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  1. Realism, Common Sense, and Science.Mario De Caro - 2015 - The Monist 98 (2):197-214.
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  • Realism and Reference Ontologies: Considerations, Reflections, and Problems.Gary H. Merrill - 2010 - Applied ontology 5 (3-4):189-221.
    In “Ontological realism: Methodology or misdirection?” I offered a detailed critique of the position referred to as “realism” taken by Barry Smith and Werner Ceusters. This position is claimed to serve as the basis for a “realist methodology” that they seek to impose on the development of scientific ontologies, particularly within the biomedical sciences. Here, in part responding to a reply to those criticisms by Smith and Ceusters, I return the focus to an examination of fundamental incoherencies in this realist (...)
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  • Interdisciplinary Perspectives on the Development, Integration and Application of Cognitive Ontologies.Janna Hastings, Gwen Alexandra Frishkoff, Barry Smith, Mark Jensen, Russell Poldrack, Jessica Turner, Jane Lomax, Anita Bandrowski, Fahim Imam, Jessica A. Turner & Maryann E. Martone - 2014 - Frontiers in Neuroinformatics 8 (62):1-7.
    We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and recommend one that is consistent with the standard view in cognitive and biomedical sciences. Challenge 2 is harmonization. Gaps and conflicts in representation must be resolved so that these resources can be combined for mark-up and interpretation of multi-modal data. Finally, Challenge (...)
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  • Minimal Aristotelian Ontology.Luc Schneider - 2017 - Cosmos + Taxis 4 (4):27-37.
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  • Interdyscyplinarne Perspektywy Rozwoju, Integracji I Zastosowań Ontologii Poznawczych.Joanna Hastings, Gwen A. Frishkoff, Barry Smith, Mark Jensen, Russell A. Poldrack, Jane Lomax, Anita Bandrowski, Fahim Imam, Jessica A. Turner & Maryann E. Martone - 2016 - Avant: Trends in Interdisciplinary Studies 7 (3):101-117.
    We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and recommend one that is consistent with the standard view in cognitive and biomedical sciences. Challenge 2 is harmonization. Gaps and conflicts in representation must be resolved so that these resources can be combined for mark-up and interpretation of multi-modal data. Finally, Challenge (...)
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  • The Neurological Disease Ontology.Mark Jensen, Alexander P. Cox, Naveed Chaudhry, Marcus Ng, Donat Sule, William Duncan, Patrick Ray, Bianca Weinstock-Guttman, Barry Smith, Alan Ruttenberg, Kinga Szigeti & Alexander D. Diehl - 2013 - Journal of Biomedical Semantics 4 (42):42.
    We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (OGMS) (...)
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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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  • Analytic Metaphysics Versus Naturalized Metaphysics: The Relevance of Applied Ontology.Baptiste Le Bihan & Adrien Barton - 2021 - Erkenntnis 86 (1):21-37.
    The relevance of analytic metaphysics has come under criticism: Ladyman & Ross, for instance, have suggested do discontinue the field. French & McKenzie have argued in defense of analytic metaphysics that it develops tools that could turn out to be useful for philosophy of physics. In this article, we show first that this heuristic defense of metaphysics can be extended to the scientific field of applied ontology, which uses constructs from analytic metaphysics. Second, we elaborate on a parallel by French (...)
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  • Are Bio-Ontologies Metaphysical Theories?Oliver M. Lean - 2021 - Synthese 199 (3-4):11587-11608.
    Bio-ontologies are digital frameworks for handling biological and biomedical data. They consist of theoretical entities and relations with explicitly defined logical structures and precise definitions, whose purpose is to provide a shared language for representing information to be distributed and integrated across diverse scientific contexts. It is tempting to view bio-ontologies as clear and formal expressions of a scientific community’s ontological commitments about their domain of inquiry, and to view their integration as tantamount to the metaphysical unification of science that (...)
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  • Biomedical Ontologies.Barry Smith - forthcoming - In Peter Elkin (ed.), Terminology, Ontology and their Implementations. Springer Nature Switzerland AG.
