Knowledge Representation and Reasoning for Complex Time Expression in Clinical Text  

作　　者：Danyang Hu Meng Wang Feng Gao Fangfang Xu Jinguang Gu 

机构地区：[1]School of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430065,China [2]Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing Content,National Press and Publication Administration of the People’s Republic of China,Beijing 10038,China [3]Institute of Big Data Science and Engineering,Wuhan University of Science and Technology,Wuhan 430065,China

出　　处：《Data Intelligence》2022年第3期573-598,共26页数据智能（英文）

基　　金：supported by the National Natural Science Foundation of China(No.U1836118);the Open Fund of Key Laboratory of Content Organization and Knowledge Services for Rich Media Digital Publishing(ZD2021-11/01);the Natural Science Foundation of Hubei Province educational Committee(B2019009)

摘　　要：Temporal information is pervasive and crucial in medical records and other clinical text,as it formulates the development process of medical conditions and is vital for clinical decision making.However,providing a holistic knowledge representation and reasoning framework for various time expressions in the clinical text is challenging.In order to capture complex temporal semantics in clinical text,we propose a novel Clinical Time Ontology(CTO)as an extension from OWL framework.More specifically,we identified eight timerelated problems in clinical text and created 11 core temporal classes to conceptualize the fuzzy time,cyclic time,irregular time,negations and other complex aspects of clinical time.Then,we extended Allen’s and TEO’s temporal relations and defined the relation concept description between complex and simple time.Simultaneously,we provided a formulaic and graphical presentation of complex time and complex time relationships.We carried out empirical study on the expressiveness and usability of CTO using real-world healthcare datasets.Finally,experiment results demonstrate that CTO could faithfully represent and reason over 93%of the temporal expressions,and it can cover a wider range of time-related classes in clinical domain.

关 键 词：Clinical text Temporal ontology Temporal relations OWL Negation of temporal relation 

分 类 号：R-05[医药卫生] TP391.1[自动化与计算机技术—计算机应用技术]