Literature DB >> 19248842

Content-specific auditing of a large scale anatomy ontology.

Ira J Kalet1, Jose L V Mejino, Vania Wang, Mark Whipple, James F Brinkley.   

Abstract

Biomedical ontologies are envisioned to be usable in a range of research and clinical applications. The requirements for such uses include formal consistency, adequacy of coverage, and possibly other domain specific constraints. In this report we describe a case study that illustrates how application specific requirements may be used to identify modeling problems as well as data entry errors in ontology building and evolution. We have begun a project to use the UW Foundational Model of Anatomy (FMA) in a clinical application in radiation therapy planning. This application focuses mainly (but not exclusively) on the representation of the lymphatic system in the FMA, in order to predict the spread of tumor cells to regional metastatic sites. This application requires that the downstream relations associated with lymphatic system components must only be to other lymphatic chains or vessels, must be at the appropriate level of granularity, and that every path through the lymphatic system must terminate at one of the two well known trunks of the lymphatic system. It is possible through a programmable query interface to the FMA to write small programs that systematically audit the FMA for compliance with these constraints. We report on the design of some of these programs, and the results we obtained by applying them to the lymphatic system. The algorithms and approach are generalizable to other network organ systems in the FMA such as arteries and veins. In addition to illustrating exact constraint checking methods, this work illustrates how the details of an application may reflect back a requirement to revise the design of the ontology itself.

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Year:  2009        PMID: 19248842      PMCID: PMC2761215          DOI: 10.1016/j.jbi.2009.02.006

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  17 in total

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2.  A rule-based model for local and regional tumor spread.

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

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4.  Standardizing neck dissection terminology. Official report of the Academy's Committee for Head and Neck Surgery and Oncology.

Authors:  K T Robbins; J E Medina; G T Wolfe; P A Levine; R B Sessions; C W Pruet
Journal:  Arch Otolaryngol Head Neck Surg       Date:  1991-06

5.  Regular paths in SparQL: querying the NCI Thesaurus.

Authors:  Landon T Detwiler; Dan Suciu; James F Brinkley
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

6.  The digital anatomist foundational model: principles for defining and structuring its concept domain.

Authors:  C Rosse; L G Shapiro; J F Brinkley
Journal:  Proc AMIA Symp       Date:  1998

7.  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

8.  An imaging-based classification for the cervical nodes designed as an adjunct to recent clinically based nodal classifications.

Authors:  P M Som; H D Curtin; A A Mancuso
Journal:  Arch Otolaryngol Head Neck Surg       Date:  1999-04

9.  A Markov model approach to predicting regional tumor spread in the lymphatic system of the head and neck.

Authors:  Noah Benson; Mark Whipple; Ira J Kalet
Journal:  AMIA Annu Symp Proc       Date:  2006

10.  NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time.

Authors:  S F Galán; F Aguado; F J Díez; J Mira
Journal:  Artif Intell Med       Date:  2002-07       Impact factor: 5.326

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  4 in total

1.  Development and evaluation of an ontology for guiding appropriate antibiotic prescribing.

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Journal:  J Biomed Inform       Date:  2011-10-11       Impact factor: 6.317

2.  The use of semantic distance metrics to support ontology audit.

Authors:  Jian Wang; Roger Day; Shyam Visweswaran; William Hogan
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

3.  An analysis of multi-type relational interactions in FMA using graph motifs with disjointness constraints.

Authors:  Guo-Qiang Zhang; Lingyun Luo; Chime Ogbuji; Cliff Joslyn; Jose Mejino; Satya S Sahoo
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

4.  Biological Model Development as an Opportunity to Provide Content Auditing for the Foundational Model of Anatomy Ontology.

Authors:  Lucy L Wang; Eli Grunblatt; Hyunggu Jung; Ira J Kalet; Mark E Whipple
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05
  4 in total

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