    We begin at the beginning, with an outline of Aristotle’s views on ontology and with a discussion of the influence of these views on Linnaeus. We move from there to consider the data standardization initiatives launched in the 19th century, and then turn to investigate how the idea of computational ontologies developed in the AI and knowledge representation communities in the closing decades of the 20th century. We show how aspects of this idea, particularly those relating to the use of (...)
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  • Bridging Mainstream and Formal Ontology: A Causality-Based Upper Ontology in Dietrich of Freiberg.Luis M. Augusto - 2021 - Journal of Knowledge Structures and Systems 2 (2):35.
    Ontologies are some of the most central constructs in today's large plethora of knowledge technologies, namely in the context of the semantic web. As their coinage indicates, they are direct heirs to the ontological investigations in the long Western philosophical tradition, but it is not easy to make bridges between them. Contemporary ontological commitments often take causality as a central aspect for the ur-segregation of entities, especially in scientific upper ontologies; theories of causality and philosophical ontological investigations often go hand-in-hand, (...)
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  • Coordinating Dissent as an Alternative to Consensus Classification: Insights From Systematics for Bio-Ontologies.Beckett Sterner, Joeri Witteveen & Nico Franz - 2020 - History and Philosophy of the Life Sciences 42 (1):1-25.
    The collection and classification of data into meaningful categories is a key step in the process of knowledge making. In the life sciences, the design of data discovery and integration tools has relied on the premise that a formal classificatory system for expressing a body of data should be grounded in consensus definitions for classifications. On this approach, exemplified by the realist program of the Open Biomedical Ontologies Foundry, progress is maximized by grounding the representation and aggregation of data on (...)
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  • Ontology, Ontologies, and Science.Gary H. Merrill - 2011 - Topoi (1):71-83.
    Philosophers frequently struggle with the relation of metaphysics to the everyday world, with its practical value, and with its relation to empirical science. This paper distinguishes several different models of the relation between philosophical ontology and applied (scientific) ontology that have been advanced in the history of philosopy. Adoption of a strong participation model for the philosophical ontologist in science is urged, and requirements and consequences of the participation model are explored. This approach provides both a principled view and justification (...)
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  • Foundations for a Realist Ontology of Mental Disease.Werner Ceusters & Barry Smith - 2010 - Journal of Biomedical Semantics 1 (10):1-23.
    While classifications of mental disorders have existed for over one hundred years, it still remains unspecified what terms such as 'mental disorder', 'disease' and 'illness' might actually denote. While ontologies have been called in aid to address this shortfall since the GALEN project of the early 1990s, most attempts thus far have sought to provide a formal description of the structure of some pre-existing terminology or classification, rather than of the corresponding structures and processes on the side of the patient. (...)
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  • Barry Smith an Sich.Gerald J. Erion & Gloria Zúñiga Y. Postigo (eds.) - 2017 - Cosmos + Taxis.
    Festschrift in Honor of Barry Smith on the occasion of his 65th Birthday. Published as issue 4:4 of the journal Cosmos + Taxis: Studies in Emergent Order and Organization. Includes contributions by Wolfgang Grassl, Nicola Guarino, John T. Kearns, Rudolf Lüthe, Luc Schneider, Peter Simons, Wojciech Żełaniec, and Jan Woleński.
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  • Une Ontologie Dispositionnelle du Risque.Olivier Grenier & Adrien Barton - 2021 - Lato Sensu: Revue de la Société de Philosophie des Sciences 8 (2):58-69.
    Risk is an ubiquitous entity in the biomedical domain. Thus, a coherent ontological characterization of risk, which can be used by informatical tools named "applied ontologies", is necessary to help with the exchange and the collection of data for clinical and research uses. We analyze some definitions of risk and draw two general characteristics that risks and dispositions share. We thus suggest that a risk is a disposition which has an undesirable realization for an agent. This definition conciliates the objective (...)
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  • Classificatory Theory in Biology.Sabina Leonelli - 2013 - Biological Theory 7 (4):338-345.
