Results for 'Barry R. Schaller'

969 found
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  1. OBCS: The Ontology of Biological and Clinical Statistics.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Yu Lin, Alfred Hero, Barry Smith & Yongqun He - 2014 - Proceedings of the Fifth International Conference on Biomedical Ontology 1327:65.
    Statistics play a critical role in biological and clinical research. To promote logically consistent representation and classification of statistical entities, we have developed the Ontology of Biological and Clinical Statistics (OBCS). OBCS extends the Ontology of Biomedical Investigations (OBI), an OBO Foundry ontology supported by some 20 communities. Currently, OBCS contains 686 terms, including 381 classes imported from OBI and 147 classes specific to OBCS. The goal of this paper is to present OBCS for community critique and to describe a (...)
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  2. Interoperability of disparate engineering domain ontologies using Basic Formal Ontology.Thomas J. Hagedorn, Barry Smith, Sundar Krishnamurty & Ian R. Grosse - 2019 - Journal of Engineering Design 31.
    As engineering applications require management of ever larger volumes of data, ontologies offer the potential to capture, manage, and augment data with the capability for automated reasoning and semantic querying. Unfortunately, considerable barriers hinder wider deployment of ontologies in engineering. Key among these is lack of a shared top-level ontology to unify and organise disparate aspects of the field and coordinate co-development of orthogonal ontologies. As a result, many engineering ontologies are limited to their scope, and functionally difficult to extend (...)
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  3. Ontology of language, with applications to demographic data.S. Clint Dowland, Barry Smith, Matthew A. Diller, Jobst Landgrebe & William R. Hogan - 2023 - Applied ontology 18 (3):239-262.
    Here we present what we believe is a novel account of what languages are, along with an axiomatically rich representation of languages and language-related data that is based on this account. We propose an account of languages as aggregates of dispositions distributed across aggregates of persons, and in doing so we address linguistic competences and the processes that realize them. This paves the way for representing additional types of language-related entities. Like demographic data of other sorts, data about languages may (...)
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  4. Philosophie und biomedizinische Forschung.Barry Smith & Bert R. E. Klagges - 2005 - Allgemeine Zeitschrift für Philosophie 30 (1):5–26.
    Die bahnbrechenden wissenschaftlichen Ergebnisse der letzten Jahre erzwingen eine neue philosophische Auseinandersetzung mit den Grundkategorien der Biologie und der benachbarten Disziplinen. Insbesondere die Anwendung neuer informationstechnischer Mittel in der biomedizinischen Forschung und die damit verbundene, kontinuierlich zunehmende Datenflut sowie die Notwendigkeit, ihrer Herr zu werden, erfordern ein konsequentes Nachdenken darüber, wie biologische Daten systematisiert und klassifiziert werden können. Dafür wiederum bedarf es robuster Theorien von Grundbegriffen wie Art, Spezies, Teil, Ganzes, Funktion, Prozess, Fragment, Sequenz, Expression, Grenze, Locus, Umwelt, System usw. (...)
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  5. 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 data (...)
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  6. Finding Our Way through Phenotypes.Andrew R. Deans, Suzanna E. Lewis, Eva Huala, Salvatore S. Anzaldo, Michael Ashburner, James P. Balhoff, David C. Blackburn, Judith A. Blake, J. Gordon Burleigh, Bruno Chanet, Laurel D. Cooper, Mélanie Courtot, Sándor Csösz, Hong Cui, Barry Smith & Others - 2015 - PLoS Biol 13 (1):e1002033.
    Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that (...)
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  7. Conceptual Space Modeling for Space Event Characterization.Jeremy R. Chapman, David Kasmier, David Limbaugh, Stephen R. Gagnon, John L. Crassidis, James Llinas, Barry Smith & Alexander P. Cox - 2020 - IEEE 23rd International Conference on Information Fusion (FUSION).
    This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data is (...)
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  8. Vital Sign Ontology.Albert Goldfain, Barry Smith, Sivaram Arabandi, Mathias Brochhausen & William R. Hogan - 2011 - In Goldfain Albert, Smith Barry, Arabandi Sivaram, Brochhausen Mathias & Hogan William R. (eds.), Proceedings of the Workshop on Bio-Ontologies, ISMB, Vienna, June 2011. 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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  9. Novel sequence feature variant type analysis of the HLA genetic association in systemic sclerosis.R. Karp David, Marthandan Nishanth, G. E. Marsh Steven, Ahn Chul, C. Arnett Frank, S. DeLuca David, D. Diehl Alexander, Dunivin Raymond, Eilbeck Karen, Feolo Michael & Barry Smith - 2009 - Human Molecular Genetics 19 (4):707-719.
