Literature DB >> 23273493

The Foundational Model of Anatomy in OWL 2 and its use.

Christine Golbreich1, Julien Grosjean, Stefan Jacques Darmoni.   

Abstract

OBJECTIVE: The objective is to represent the Foundational Model of Anatomy (FMA) in the OWL 2 Web Ontology Language (informally OWL 2), and to use it in a European cross-lingual portal of health terminologies for indexing and searching Web resources. Formalizing the FMA in OWL 2 is essential for semantic interoperability, to improve its design, and to ensure its reliability and correctness, which is particularly important for medical applications. METHOD AND MATERIAL: The native FMA was implemented in frames and stored in a MySQL database backend. The main strength of the method is to leverage OWL 2 expressiveness and to rely on the naming conventions of the FMA, to make explicit some implicit semantics, while improving its ontological model and fixing some errors. Doing so, the semantics (meaning) of the formal definitions and axioms are anatomically correct. A flexible tool enables the generation of a new version in OWL 2 at each Protégé FMA update. While it creates by default a 'standard' version of the FMA in OWL 2 (FMA-OWL), many options allow for producing other variants customized to users' applications. Once formalized in OWL 2, it was possible to use an inference engine to check the ontology and detect inconsistencies. Next, the FMA-OWL was used to derive a lightweight FMA terminology for a European cross-lingual portal of terminologies/ontologies for indexing and searching resources. The transformation is mainly based on a reification process. RESULT: Complete representations of the entire FMA in OWL 1 or OWL 2 are now available. The formalization tool is flexible and easy to use, making it possible to obtain an OWL 2 version for all existing public FMA. A number of errors were detected in the native FMA and several patterns of recurrent errors were identified in the original FMA. This shows how the underlying OWL 2 ontology is essential to ensure that the lightweight derived terminology is reliable. The FMA OWL 2 ontology has been applied to derive an anatomy terminology that is used in a European cross-lingual portal of health terminologies. This portal is daily used by librarians to index Web health resources. In August 2011, 6481 out of 81,450 health resources of CISMeF catalog (http://www.chu-rouen.fr/cismef/--accessed 29.08.12) (7.96%) were indexed with at least one FMA entity.
CONCLUSION: The FMA is a central terminology used to index and search Web resources. To the best of our knowledge, neither a complete representation of the entire FMA in OWL 2, nor an anatomy terminology available in a cross-lingual portal, has been developed to date. The method designed to represent the FMA ontology in OWL 2 presented in this article is general and may be extended to other ontologies. Using a formal ontology for quality assurance and deriving a lightweight terminology for biomedical applications is a general and promising strategy.
Copyright © 2012 Elsevier B.V. All rights reserved.

Mesh:

Year:  2012        PMID: 23273493     DOI: 10.1016/j.artmed.2012.11.002

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  11 in total

1.  OntoVIP: an ontology for the annotation of object models used for medical image simulation.

Authors:  Bernard Gibaud; Germain Forestier; Hugues Benoit-Cattin; Frédéric Cervenansky; Patrick Clarysse; Denis Friboulet; Alban Gaignard; Patrick Hugonnard; Carole Lartizien; Hervé Liebgott; Johan Montagnat; Joachim Tabary; Tristan Glatard
Journal:  J Biomed Inform       Date:  2014-07-16       Impact factor: 6.317

2.  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

Review 3.  Anatomical structures, cell types and biomarkers of the Human Reference Atlas.

Authors:  Katy Börner; Sarah A Teichmann; Ellen M Quardokus; James C Gee; Kristen Browne; David Osumi-Sutherland; Bruce W Herr; Andreas Bueckle; Hrishikesh Paul; Muzlifah Haniffa; Laura Jardine; Amy Bernard; Song-Lin Ding; Jeremy A Miller; Shin Lin; Marc K Halushka; Avinash Boppana; Teri A Longacre; John Hickey; Yiing Lin; M Todd Valerius; Yongqun He; Gloria Pryhuber; Xin Sun; Marda Jorgensen; Andrea J Radtke; Clive Wasserfall; Fiona Ginty; Jonhan Ho; Joel Sunshine; Rebecca T Beuschel; Maigan Brusko; Sujin Lee; Rajeev Malhotra; Sanjay Jain; Griffin Weber
Journal:  Nat Cell Biol       Date:  2021-11-08       Impact factor: 28.824

4.  Semantic Web repositories for genomics data using the eXframe platform.

Authors:  Emily Merrill; Stéphane Corlosquet; Paolo Ciccarese; Tim Clark; Sudeshna Das
Journal:  J Biomed Semantics       Date:  2014-06-03

5.  Terminology development towards harmonizing multiple clinical neuroimaging research repositories.

Authors:  Jessica A Turner; Danielle Pasquerello; Matthew D Turner; David B Keator; Kathryn Alpert; Margaret King; Drew Landis; Vince D Calhoun; Steven G Potkin; Marcelo Tallis; Jose Luis Ambite; Lei Wang
Journal:  Data Integr Life Sci       Date:  2015-07-08

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.  A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies.

Authors:  David Anton; Idoia Berges; Jesús Bermúdez; Alfredo Goñi; Arantza Illarramendi
Journal:  Sensors (Basel)       Date:  2018-05-08       Impact factor: 3.576

8.  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

9.  TrhOnt: building an ontology to assist rehabilitation processes.

Authors:  Idoia Berges; David Antón; Jesús Bermúdez; Alfredo Goñi; Arantza Illarramendi
Journal:  J Biomed Semantics       Date:  2016-10-04

10.  MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses.

Authors:  Sebastien A Choteau; Audrey Wagner; Philippe Pierre; Lionel Spinelli; Christine Brun
Journal:  Database (Oxford)       Date:  2021-06-22       Impact factor: 3.451

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.