    Scientific classification has long been recognized as involving a specific style of reasoning and doing research, and as occasionally affecting the development of scientific theories. However, the role played by classificatory activities in generating theories has not been closely investigated within the philosophy of science. I argue that classificatory systems can themselves become a form of theory, which I call classificatory theory, when they come to formalize and express the scientific significance of the elements being classified. This is particularly evident (...)
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  • Ontology: A Bridge Between Bioethics and Data-Driven Inquiry.David Gordon Limbaugh, Peter Maloy Koch & Eric C. Merrell - 2021 - American Journal of Bioethics 21 (6):51-53.
    Pavarini et al. argue for the potential benefits of using games and other technologies to collect empirical data to enhance bioethics research. They propose a methodology called “design bioe...
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  • Human Action in the Healthcare Domain: A Critical Analysis of HL7’s Reference Information Model.Barry Smith, Lowell Vizenor & Werner Ceusters - 2013 - In Johanssonian Investigations. Essays in Honour of Ingvar Johansson on His Seventieth Birthday. Ontos Verlag. pp. 554--573.
    If we are to develop efficient, reliable and secure means for sharing information across healthcare systems and organizations, then a careful analysis of human actions will be needed. To address this need, the HL7 organization has proposed its Reference Information Model (RIM), which is designed to provide a comprehensive representation of the entire domain of healthcare centered around the phenomenon of human action. Taking the Basic Formal Ontology as our starting point, we examine the RIM from an ontological point of (...)
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  • Command and Control Ontology.Andreas Tolk & Barry Smith - 2011 - In International Journal of Intelligent Defence Support Systems (Special Issue).
    Intelligent defence support systems are confronted with the need to manage ever-increasing floods of data in a way that raises significant challenges because the data are described and presented using different terminologies and formats. How, on this basis, is it possible to reach a common understanding of the information content of these data among people and software agents? How is it possible to ensure that domain knowledge is reused in consistent fashion in a way that makes this information available for (...)
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  • Ontology and Cognitive Outcomes.David Limbaugh, Jobst Landgrebe, David Kasmier, Ronald Rudnicki, James Llinas & Barry Smith - 2020 - Journal of Knowledge Structures and Systems 1 (1): 3-22.
    The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...)
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  • Social Ontology and Social Normativity.Brian Donohue - 2020 - Dissertation, University at Buffalo
    Many recent accounts of the ontology of groups, institutions, and practices have touched upon the normative or deontic dimensions of social reality (e.g., social obligations, claims, permissions, prohibitions, authority, and immunity), as distinct from any specifically moral values or obligations. For the most part, however, the ontology of such socio-deontic phenomena has not received the attention it deserves. In what sense might a social obligation or a claim exist? What is the ontological status of such an obligation (e.g., is it (...)
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  • Mapping the Patient’s Experience: An Applied Ontological Framework for Phenomenological Psychopathology.Rasmus Rosenberg Larsen & Janna Hastings - 2020 - Phenomenology and Mind 18:200-219.
    Mental health research faces a suite of unresolved challenges that have contributed to a stagnation of research efforts and treatment innovation. One such challenge is how to reliably and validly account for the subjective side of patient symptomatology, that is, the patient’s inner experiences or patient phenomenology. Providing a structured, standardised semantics for patient phenomenology would enable future research in novel directions. In this contribution, we aim at initiating a standardized approach to patient phenomenology by sketching a tentative formalisation within (...)
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  • Peer Review Report: Ontologies Relevant to Behaviour Change Interventions, Version 1.Robert M. Kelly, David Limbaugh & Barry Smith - 2020 - Human Behaviour Change Project.
    In “Ontologies Relevant to behaviour change interventions: A Method for their Development” Wright, et al. outline a step by step process for building ontologies of behaviour modification – what the authors call the Refined Ontology Developmental Method (RODM) – and demonstrate its use in the development of the Behaviour Change Intervention Ontology (BCIO). RODM is based on the principles of good ontology building used by the Open Biomedical Ontology (OBO) Foundry in addition to those outlined in (Arp, Smith, and Spear (...)
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  • Roles and Their Three Facets: A Foundational Perspective.Fumiaki Toyoshima - 2021 - Applied ontology 16 (2):161-192.
