Literature DB >> 15360855

Comparing associative relationships among equivalent concepts across ontologies.

Songmao Zhang1, Olivier Bodenreider.   

Abstract

Methods for comparing associative relationships across ontologies often rely solely on lexical similarity between the names of the relationships, which may lead to missed matches and inaccurate matches. In this paper, we propose a novel method based on the analysis of paths between equivalent concepts across ontologies. Patterns of relationships are identified for each associative relationship. The most frequent patterns indicate a correspondence between an associative relationship in one ontology and one relationship (or combination thereof) in the other. We applied this method to two ontologies of anatomy. Our method was able to identify the correspondence between relationships even in the absence of lexical similarity between relationship names. The various types of matches identified are discussed as well as the application of this method to detecting inconsistencies across the ontologies.

Mesh:

Year:  2004        PMID: 15360855      PMCID: PMC4299595     

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

1.  GALEN's model of parts and wholes: experience and comparisons.

Authors:  J Rogers; A Rector
Journal:  Proc AMIA Symp       Date:  2000

2.  Bidirectional mereological reasoning in anatomical knowledge bases.

Authors:  S Schulz
Journal:  Proc AMIA Symp       Date:  2001

3.  A reference ontology for biomedical informatics: the Foundational Model of Anatomy.

Authors:  Cornelius Rosse; José L V Mejino
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

4.  Aligning representations of anatomy using lexical and structural methods.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2003

5.  Motivation and organizational principles for anatomical knowledge representation: the digital anatomist symbolic knowledge base.

Authors:  C Rosse; J L Mejino; B R Modayur; R Jakobovits; K P Hinshaw; J F Brinkley
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

6.  The GRAIL concept modelling language for medical terminology.

Authors:  A L Rector; S Bechhofer; C A Goble; I Horrocks; W A Nowlan; W D Solomon
Journal:  Artif Intell Med       Date:  1997-02       Impact factor: 5.326

  6 in total
  5 in total

1.  Comparing two approaches for aligning representations of anatomy.

Authors:  Songmao Zhang; Peter Mork; Olivier Bodenreider; Philip A Bernstein
Journal:  Artif Intell Med       Date:  2007-01-23       Impact factor: 5.326

2.  Mining cross-terminology links in the UMLS.

Authors:  Chintan O Patel; James J Cimino
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Using semantic and structural properties of the Unified Medical Language System to discover potential terminological relationships.

Authors:  Chintan O Patel; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

4.  Experience in Aligning Anatomical Ontologies.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  Int J Semant Web Inf Syst       Date:  2007       Impact factor: 0.843

5.  Integration of the Gene Ontology into an object-oriented architecture.

Authors:  Daniel Shegogue; W Jim Zheng
Journal:  BMC Bioinformatics       Date:  2005-05-10       Impact factor: 3.169

  5 in total

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