    Significant associations have been found between specific human leukocyte antigen (HLA) alleles and organ transplant rejection, autoimmune disease development, and the response to infection. Traditional searches for disease associations have conventionally measured risk associated with the presence of individual HLA alleles. However, given the high level of HLA polymorphism, the pattern of amino acid variability, and the fact that most of the HLA variation occurs at functionally important sites, it may be that a combination of variable amino acid sites shared (...)
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  10. Conceptual Spaces for Space Event Characterization via Hard and Soft Data Fusion.Jeremy R. Chapman, David Kasmier, David Limbaugh, Stephen R. Gagnon, John Crassidis, James Llinas, Barry Smith & Alexander P. Cox - 2021 - AIAA (American Institute of Aeronautics and Astronautics) Scitech 2021 Forum.
    The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this data (...)
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  11. Implementing Dempster-Shafer Theory for property similarity in Conceptual Spaces modeling.Jeremy R. Chapman, John L. Crassidis, James Llinas, Barry Smith & David Kasmier - 2022 - Sensor Systems and Information Systems IV, American Institute of Aeronautics and Astronautics (AIAA) SCITECH Forum 2022.
    Previous work has shown that the Complex Conceptual Spaces − Single Observation Mathematical framework is a useful tool for event characterization. This mathematical framework is developed on the basis of Conceptual Spaces and uses integer linear programming to find the needed similarity values. The work of this paper is focused primarily on space event characterization. In particular, the focus is on the ranking of threats for malicious space events such as a kinetic kill. To make the Conceptual Spaces framework work, (...)
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  12. Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project.Chris F. Taylor, Dawn Field, Susanna-Assunta Sansone, Jan Aerts, Rolf Apweiler, Michael Ashburner, Catherine A. Ball, Pierre-Alain Binz, Molly Bogue, Tim Booth, Alvis Brazma, Ryan R. Brinkman, Adam Michael Clark, Eric W. Deutsch, Oliver Fiehn, Jennifer Fostel, Peter Ghazal, Frank Gibson, Tanya Gray, Graeme Grimes, John M. Hancock, Nigel W. Hardy, Henning Hermjakob, Randall K. Julian, Matthew Kane, Carsten Kettner, Christopher Kinsinger, Eugene Kolker, Martin Kuiper, Nicolas Le Novere, Jim Leebens-Mack, Suzanna E. Lewis, Phillip Lord, Ann-Marie Mallon, Nishanth Marthandan, Hiroshi Masuya, Ruth McNally, Alexander Mehrle, Norman Morrison, Sandra Orchard, John Quackenbush, James M. Reecy, Donald G. Robertson, Philippe Rocca-Serra, Henry Rodriguez, Heiko Rosenfelder, Javier Santoyo-Lopez, Richard H. Scheuermann, Daniel Schober, Barry Smith & Jason Snape - 2008 - Nature Biotechnology 26 (8):889-896.
    Throughout the biological and biomedical sciences there is a growing need for, prescriptive ‘minimum information’ (MI) checklists specifying the key information to include when reporting experimental results are beginning to find favor with experimentalists, analysts, publishers and funders alike. Such checklists aim to ensure that methods, data, analyses and results are described to a level sufficient to support the unambiguous interpretation, sophisticated search, reanalysis and experimental corroboration and reuse of data sets, facilitating the extraction of maximum value from data sets (...)
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  13. 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 (...)
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  14. Protein Ontology: A controlled structured network of protein entities.A. Natale Darren, N. Arighi Cecilia, A. Blake Judith, J. Bult Carol, R. Christie Karen, Cowart Julie, D’Eustachio Peter, D. Diehl Alexander, J. Drabkin Harold, Helfer Olivia, Barry Smith & Others - 2013 - Nucleic Acids Research 42 (1):D415-21..
    The Protein Ontology (PRO; http://proconsortium.org) formally defines protein entities and explicitly represents their major forms and interrelations. Protein entities represented in PRO corresponding to single amino acid chains are categorized by level of specificity into family, gene, sequence and modification metaclasses, and there is a separate metaclass for protein complexes. All metaclasses also have organism-specific derivatives. PRO complements established sequence databases such as UniProtKB, and interoperates with other biomedical and biological ontologies such as the Gene Ontology (GO). PRO relates to (...)