    Roles remain nebulous entities, notwithstanding their extensive interdisciplinary research. This paper argues through a meta-ontological conceptual tool of grounding that there are three key facets of roles: a role position, a role specification, and a role potential. A foundational perspective on roles can be specified by “role choices” as to which facet of roles is primary. Role choices are illustrated with theories of roles that are built in compliance with four well-known upper ontologies: GFO, DOLCE, BFO, and UFO. The relationship (...)
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  • A Metaontology for Applied Ontology.Pawel Garbacz & Robert Trypuz - 2013 - Applied ontology 8 (1):1-30.
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  • The Emotion Ontology: Enabling Interdisciplinary Research in the Affective Sciences.Janna Hastings, Werner Ceusters, Barry Smith & Kevin Mulligan - 2011 - In M. Beigl, H. Christiansen, T. Roth-Berghofer, A. Kofod-Petersen, K. R. Coventry & H. R. Schmidtke (eds.), CONTEXT, The Seventh International and Interdisciplinary Conference on Modeling and Using Context. Springer. pp. 119--123.
    Affective science conducts interdisciplinary research into the emotions and other affective phenomena. Currently, such research is hampered by the lack of common definitions of terms used to describe, categorise and report both individual emotional experiences and the results of scientific investigations of such experiences. High quality ontologies provide formal definitions for types of entities in reality and for the relationships between such entities, definitions which can be used to disambiguate and unify data across different disciplines. Heretofore, there has been little (...)
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  • Integration of Intelligence Data Through Semantic Enhancement.David Salmen, Tatiana Malyuta, Alan Hansen, Shaun Cronen & Barry Smith - 2011 - In Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS). CEUR, Vol. 808.
    We describe a strategy for integration of data that is based on the idea of semantic enhancement. The strategy promises a number of benefits: it can be applied incrementally; it creates minimal barriers to the incorporation of new data into the semantically enhanced system; it preserves the existing data (including any existing data-semantics) in their original form (thus all provenance information is retained, and no heavy preprocessing is required); and it embraces the full spectrum of data sources, types, models, and (...)
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  • How Fit is OWL to Represent Realist Ontologies? The Semantics of Representational Units in Realist Ontologies and the Web Ontology Language.D. Kless & L. Jansen - 2013 - In M. Horbach (ed.), Informatik 2013. Informatik angepasst an Mensch, Organisation und Umwelt. pp. 1851-1865.
    Ontological realism is a philosophical stance that provides a definitional framework for ontologies and is referred to by various applied ontologists. From a computer science perspective, ontologies are often associated with formal languages for the representation of ontologies like the Web Ontology Language (OWL). It has, however, not been made explicit how the realist framework is related to the representation formalism. We analyse how the representational units of OWL can be used for modelling realist ontologies. While OWL is sufficiently close (...)
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  • Dealing with Elements of Medical Encounters: An Approach Based on Ontological Realism.Farinelli Fernanda, Almeida Mauricio, Elkin Peter & Barry Smith - 2016 - Proceedings of the Joint International Conference on Biological Ontology and Biocreative 1747.
    Electronic health records (EHRs) serve as repositories of documented data collected in a health care encounter. An EHR records information about who receives, who provides the health care and about the place where the encounter happens. We also observe additional elements relating to social relations in which the healthcare consumer is involved. To provide a consensus representation of common data and to enhance interoperability between different EHR repositories we have created a solution grounded in formal ontology. Here, we present how (...)
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  • OntONeo: The Obstetric and Neonatal Ontology.Fernanda Farinelli, Mauricio Almeida, Peter Elkin & Barry Smith - 2016 - In Dealing with elements of medical encounters: An approach based on ontological realism. Aachen: CEUR, vol. 1747.
    This paper presents the Obstetric and Neonatal Ontology (OntONeo). This ontology has been created to provide a consensus representation of salient electronic health record (EHR) data and to serve interoperability of the associated data and information systems. More generally, it will serve interoperability of clinical and translational data, for example deriving from genomics disciplines and from clinical trials. Interoperability of EHR data is important to ensuring continuity of care during the prenatal and postnatal periods for both mother and child. As (...)
