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An ontological framework for the formalization, organization and usage of TCM-Knowledge

机译:中医知识的形式化,组织和使用的本体框架

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The traditional Chinese Medicine Language System (TCMLS) is a large-scale terminology system, developed from 2002 on by the Institute of Information of Traditional Chinese Medicine (IITCM). Until now, more than 120,000 concepts, 300,000 terms and 1.27 million semantic relational links are included. Its top-level framework, called TCMLS-semantic network (SN), provides an important basis for the standardization and mapping of traditional Chinese Medicine (TCM) terminology systems. Though, many data produced and stored in TCMLS have poor quality for historical reasons or because of human factors. There is a large number of classification errors or inconsistent expressions of terms remained in the current TCMLS- SN, which hamper an efficient utilization of the data stored in TCMLS in practical applications. We start with analyzing the technical specification based on TCMLS, considering some obvious classification errors and problems of ambiguity of semantic expressions in TCMLS-SN, followed with using a top-down approach for building a middle level ontology which is based on the framework General Formal Ontology (GFO), take into account the compatibility with TCM related concepts, turn out the results of a modification of the current TCMLS-SN, called GFO-TCM. Through comparison with TCMLS-SN, according to viewpoints of GFO, some semantic types and relations were reconstructed within GFO-TCM. We propose a middle level ontology for TCMLS which may support entailment and ensure coherence, we also draw out a mapping which possess a more reasonable framework with a unified semantic criterion, it is application scenarios oriented and can be further updated and extended. The goal is to construct a formal middle-level ontology that is compatible with both the traditional medical terminology system and modern medical terminology standards. it is intended to satisfy functional requirements which are relevant for natural language processing, information extraction, semantic retrieval, clinical decision support in the field of traditional Chinese medicine. It also provides a foundation and methodology for building a large-scale, unified semantic and extensible knowledge graph platform.
机译:中医语言系统(TCMLS)是由中医信息研究所(IITCM)从2002年开始开发的大规模术语系统。到现在为止,已经包含了超过120,000个概念,300,000个术语和127万个语义关系链接。它的顶级框架称为TCMLS语义网络(SN),为中药(TCM)术语系统的标准化和映射提供了重要的基础。但是,由于历史原因或人为因素,TCLMS中生成和存储的许多数据质量较差。当前的TCMLS-SN中存在大量分类错误或术语表达不一致,这妨碍了在实际应用中对存储在TCMLS中的数据的有效利用。我们首先分析基于TCMLS的技术规范,考虑到一些明显的分类错误和TCMLS-SN中语义表达的歧义问题,然后使用自顶向下的方法构建基于框架General Formal的中层本体。本体论(GFO)考虑到与TCM相关概念的兼容性,得出了对当前TCMLS-SN的修改结果,称为GFO-TCM。通过与TCMLS-SN的比较,根据GFO的观点,在GFO-TCM中重构了一些语义类型和关系。我们提出了一种TCLMS的中层本体,它可以支持需求并确保一致性,我们还绘制了一个映射,该映射具有更合理的框架和统一的语义标准,面向应用场景,可以进一步更新和扩展。目标是构建一个与传统医学术语系统和现代医学术语标准兼容的正式的中级本体。它旨在满足与中医领域中自然语言处理,信息提取,语义检索,临床决策支持相关的功能要求。它还为构建大规模,统一的语义和可扩展知识图平台提供了基础和方法。

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