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  15. Discussion of “Biomedical informatics: We are what we publish”.Geissbuhler Antoine, W. E. Hammond, A. Hasman, R. Hussein, R. Koppel, C. A. Kulikowski, V. Maojo, F. Martin-Sanchez, P. W. Moorman, Moura La, F. G. De Quiros, M. J. Schuemle, Barry Smith & J. Talmon - 2013 - Methods of Information in Medicine 52 (6):547-562.
    This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper "Biomedical Informatics: We Are What We Publish", written by Peter L. Elkin, Steven H. Brown, and Graham Wright. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the Elkin et al. paper. In subsequent issues the discussion can continue through letters to the editor.
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  16. Improving the Quality and Utility of Electronic Health Record Data through Ontologies.Asiyah Yu Lin, Sivaram Arabandi, Thomas Beale, William Duncan, Hicks D., Hogan Amanda, R. William, Mark Jensen, Ross Koppel, Catalina Martínez-Costa, Øystein Nytrø, Jihad S. Obeid, Jose Parente de Oliveira, Alan Ruttenberg, Selja Seppälä, Barry Smith, Dagobert Soergel, Jie Zheng & Stefan Schulz - 2023 - Standards 3 (3):316–340.
    The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...)
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  17. Un'aporia nella costruzione della realtà sociale: Naturalismo e realismo in John R. Searle.Barry Smith - 2003 - In Paolo Di Lucia (ed.), Ontologia Sociale. Quodlibet. pp. 137-152.
    We provide an overview of Searle's contributions to speech act theory and the ontology of social reality, focusing on his theory of constitutive rules. In early versions of this theory, Searle proposed that all such rules have the form 'X counts as Y in context C' formula – as for example when Barack Obama (X) counts as President of the United States (Y) in the context of US political affairs. Crucially, the X and the Y terms are here identical. A (...)
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  18. Against Fantology.Barry Smith - 2005 - In Johann C. Marek Maria E. Reicher (ed.), Experience and Analysis. HPT&ÖBV. pp. 153-170.
    The analytical philosophy of the last hundred years has been heavily influenced by a doctrine to the effect that the key to the correct understanding of reality is captured syntactically in the ‘Fa’ (or, in more sophisticated versions, in the ‘Rab’) of standard first order predicate logic. Here ‘F’ stands for what is general in reality and ‘a’ for what is individual. Hence “f(a)ntology”. Because predicate logic has exactly two syntactically different kinds of referring expressions—‘F’, ‘G’, ‘R’, etc., and ‘a’, (...)
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  19. L’ontologie de la realité sociale.Barry Smith & John Searle - 2000 - In Pierre Livet & Ruwen Ogien (eds.), L’Enquête ontologique, du mode de l'existence des objets sociaux. Editions EHESS. pp. 185--208.
    Part 1 of this exchange consists in a critique by Smith of Searle’s The Construction of Social Reality focusing on Searle’s use of the formula ‘X counts as Y in context C’. Smith argues that this formula works well for social objects such as dollar bills and presidents where the corresponding X terms (pieces of paper, human beings) are easy to identify. In cases such as debts and prices and money in a banks computers, however, the formula fails, because these (...)
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  20. Materials towards a history of speech act theory.Barry Smith - 1988 - In Eschbach Aschim (ed.), Karl Bühler's Theory of Language: Proceedings of the Conference held at Kirchberg and Essen. John Benjamin. pp. 125-152.
    Preliminary version of “Towards a History of Speech Act Theory”, in A. Burkhardt (ed.), Speech Acts, Meanings and Intentions. Critical Approaches to the Philosophy of John R. Searle, Berlin/New York: de Gruyter, 1990, 29–61.
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  21. Çağdaş Felsefede Yanlış Olan Ne?Kevin Mulligan, Peter M. Simons & Barry Smith - 2024 - Önkül 6 (10):110-119.
