且浅显的术语资源——统一医学语言系统(UMLS)的生物医学领域知识,被转化为一种严格的描述逻辑格式。通过这种方式,UMLS的广泛覆盖范围与用于一致性和循环检查的推理机制相结合。它们是直接从UMLS导入的知识进行适当清理以及后续大型知识库更新、维护和完善的关键。目前新兴的生物医学知识库包含超过24万个概念实体,因此构成了有史以来构建的最大的形式化知识库之一。