Literature DB >> 25954395

U-path: An undirected path-based measure of semantic similarity.

Bridget T McInnes1, Ted Pedersen2, Ying Liu3, Genevieve B Melton4, Serguei V Pakhomov4.   

Abstract

In this paper, we present the results of a method using undirected paths to determine the degree of semantic similarity between two concepts in a dense taxonomy with multiple inheritance. The overall objective of this work was to explore methods that take advantage of dense multi-hierarchical taxonomies that are more graph-like than tree-like by incorporating the proximity of concepts with respect to each other within the entire is-a hierarchy. Our hypothesis is that the proximity of the concepts regardless of how they are connected is an indicator to the degree of their similarity. We evaluate our method using the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and four reference standards that have been manually tagged by human annotators. The overall results of our experiments show, in SNOMED CT, the location of the concepts with respect to each other does indicate the degree to which they are similar.

Entities:  

Mesh:

Year:  2014        PMID: 25954395      PMCID: PMC4419983     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  15 in total

1.  Aggregating UMLS semantic types for reducing conceptual complexity.

Authors:  A T McCray; A Burgun; O Bodenreider
Journal:  Stud Health Technol Inform       Date:  2001

2.  Towards the development of a conceptual distance metric for the UMLS.

Authors:  Jorge E Caviedes; James J Cimino
Journal:  J Biomed Inform       Date:  2004-04       Impact factor: 6.317

3.  A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts.

Authors:  Rimma Pivovarov; Noémie Elhadad
Journal:  J Biomed Inform       Date:  2012-01-25       Impact factor: 6.317

4.  An ontology-based measure to compute semantic similarity in biomedicine.

Authors:  Montserrat Batet; David Sánchez; Aida Valls
Journal:  J Biomed Inform       Date:  2010-09-15       Impact factor: 6.317

5.  Towards a framework for developing semantic relatedness reference standards.

Authors:  Serguei V S Pakhomov; Ted Pedersen; Bridget McInnes; Genevieve B Melton; Alexander Ruggieri; Christopher G Chute
Journal:  J Biomed Inform       Date:  2010-10-31       Impact factor: 6.317

6.  Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study.

Authors:  Serguei Pakhomov; Bridget McInnes; Terrence Adam; Ying Liu; Ted Pedersen; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  SNOMED RT: a reference terminology for health care.

Authors:  K A Spackman; K E Campbell; R A Côté
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

8.  UMLS-Interface and UMLS-Similarity : open source software for measuring paths and semantic similarity.

Authors:  Bridget T McInnes; Ted Pedersen; Serguei V S Pakhomov
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

9.  Evaluating semantic relatedness and similarity measures with Standardized MedDRA Queries.

Authors:  Robert W Bill; Ying Liu; Bridget T McInnes; Genevieve B Melton; Ted Pedersen; Serguei Pakhomov
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

10.  A literature-based assessment of concept pairs as a measure of semantic relatedness.

Authors:  T Elizabeth Workman; Graciela Rosemblat; Marcelo Fiszman; Thomas C Rindflesch
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16
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  3 in total

1.  Feature extraction for phenotyping from semantic and knowledge resources.

Authors:  Wenxin Ning; Stephanie Chan; Andrew Beam; Ming Yu; Alon Geva; Katherine Liao; Mary Mullen; Kenneth D Mandl; Isaac Kohane; Tianxi Cai; Sheng Yu
Journal:  J Biomed Inform       Date:  2019-02-07       Impact factor: 6.317

2.  Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge.

Authors:  Yaoyun Zhang; Olivia Zhang; Yonghui Wu; Hee-Jin Lee; Jun Xu; Hua Xu; Kirk Roberts
Journal:  J Biomed Inform       Date:  2017-06-15       Impact factor: 6.317

3.  HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey.

Authors:  Juan J Lastra-Díaz; Alicia Lara-Clares; Ana Garcia-Serrano
Journal:  BMC Bioinformatics       Date:  2022-01-06       Impact factor: 3.169

  3 in total

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