    Batı’da teorik felsefe; Analitik Felsefe (AF), Kıta Felsefesi (KF) ve Felsefe Tarihi (FT) olmak üzere üçe ayrılır. Fakat üçünde de işler yolunda değildir. AF, felsefenin bir bilim olabileceği iddiasından kuşku duyduğu için gerçek dünyayla ilgilenmiyorken başından beri uygun bir teorik yöntem izlemeyen Kıta Felsefesinin uygulanışı, belirli politik ve etik yargılara hizmet edecek şekilde özelleştirilmiştir. FT çalışmalarının gidişatı ise eldeki eserin nesnel değerinden daha çok ilgili filozofun ait olduğu ulus veya kültüre göre bölgesel bir temelde gelişmiştir. Felsefede ilerleme sağlanacaksa bu ancak (...)
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  22. Formal Ontology for Natural Language Processing and the Integration of Biomedical Databases.Jonathan Simon, James M. Fielding, Mariana C. Dos Santos & Barry Smith - 2005 - International Journal of Medical Informatics 75 (3-4):224-231.
    The central hypothesis of the collaboration between Language and Computing (L&C) and the Institute for Formal Ontology and Medical Information Science (IFOMIS) is that the methodology and conceptual rigor of a philosophically inspired formal ontology greatly benefits application ontologies. To this end r®, L&C’s ontology, which is designed to integrate and reason across various external databases simultaneously, has been submitted to the conceptual demands of IFOMIS’s Basic Formal Ontology (BFO). With this project we aim to move beyond the level of (...)
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  23. Police Corruption by Donald Campbell, Barry Rose Publishers -book review by Sally Ramage. [REVIEW]Sally Serena Ramage - 2022 - The Criminal Lawyer (Double 252-253):10-15.
    This review is republished to illustrate how important this book is to us today, with legislation and caselaw additions as follows: UK Anti-terrorism, Crime and Security Act 2001; UK Contempt o Court Act 1981; UK Obscene Publications Act 1964; UK Perjury Act 1911; UK Police Misconduct Regulations 1999; UK Prevention o Corruption Act 1996; UK Fraud Act 2006; UK Bribery Act 2010; UK Prevention o Corruption Act 1926; UK Public Bodies Corrupt Practices Act 1889; and UK Terrorism Act 2000. Case (...)
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  24. Gametogênese Animal: Espermatogênese e Ovogênese.Emanuel Isaque Cordeiro da Silva - manuscript
    GAMETOGÊNESE -/- Emanuel Isaque Cordeiro da Silva Instituto Agronômico de Pernambuco Departamento de Zootecnia – UFRPE Embrapa Semiárido -/- • _____OBJETIVO -/- Os estudantes bem informados, estão a buscando conhecimento a todo momento. O estudante de Veterinária e Zootecnia, sabe que a Reprodução é uma área de primordial importância para sua carreira. Logo, o conhecimento da mesma torna-se indispensável. No primeiro trabalho da série fisiologia reprodutiva dos animais domésticos, foi abordado de forma clara, didática e objetiva os mecanismos de diferenciação (...)
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  25. Arte Conceptual.Elisa Caldarola - 2018 - Enciclopedia de la Sociedad Española de Filosofía Analítica.
    La categoría ‘arte conceptual’ se aplica a una gran cantidad de obras de arte contemporáneo. El artista Sol LeWitt introdujo el término en la jerga del arte al describir obras de arte donde “la idea o el concepto es el aspecto más importante de la obra” (LeWitt 1967: 79, traducción mía). Inicialmente, el término se utilizó para referirse a obras producidas entre finales de los años sesenta y principios de los setenta por artistas como Sol LeWitt, Robert Barry, Lawrence (...)
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  26. AI-generated art and fiction: signifying everything, meaning nothing?Steven R. Kraaijeveld - forthcoming - AI and Society:1-3.
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  27. The representation of protein complexes in the Protein Ontology.Carol Bult, Harold Drabkin, Alexei Evsikov, Darren Natale, Cecilia Arighi, Natalia Roberts, Alan Ruttenberg, Peter D’Eustachio, Barry Smith, Judith Blake & Cathy Wu - 2011 - BMC Bioinformatics 12 (371):1-11.
    Representing species-specific proteins and protein complexes in ontologies that are both human and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because (...)
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  28. Coordinating virus research: The Virus Infectious Disease Ontology.John Beverley, Shane Babcock, Gustavo Carvalho, Lindsay G. Cowell, Sebastian Duesing, Yongqun He, Regina Hurley, Eric Merrell, Richard H. Scheuermann & Barry Smith - 2024 - PLoS ONE 1.
