Literature DB >> 32477697

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

Wei Zhu1, Shiqiang Tao2, Licong Cui2, Guo-Qiang Zhang2.   

Abstract

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. ©2020 AMIA - All rights reserved.

Entities:  

Year:  2020        PMID: 32477697      PMCID: PMC7233097     

Source DB:  PubMed          Journal:  AMIA Jt Summits Transl Sci Proc


  12 in total

1.  Protégé-2000: an open-source ontology-development and knowledge-acquisition environment.

Authors:  Natalya F Noy; Monica Crubezy; Ray W Fergerson; Holger Knublauch; Samson W Tu; Jennifer Vendetti; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  The First Anniversary of the Health Information Technology for Economic and Clinical Health (HITECH) Act: the regulatory outlook for implementation.

Authors:  Melissa M Goldstein; Hyatt Thorpe Jane
Journal:  Perspect Health Inf Manag       Date:  2010-09-01

3.  A Semantic-based Approach for Exploring Consumer Health Questions Using UMLS.

Authors:  Licong Cui; Shiqiang Tao; Guo-Qiang Zhang
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Issues in the structuring and acquisition of an ontology for medical language understanding.

Authors:  P Zweigenbaum; B Bachimont; J Bouaud; J Charlet; J F Boisvieux
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

5.  Large-scale, Exhaustive Lattice-based Structural Auditing of SNOMED CT.

Authors:  Guo-Qiang Zhang; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and Its Application to SNOMED CT.

Authors:  Guo-Qiang Zhang; Wei Zhu; Mengmeng Sun; Shiqiang Tao; Olivier Bodenreider; Licong Cui
Journal:  Proc IEEE Int Conf Big Data       Date:  2014-10

7.  An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies.

Authors:  Guo-Qiang Zhang; Guangming Xing; Licong Cui
Journal:  J Biomed Inform       Date:  2018-03-13       Impact factor: 6.317

8.  Evaluation of a novel Conjunctive Exploratory Navigation Interface for consumer health information: a crowdsourced comparative study.

Authors:  Licong Cui; Rebecca Carter; Guo-Qiang Zhang
Journal:  J Med Internet Res       Date:  2014-02-10       Impact factor: 5.428

9.  Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis.

Authors:  Licong Cui; Rong Xu; Zhihui Luo; Susan Wentz; Kyle Scarberry; Guo-Qiang Zhang
Journal:  BMC Med Inform Decis Mak       Date:  2014-08-03       Impact factor: 2.796

10.  Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT.

Authors:  Licong Cui; Wei Zhu; Shiqiang Tao; James T Case; Olivier Bodenreider; Guo-Qiang Zhang
Journal:  J Am Med Inform Assoc       Date:  2017-07-01       Impact factor: 4.497

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