Results for 'Web Ontology Language (OWL)'

10 found
Order:
  1. BFO-based ontology enhancement to promote interoperability in BIM.Justine Flore Tchouanguem, Mohamed Hedi Karray, Bernard Kamsu Foguem, Camille Magniont, F. Henry Abanda & Barry Smith - 2021 - Applied ontology 16 (4):1–27.
    Building Information Modelling (BIM) is a process for managing construction project information in such a way as to provide a basis for enhanced decision-making and for collaboration in a construction supply chain. One impediment to the uptake of BIM is the limited interoperability of different BIM systems. To overcome this problem, a set of Industry Foundation Classes (IFC) has been proposed as a standard for the construction industry. Building on IFC, the ifcOWL ontology was developed in order to facilitate (...)
    Download  
     
    Export citation  
     
    Bookmark  
  2. Building Ontologies with Basic Formal Ontology.Robert Arp, Barry Smith & Andrew D. Spear - 2015 - Cambridge, MA: MIT Press.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that (...)
    Download  
     
    Export citation  
     
    Bookmark   73 citations  
  3. Bioportal: Ontologies and integrated data resources at the click of the mouse.L. Whetzel Patricia, H. Shah Nigam, F. Noy Natalya, Dai Benjamin, Dorf Michael, Griffith Nicholas, Jonquet Clement, Youn Cherie, Callendar Chris, Coulet Adrien, Barry Smith, Chris Chute & Mark Musen - 2011 - In Whetzel Patricia L., Shah Nigam H., Noy Natalya F., Benjamin Dai, Michael Dorf, Nicholas Griffith, Clement Jonquet, Cherie Youn, Chris Callendar, Adrien Coulet, Smith Barry, Chute Chris & Musen Mark (eds.), Proceedings of the 2nd International Conference on Biomedical Ontology, Buffalo, NY. pp. 292-293.
    BioPortal is a Web portal that provides access to a library of biomedical ontologies and terminologies developed in OWL, RDF(S), OBO format, Protégé frames, and Rich Release Format. BioPortal functionality, driven by a service-oriented architecture, includes the ability to browse, search and visualize ontologies (Figure 1). The Web interface also facilitates community-based participation in the evaluation and evolution of ontology content.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  4. SNOMED CT standard ontology based on the ontology for general medical science.Shaker El-Sappagh, Francesco Franda, Ali Farman & Kyung-Sup Kwak - 2018 - BMC Medical Informatics and Decision Making 76 (18):1-19.
    Background: Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is acomprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic healthdata. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but theseefforts have been hampered by the size and complexity of SCT. Method: Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the termsin SCT in a (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  5. Ontologies, Disorders and Prototypes.Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo - 2016 - In Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo (eds.), Proceedings of IACAP 2016.
    As it emerged from philosophical analyses and cognitive research, most concepts exhibit typicality effects, and resist to the efforts of defining them in terms of necessary and sufficient conditions. This holds also in the case of many medical concepts. This is a problem for the design of computer science ontologies, since knowledge representation formalisms commonly adopted in this field (such as, in the first place, the Web Ontology Language - OWL) do not allow for the representation of concepts (...)
    Download  
     
    Export citation  
     
    Bookmark  
  6. VO: Vaccine Ontology.Yongqun He, Lindsay Cowell, Alexander D. Diehl, H. L. Mobley, Bjoern Peters, Alan Ruttenberg, Richard H. Scheuermann, Ryan R. Brinkman, Melanie Courtot, Chris Mungall, Barry Smith & Others - 2009 - In Barry Smith (ed.), ICBO 2009: Proceedings of the First International Conference on Biomedical Ontology. Buffalo: NCOR.
    Vaccine research, as well as the development, testing, clinical trials, and commercial uses of vaccines involve complex processes with various biological data that include gene and protein expression, analysis of molecular and cellular interactions, study of tissue and whole body responses, and extensive epidemiological modeling. Although many data resources are available to meet different aspects of vaccine needs, it remains a challenge how we are to standardize vaccine annotation, integrate data about varied vaccine types and resources, and support advanced vaccine (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  7. The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Lin Yu, Alfred Hero, Barry Smith & Yongqun He - 2016 - Journal of Biomedical Semantics 7 (53).
    Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8. 基于基本形式化本体的本体构建.Robert Arp, Barry Smith & Andrew D. Spear - 2020 - Beijing: People's Medical Publishing House.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that (...)
    Download  
     
    Export citation  
     
    Bookmark  
  9. Types and taxonomic structures in conceptual modeling: A novel ontological theory and engineering support.Giancarlo Guizzardi, Tiago Prince Sales, Claudenir M. Fonseca & Daniele Porello - 2021 - Data and Knowledge Engineering 1 (134):101891.
    Types are fundamental for conceptual modeling and knowledge representation, being an essential construct in all major modeling languages in these fields. Despite that, from an ontological and cognitive point of view, there has been a lack of theoretical support for precisely defining a consensual view on types. As a consequence, there has been a lack of precise methodological support for users when choosing the best way to model general terms representing types that appear in a domain, and for building sound (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  10. Vantagens e limitações das ontologias formais na área biomédica.Stefan Schulz, Holger Stenzhorn, Martin Boeker & Barry Smith - 2009 - RECIIS: Revista Electronica de Comunicacao Informacao, Inovacao Em Saude 3 (1).
    Propomos uma tipologia dos artefatos de representação para as áreas de saúde e ciências biológicas, e a associação dessa tipologia com diferentes tipos de ontologia formal e lógica, chegando a conclusões quanto aos pontos fortes e limitações da ontologia de diferentes tipos de recursos lógicos, enquanto mantemos o foco na lógica descritiva. Consideramos quatro tipos de representação de área: (i) representação léxico-semântica, (ii) representação de tipos de entidades, (iii) representação de conhecimento prévio, e (iv) representação de indivíduos. Defendemos uma clara (...)
    Download  
     
    Export citation  
     
    Bookmark