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  1. Effects of Guideline-Based Training on the Quality of Formal Ontologies: A Randomized Controlled Trial.M. Boeker, L. Jansen, J. Röhl, N. Grewe, D. Seddig-Raufie & S. Schulz - 2013 - PLoS ONE 1.
    BACKGROUND -/- The importance of ontologies in the biomedical domain is generally recognized. However, their quality is often too poor for large-scale use in critical applications, at least partially due to insufficient training of ontology developers. -/- OBJECTIVE -/- To show the efficacy of guideline-based ontology development training on the performance of ontology developers. The hypothesis was that students who received training on top-level ontologies and design patterns perform better than those who only received training in the basic principles of (...)
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  • An Ontological Approach to Representing the Product Life Cycle.J. Neil Otte, Dimitris Kiritsi, Munira Mohd Ali, Ruoyu Yang, Binbin Zhang, Ron Rudnicki, Rahul Rai & Barry Smith - 2019 - Applied Ontology 14 (2):1-19.
    The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end of (...)
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  • ROMAIN: Towards a BFO Compliant Reference Ontology for Industrial Maintenance.Mohamed Hedi Karray, Farhad Ameri, Melinda Hodkiewicz & Thierry Louge - forthcoming - Applied Ontology:1-24.
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  • Ontohub: A Semantic Repository Engine for Heterogeneous Ontologies.Codescu Mihai, Kuksa Eugen, Kutz Oliver, Mossakowski Till & Neuhaus Fabian - 2017 - Applied Ontology 12 (3-4):275-298.
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  • Cognitive Neuroscience 2.0: Building a Cumulative Science of Human Brain Function.Tor D. Wager Tal Yarkoni, Russell A. Poldrack, David C. Van Essen - 2010 - Trends in Cognitive Sciences 14 (11):489.
  • “Just One Animal Among Many?” Existential Phenomenology, Ethics, and Stem Cell Research.Norman K. Swazo - 2010 - Theoretical Medicine and Bioethics 31 (3):197-224.
    Stem cell research and associated or derivative biotechnologies are proceeding at a pace that has left bioethics behind as a discipline that is more or less reactionary to their developments. Further, much of the available ethical deliberation remains determined by the conceptual framework of late modern metaphysics and the correlative ethical theories of utilitarianism and deontology. Lacking, to any meaningful extent, is a sustained engagement with ontological and epistemological critiques, such as with “postmodern” thinking like that of Heidegger’s existential phenomenology. (...)
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  • Bootstrapping the Applied Ontology Practice: Ontology Communities, Then and Now.Peter P. Yim - 2015 - Applied Ontology 10 (3-4):229-241.
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  • Classificatory Theory in Data-Intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.
    Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that (...)
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  • Proof Verification and Proof Discovery for Relativity.Naveen Sundar Govindarajalulu, Selmer Bringsjord & Joshua Taylor - 2015 - Synthese 192 (7):2077-2094.
    The vision of machines autonomously carrying out substantive conjecture generation, theorem discovery, proof discovery, and proof verification in mathematics and the natural sciences has a long history that reaches back before the development of automatic systems designed for such processes. While there has been considerable progress in proof verification in the formal sciences, for instance the Mizar project’ and the four-color theorem, now machine verified, there has been scant such work carried out in the realm of the natural sciences—until recently. (...)
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  • Cognitive Neuroscience 2.0: Building a Cumulative Science of Human Brain Function.Tal Yarkoni, Russell A. Poldrack, David C. Van Essen & Tor D. Wager - 2010 - Trends in Cognitive Sciences 14 (11):489-496.
  • An Ontological Analysis of Drug Prescriptions.Jean-François Ethier, Adrien Barton & Ryeyan Taseen - forthcoming - Applied Ontology:1-21.
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  • An Empirically-Based Framework for Ontology Modularisation.Zubeida Casmod Khan & C. Maria Keet - 2015 - Applied Ontology 10 (3-4):171-195.
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  • Foundations of an Ontology of Philosophy.Pierre Grenon & Barry Smith - 2011 - Synthese 182 (2):185-204.
    We describe an ontology of philosophy that is designed to aid navigation through philosophical literature, including literature in the form of encyclopedia articles and textbooks and in both printed and digital forms. The ontology is designed also to serve integration and structuring of data pertaining to the philosophical literature, and in the long term also to support reasoning about the provenance and contents of such literature, by providing a representation of the philosophical domain that is oriented around what philosophical literature (...)
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