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  • The Deep Structure of Lives.Michael Kubovy - 2015 - Philosophia Scientiae 19:153-176.
    La psychologie a toujours traité le comportement et l’expérience comme étant enchâssés dans un flux temporel unidimensionnel, « le courant du comportement » dans lequel les événements et les actions occupent des intervalles de temps qui ne se chevauchent pas. Pourtant, une analyse phénoménologique révèle que la structure de nos vies est bien plus riche et intéressante. En utilisant la notion de « quasidécomposabilité » de Herbert Simon, je décris cette structure comme un assemblage d’épisodes quasi-indépendants se réalisant de façon (...)
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  • Annotating Affective Neuroscience Data with the Emotion Ontology.Janna Hastings, Werner Ceusters, Kevin Mulligan & Barry Smith - 2012 - In Third International Conference on Biomedical Ontology. ICBO. pp. 1-5.
    The Emotion Ontology is an ontology covering all aspects of emotional and affective mental functioning. It is being developed following the principles of the OBO Foundry and Ontological Realism. This means that in compiling the ontology, we emphasize the importance of the nature of the entities in reality that the ontology is describing. One of the ways in which realism-based ontologies are being successfully used within biomedical science is in the annotation of scientific research results in publicly available databases. Such (...)
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  • From Affective Science to Psychiatric Disorder: Ontology as Semantic Bridge.Rasmus Rosenberg Larsen & Janna Hastings - 2018 - Frontiers in Psychiatry 9 (487):1-13.
    Advances in emotion and affective science have yet to translate routinely into psychiatric research and practice. This is unfortunate since emotion and affect are fundamental components of many psychiatric conditions. Rectifying this lack of interdisciplinary integration could thus be a potential avenue for improving psychiatric diagnosis and treatment. In this contribution, we propose and discuss an ontological framework for explicitly capturing the complex interrelations between affective entities and psychiatric disorders, in order to facilitate mapping and integration between affective science and (...)
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  • BFO and DOLCE: So Far, So Close….Nicola Guarino - 2017 - Cosmos + Taxis 4 (4):10-18.
    A survey of the similarities and differences between BFO and DOLCE, and of the mutual interactions between Nicola Guarino and Barry Smith.
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  • Is There Beauty in Ontologies?Mathieu D'Aquin & Aldo Gangemi - 2011 - Applied Ontology 6 (3):165-175.
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  • Diverse Perspectives on Ontology: A Joint Report on the First IAOA Interdisciplinary Summer School on Ontological Analysis.Emilio Sanfilippo, Emanuele Ratti, Francesca Quattri, Aleksandra Sojic, Federico Boem, Gaoussou Camara & Eric Chuk - 2013 - Applied Ontology 8 (1):59-71.
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  • Relationships and Relata in Ontologies and Thesauri: Differences and Similarities.Daniel Kless, Simon Milton & Edmund Kazmierczak - 2012 - Applied Ontology 7 (4):401-428.
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  • Natural Necessity: An Introductory Guide for Ontologists.Fumiaki Toyoshima - forthcoming - Applied Ontology:1-29.
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  • Horizontal Integration of Warfighter Intelligence Data: A Shared Semantic Resource for the Intelligence Community.Barry Smith, Tatiana Malyuta, William S. Mandrick, Chia Fu, Kesny Parent & Milan Patel - 2012 - In Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS), CEUR. pp. 1-8.
    We describe a strategy that is being used for the horizontal integration of warfighter intelligence data within the framework of the US Army’s Distributed Common Ground System Standard Cloud (DSC) initiative. The strategy rests on the development of a set of ontologies that are being incrementally applied to bring about what we call the ‘semantic enhancement’ of data models used within each intelligence discipline. We show how the strategy can help to overcome familiar tendencies to stovepiping of intelligence data, and (...)
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  • IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain.Barry Smith, Tatiana Malyuta, Ron Rudnicki, William Mandrick, David Salmen, Peter Morosoff, Danielle K. Duff, James Schoening & Kesny Parent - 2013 - In Proceedings of the Eighth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS), CEUR, vol. 1097. pp. 33-40.