    The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Rapid, accurate, and consistent interpretation of generated data is thereby of fundamental concern. Ontologies––structured, controlled, vocabularies––are designed to support consistency of interpretation, and thereby to prevent the development of data silos. This paper describes how ontologies are serving this purpose in the COVID-19 research domain, by following principles of the Open Biological and Biomedical Ontology (OBO) Foundry and by reusing existing ontologies such as the Infectious Disease Ontology (...)
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  29. Cow Care in Hindu Animal Ethics.Kenneth R. Valpey - 2019 - Springer Verlag.
    This Open Access book provides both a broad perspective and a focused examination of cow care as a subject of widespread ethical concern in India, and increasingly in other parts of the world. In the face of what has persisted as a highly charged political issue over cow protection in India, intellectual space must be made to bring the wealth of Indian traditional ethical discourse to bear on the realities of current human-animal relationships, particularly those of humans with cows. Dharma, (...)
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  30. Integration of Intelligence Data through Semantic Enhancement.David Salmen, Tatiana Malyuta, Alan Hansen, Shaun Cronen & Barry Smith - 2011 - In David Salmen, Tatiana Malyuta, Alan Hansen, Shaun Cronen & Barry Smith (eds.), Integration of Intelligence Data through Semantic Enhancement. 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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  31. 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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  32. Applications of the ACGT Master Ontology on Cancer.Mathias Brochhausen, Gabriele Weiler, Luis Martín, Cristian Cocos, Holger Stenzhorn, Norbert Graf, Martin Dörr, Manolis Tsiknakis & Barry Smith - 2008 - In Meersman R. & Herrero P. (eds.), Proceedings of 4th International IFIP Workshop On Semantic Web and Web Semantics (OTM 2008: Workshops), LNCS 5333. pp. 1046–1055.
    In this paper we present applications of the ACGT Master Ontology (MO) which is a new terminology resource for a transnational network providing data exchange in oncology, emphasizing the integration of both clinical and molecular data. The development of a new ontology was necessary due to problems with existing biomedical ontologies in oncology. The ACGT MO is a test case for the application of best practices in ontology development. This paper provides an overview of the application of the ontology within (...)
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  33. Strategies for Healthcare Disaster Management in the Context of Technology Innovation: the Case of Bulgaria.Radostin Vazov, R. Kanazireva, T. Grynko & Oleksandr P. Krupskyi - 2024 - Medicni Perspektivi 29 (2):215-228.
    In Bulgaria, integrating technology and innovation is crucial for advancing sustainable healthcare disaster management, enhancing disaster response and recovery, and minimizing long-term environmental and social impacts. The purpose of the study is to assess the impact of modern technological innovations on the effectiveness of disaster management in health care in Bulgaria with a focus on Health Information Systems (HIS), Telemedicine, Telehealth, e-Health, Electronic Health Records, Artificial Intelligence (AI), Public Communication Platforms, and Data Security and Privacy. These innovations, when integrated effectively, (...)
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  34. Warranted Diagnosis.David Limbaugh, David Kasmier, Werner Ceusters & Barry Smith - 2019 - In David Limbaugh, David Kasmier, Werner Ceusters & Barry Smith (eds.), Proceedings of the International Conference on Biomedical Ontology (ICBO), Buffalo, NY. Buffalo: pp. 1-10.
    A diagnostic process is an investigative process that takes a clinical picture as input and outputs a diagnosis. We propose a method for distinguishing diagnoses that are warranted from those that are not, based on the cognitive processes of which they are the outputs. Processes designed and vetted to reliably produce correct diagnoses will output what we shall call ‘warranted diagnoses’. The latter are diagnoses that should be trusted even if they later turn out to have been wrong. Our work (...)
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  35. The Ethical Function of the Gorgias' Concluding Myth.Nicholas R. Baima - 2024 - In J. Clerk Shaw (ed.), Plato's Gorgias: a critical guide. New York, NY: Cambridge University Press.
    The Gorgias ends with Socrates telling an eschatological myth that he insists is a rational account and no mere tale. Using this story, Socrates reasserts the central lessons of the previous discussion. However, it isn’t clear how this story can persuade any of the characters in the dialogue. Those (such as Socrates) who already believe the underlying philosophical lessons don’t appear to require the myth, and those (such as Callicles) who reject these teachings are unlikely to be moved by this (...)
