Literature DB >> 18688289

Translating the Foundational Model of Anatomy into OWL.

Natalya F Noy, Daniel L Rubin.   

Abstract

The Foundational Model of Anatomy (FMA) represents the result of manual and disciplined modeling of the structural organization of the human body. It is a tremendous resource in bioinformatics that facilitates sharing of information among applications that use anatomy knowledge. The FMA was developed in Protégé and the Protégé frames language is the canonical representation language for the FMA. We present a translation of the original Protégé frame representation of the FMA into OWL. Our effort is complementary to the earlier efforts to represent FMA in OWL and is focused on two main goals: (1) representing only the information that is explicitly present in the frames representation of the FMA or that can be directly inferred from the semantics of Protégé frames; (2) representing all the information that is present in the frames representation of the FMA, thus producing an OWL representation for the complete FMA. Our complete representation of the FMA in OWL consists of two components: an OWL DL component that contains the FMA constructs that are compatible with OWL DL; and an OWL Full component that imports the OWL DL component and adds the FMA constructs that OWL DL does not allow.

Entities:  

Year:  2008        PMID: 18688289      PMCID: PMC2500209          DOI: 10.1016/j.websem.2007.12.001

Source DB:  PubMed          Journal:  Web Semant        ISSN: 1570-8268            Impact factor:   1.897


  4 in total

1.  Challenges in converting frame-based ontology into OWL: the Foundational Model of Anatomy case-study.

Authors:  Olivier Dameron; Daniel L Rubin; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2005

2.  Use of description logic classification to reason about consequences of penetrating injuries.

Authors:  Daniel L Rubin; Olivier Dameron; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  Experience in reasoning with the foundational model of anatomy in OWL DL.

Authors:  Songmao Zhang; Olivier Bodenreider; Christine Golbreich
Journal:  Pac Symp Biocomput       Date:  2006

4.  The foundational model of anatomy in OWL: Experience and perspectives.

Authors:  Christine Golbreich; Songmao Zhang; Olivier Bodenreider
Journal:  Web Semant       Date:  2006       Impact factor: 1.897

  4 in total
  7 in total

1.  Representing the NCI Thesaurus in OWL DL: Modeling tools help modeling languages.

Authors:  Natalya F Noy; Sherri de Coronado; Harold Solbrig; Gilberto Fragoso; Frank W Hartel; Mark A Musen
Journal:  Appl Ontol       Date:  2008-01-01       Impact factor: 1.115

2.  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

3.  From frames to OWL2: Converting the Foundational Model of Anatomy.

Authors:  Landon T Detwiler; Jose L V Mejino; James F Brinkley
Journal:  Artif Intell Med       Date:  2016-04-27       Impact factor: 5.326

4.  vSPARQL: a view definition language for the semantic web.

Authors:  Marianne Shaw; Landon T Detwiler; Natalya Noy; James Brinkley; Dan Suciu
Journal:  J Biomed Inform       Date:  2010-08-25       Impact factor: 6.317

5.  Application of neuroanatomical ontologies for neuroimaging data annotation.

Authors:  Jessica A Turner; Jose L V Mejino; James F Brinkley; Landon T Detwiler; Hyo Jong Lee; Maryann E Martone; Daniel L Rubin
Journal:  Front Neuroinform       Date:  2010-06-10       Impact factor: 4.081

6.  Neuroanatomical domain of the foundational model of anatomy ontology.

Authors:  B Nolan Nichols; Jose Lv Mejino; Landon T Detwiler; Trond T Nilsen; Maryann E Martone; Jessica A Turner; Daniel L Rubin; James F Brinkley
Journal:  J Biomed Semantics       Date:  2014-01-08

7.  Ontology-based approach for in vivo human connectomics: the medial Brodmann area 6 case study.

Authors:  Tristan Moreau; Bernard Gibaud
Journal:  Front Neuroinform       Date:  2015-04-10       Impact factor: 4.081

  7 in total

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