Zobrazit v EDS

Toward a standard ontology of surgical process models

Uloženo v:
Podrobná bibliografie
Název: Toward a standard ontology of surgical process models
Autoři: Gibaud, Bernard, Forestier, Germain, Feldmann, Carolin, Ferrigno, Giancarlo, Gonçalves, Paulo, Haidegger, Tamás, Julliard, Chantal, Katić, Darko, Kenngott, Hannes, Maier-Hein, Lena, März, Keno, De Momi, Elena, Nagy, Dénes Ákos, Nakawala, Hirenkumar, Neumann, Juliane, Neumuth, Thomas, Rojas Balderrama, Javier, Speidel, Stefanie, Wagner, Martin, Jannin, Pierre
Přispěvatelé: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, German Cancer Research Center - Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Politecnico di Milano Milan (POLIMI), Instituto Politécnico de Castelo Branco, Instituto de Engenharia Mecânica Lisboa (IDMEC), Óbuda University Budapest, Conception et commande de robots pour la manipulation (DEXTER), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Karlsruhe Institute of Technology (KIT), University of Heidelberg, Medical Faculty, Innovation Center Computer Assisted Surgery (ICCAS), Universität Leipzig Leipzig, Design and Implementation of Autonomous Distributed Systems (MYRIADS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SYSTÈMES LARGE ÉCHELLE (IRISA-D1), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Université de Bretagne Sud (UBS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Université de Rennes (UNIV-RENNES)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Université de Rennes (UNIV-RENNES), National Center for Tumor Diseases Dresden (NCT), Technische Universität Dresden = Dresden University of Technology (TU Dresden)-German Cancer Research Center - Deutsches Krebsforschungszentrum Heidelberg (DKFZ)-Helmholtz-Zentrum Dresden-Rossendorf (HZDR), ANR-10-LABX-0007,COMIN Labs,Digital Communication and Information Sciences for the Future Internet(2010)
Zdroj: ISSN: 1861-6410.
Informace o vydavateli: HAL CCSD
Springer Verlag
Rok vydání: 2018
Sbírka: Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
Témata: [SDV.IB]Life Sciences [q-bio]/Bioengineering
Popis: International audience ; Purpose : The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing on individual groups and failed to achieve widespread international acceptance by the research community. To address this challenge, the authors of this paper launched a European initiative—OntoSPM Collaborative Action—with the goal of establishing a framework for joint development of ontologies in the field of SDS. This manuscript summarizes the goals and the current status of the international initiative. Methods : A workshop was organized in 2016, gathering the main European research groups having experience in developing and using ontologies in this domain. It led to the conclusion that a common ontology for surgical process models (SPM) was absolutely needed, and that the existing OntoSPM ontology could provide a good starting point toward the collaborative design and promotion of common, standard ontologies on SPM. Results : The workshop led to the OntoSPM Collaborative Action—launched in mid-2016—with the objective to develop, maintain and promote the use of common ontologies of SPM relevant to the whole domain of SDS. The fundamental concept, the architecture, the management and curation of the common ontology have been established, making it ready for wider public use. Conclusion : The OntoSPM Collaborative Action has been in operation for 24 months, with a growing dedicated membership. Its main result is a modular ontology, undergoing constant updates and extensions, based on the experts’ suggestions. It remains an open collaborative action, which always welcomes new contributors and applications.
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/30006820; hal-01862533; https://hal-univ-rennes1.archives-ouvertes.fr/hal-01862533; https://hal-univ-rennes1.archives-ouvertes.fr/hal-01862533v2/document; https://hal-univ-rennes1.archives-ouvertes.fr/hal-01862533v2/file/ijcars2018d.pdf; PUBMED: 30006820
DOI: 10.1007/s11548-018-1824-5
Dostupnost: https://hal-univ-rennes1.archives-ouvertes.fr/hal-01862533
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01862533v2/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01862533v2/file/ijcars2018d.pdf
https://doi.org/10.1007/s11548-018-1824-5
Rights: info:eu-repo/semantics/OpenAccess
Přístupové číslo: edsbas.86B0576B
Databáze: BASE
Popis
Abstrakt:International audience ; Purpose : The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing on individual groups and failed to achieve widespread international acceptance by the research community. To address this challenge, the authors of this paper launched a European initiative—OntoSPM Collaborative Action—with the goal of establishing a framework for joint development of ontologies in the field of SDS. This manuscript summarizes the goals and the current status of the international initiative. Methods : A workshop was organized in 2016, gathering the main European research groups having experience in developing and using ontologies in this domain. It led to the conclusion that a common ontology for surgical process models (SPM) was absolutely needed, and that the existing OntoSPM ontology could provide a good starting point toward the collaborative design and promotion of common, standard ontologies on SPM. Results : The workshop led to the OntoSPM Collaborative Action—launched in mid-2016—with the objective to develop, maintain and promote the use of common ontologies of SPM relevant to the whole domain of SDS. The fundamental concept, the architecture, the management and curation of the common ontology have been established, making it ready for wider public use. Conclusion : The OntoSPM Collaborative Action has been in operation for 24 months, with a growing dedicated membership. Its main result is a modular ontology, undergoing constant updates and extensions, based on the experts’ suggestions. It remains an open collaborative action, which always welcomes new contributors and applications.
DOI:10.1007/s11548-018-1824-5