    We describe on-going work on IAO-Intel, an information artifact ontology developed as part of a suite of ontologies designed to support the needs of the US Army intelligence community within the framework of the Distributed Common Ground System (DCGS-A). IAO-Intel provides a controlled, structured vocabulary for the consistent formulation of metadata about documents, images, emails and other carriers of information. It will provide a resource for uniform explication of the terms used in multiple existing military dictionaries, thesauri and metadata registries, (...)
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  • OAE: The Ontology of Adverse Events.Yongqun He, Sirarat Sarntivijai, Yu Lin, Zuoshuang Xiang, Abra Guo, Shelley Zhang, Desikan Jagannathan, Luca Toldo, Cui Tao & Barry Smith - 2014 - Journal of Biomedical Semantics 5 (29):1-13.
    A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data (...)
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  • Ontologies as Integrative Tools for Plant Science.Ramona Walls, Balaji Athreya, Laurel Cooper, Justin Elser, Maria A. Gandolfo, Pankaj Jaiswal, Christopher J. Mungall, Justin Preece, Stefan Rensing, Barry Smith & Dennis W. Stevenson - 2012 - American Journal of Botany 99 (8):1263–1275.
    Bio-ontologies are essential tools for accessing and analyzing the rapidly growing pool of plant genomic and phenomic data. Ontologies provide structured vocabularies to support consistent aggregation of data and a semantic framework for automated analyses and reasoning. They are a key component of the Semantic Web. This paper provides background on what bio-ontologies are, why they are relevant to botany, and the principles of ontology development. It includes an overview of ontologies and related resources that are relevant to plant science, (...)
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  • A Method for Re-Engineering a Thesaurus Into an Ontology.D. Kless, L. Jansen, J. Lindenthal & J. Wiebensohn - 2012 - In Maureen Donnelly & Giancarlo Guizzardi (eds.), Formal Ontology and Information Systems. IOS. pp. 133-146.
    The construction of complex ontologies can be facilitated by adapting existing vocabularies. There is little clarity and in fact little consensus as to what modifications of vocabularies are necessary in order to re-engineer them into ontologies. In this paper we present a method that provides clear steps to follow when re-engineering a thesaurus. The method makes use of top-level ontologies and was derived from the structural differences between thesauri and ontologies as well as from best practices in modeling, some of (...)
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  • Vital Sign Ontology.Albert Goldfain, Barry Smith, Sivaram Arabandi, Mathias Brochhausen & William R. Hogan - 2011 - In Proceedings of the Workshop on Bio-Ontologies, ISMB, Vienna, June 2011. Vienna: pp. 71-74.
    We introduce the Vital Sign Ontology (VSO), an extension of the Ontology for General Medical Science (OGMS) that covers the consensus human vital signs: blood pressure, body temperature, respiratory rate, and pulse rate. VSO provides a controlled structured vocabulary for describing vital sign measurement data, the processes of measuring vital signs, and the anatomical entities participating in such measurements. VSO is implemented in OWL-DL and follows OBO Foundry guidelines and best practices. If properly developed and extended, we believe the VSO (...)
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  • Proposed Actions Are No Actions: Re-Modelling an Ontology Design Pattern with a Realist Top-Level Ontology.D. Seddig-Raufie, L. Jansen, S. Schulz, D. Schober & M. Boeker - 2012 - Journal of Biomedical Semantics 3 (2).
    Background -/- Ontology Design Patterns (ODPs) are representational artifacts devised to offer solutions for recurring ontology design problems. They promise to enhance the ontology building process in terms of flexibility, re-usability and expansion, and to make the result of ontology engineering more predictable. In this paper, we analyze ODP repositories and investigate their relation with upper-level ontologies. In particular, we compare the BioTop upper ontology to the Action ODP from the NeOn an ODP repository. In view of the differences in (...)
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  • ROMAIN: Towards a BFO Compliant Reference Ontology for Industrial Maintenance.Mohamed Hedi Karray, Farhad Ameri, Melinda Hodkiewicz & Thierry Louge - 2019 - Applied Ontology 14 (2):155-177.
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