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Web-based Interactive Visualization of Non-Lattice Subgraphs (WINS) in SNOMED CT

机译:SNOMED CT中基于Web的非格子子图(WINS)的交互式可视化

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摘要

Non-lattice subgraphs are often indicative of structural anomalies in ontological systems. Visualization of SNOMED CT’s non-lattice subgraphs can help make sense of what has been asserted in the hierarchical (“is-a”) relation. More importantly, it can demonstrate what has not been asserted, or “is-not-a,” using Closed-World Assumption for such subgraphs. A feature-rich web-based interactive graph-visualization engine called WINS is introduced, for supporting non-lattice based analysis of ontological systems such as SNOMED CT. A faceted search interface is designed for querying conjunctively specified non-lattice subgraphs. To manage the large number of possible nonlattice subgraphs, MongoDB is used for storing and processing sets of concepts, relationships, and subgraphs, as well as for query optimization. WINS’ interactive visualization interface is implemented in the open source package D3.js. 14 versions of SNOMED CT (US editions from March 2012 to September 2018), with about 170,000 subgraphs in each version, were extracted and imported into WINS. Two types of non-lattice based ontology quality assurance (OQA) tasks were highlighted to demonstrate use cases of WINS in sense-making of such non-lattice subgraphs.
机译:非晶格子图通常指示本体系统中的结构异常。可视化SNOMED CT的非晶格子图可以帮助理解层次关系(“ is-a”)中的主张。更重要的是,它可以使用此类子图的封闭世界假设来证明未断言或“不是”。引入了一个功能强大的基于Web的交互式图形可视化引擎WINS,以支持诸如SNOMED CT的本体系统的非基于格的分析。多面搜索界面旨在查询联合指定的非晶格子图。为了管理大量可能的非格子图,MongoDB用于存储和处理概念,关系和子图的集合以及查询优化。 WINS的交互式可视化界面在开源软件包D3.js中实现。提取14个版本的SNOMED CT(美国版本,2012年3月至2018年9月),每个版本中约有170,000个子图,并将其导入到WINS中。重点介绍了两种基于非格的本体质量保证(OQA)任务,以说明WINS在此类非格子图意义上的用例。

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