Gangemi A, Pisanelli D M, Steve G
Istituto di Tecnologie Biomediche, CNR Roma, Italy.
Proc AMIA Symp. 2000:285-9.
Polysemy is a bottleneck for the demanding needs of semantic data management. We suggest the importance of a well-founded conceptual analysis for understanding some systematic structures underlying polysemy in the medical lexicon. We present some cases studies, which exploit the methods (ontological integration and general theories) and tools (description logics and ontology libraries) of the ONIONS methodology defined elsewhere by the authors. This paper addresses an aspect (systematic metomymies) of the project we are involved in, which investigates the feasibility of building a large-scale ontology library of medicine that integrates the most important medical terminology banks.
一词多义是语义数据管理苛刻需求的一个瓶颈。我们认为,进行有充分依据的概念分析对于理解医学词汇中一词多义背后的一些系统结构至关重要。我们展示了一些案例研究,这些研究运用了作者在其他地方定义的ONIONS方法的方法(本体整合和一般理论)和工具(描述逻辑和本体库)。本文探讨了我们所参与项目的一个方面(系统转喻),该项目研究构建一个整合最重要医学术语库的大规模医学本体库的可行性。