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  36. Classification of Alzheimer’s Disease Using Traditional Classifiers with Pre-Trained CNN.Husam R. Almadhoun & Samy S. Abu-Naser - 2021 - International Journal of Academic Health and Medical Research (IJAHMR) 5 (4):17-21.
    Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from medical (...)
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  37. Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics.Albert R. Efimov - 2019 - Philosophical Sciences 62 (7):73-95.
    The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the current article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics, and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic (...)
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  38. On Woodruff’s Constructive Nonsense Logic.Jonas R. B. Arenhart & Hitoshi Omori - 2024 - Studia Logica 112 (6):1261-1280.
    Sören Halldén’s logic of nonsense is one of the most well-known many-valued logics available in the literature. In this paper, we discuss Peter Woodruff’s as yet rather unexplored attempt to advance a version of such a logic built on the top of a constructive logical basis. We start by recalling the basics of Woodruff’s system and by bringing to light some of its notable features. We then go on to elaborate on some of the difficulties attached to it; on our (...)
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  39. (1 other version)A strategy for improving and integrating biomedical ontologies.Cornelius Rosse, Anand Kumar, Jose L. V. Mejino, Daniel L. Cook, Landon T. Detwiler & Barry Smith - 2007 - In Ron Rudnicki (ed.), Proceedings of the Annual Symposium of the American Medical Informatics Association. AMIA. pp. 639-643.
    The integration of biomedical terminologies is indispensable to the process of information integration. When terminologies are linked merely through the alignment of their leaf terms, however, differences in context and ontological structure are ignored. Making use of the SNAP and SPAN ontologies, we show how three reference domain ontologies can be integrated at a higher level, through what we shall call the OBR framework (for: Ontology of Biomedical Reality). OBR is designed to facilitate inference across the boundaries of domain ontologies (...)
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  40. National Center for Biomedical Ontology: Advancing biomedicine through structured organization of scientific knowledge.Daniel L. Rubin, Suzanna E. Lewis, Chris J. Mungall, Misra Sima, Westerfield Monte, Ashburner Michael, Christopher G. Chute, Ida Sim, Harold Solbrig, M. A. Storey, Barry Smith, John D. Richter, Natasha Noy & Mark A. Musen - 2006 - Omics: A Journal of Integrative Biology 10 (2):185-198.
    The National Center for Biomedical Ontology is a consortium that comprises leading informaticians, biologists, clinicians, and ontologists, funded by the National Institutes of Health (NIH) Roadmap, to develop innovative technology and methods that allow scientists to record, manage, and disseminate biomedical information and knowledge in machine-processable form. The goals of the Center are (1) to help unify the divergent and isolated efforts in ontology development by promoting high quality open-source, standards-based tools to create, manage, and use ontologies, (2) to create (...)
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  41. ImmPort, toward repurposing of open access immunological assay data for translational and clinical research.Sanchita Bhattacharya, Patrick Dunn, Cristel Thomas, Barry Smith, Henry Schaefer, Jieming Chen, Zicheng Hu, Kelly Zalocusky, Ravi Shankar & Shai Shen-Orr - 2018 - Scientific Data 5:180015.
    Immunology researchers are beginning to explore the possibilities of reproducibility, reuse and secondary analyses of immunology data. Open-access datasets are being applied in the validation of the methods used in the original studies, leveraging studies for meta-analysis, or generating new hypotheses. To promote these goals, the ImmPort data repository was created for the broader research community to explore the wide spectrum of clinical and basic research data and associated findings. The ImmPort ecosystem consists of four components–Private Data, Shared Data, Data (...)
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  42. CARO: The Common Anatomy Reference Ontology.Melissa Haendel, Fabian Neuhaus, David Osumi-Sutherland, Paula M. Mabee, José L. V. Mejino Jr, Chris J. Mungall & Barry Smith - 2008 - In Haendel Melissa, A. Neuhaus, Fabian Osumi-Sutherland, David Mabee, Paula M., Mejino Jr José L. V., Mungall Chris, J. Smith & Barry (eds.), Anatomy Ontologies for Bioinformatics: Principles and Practice. Springer. pp. 327-349.
    The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies. CARO has a structural axis of classification based on the top-level nodes of the Foundational Model of Anatomy. CARO will complement the developmental process sub-ontology of the GO Biological Process ontology, using it to ensure the coherent treatment of developmental stages, and to provide a common framework for the model organism communities (...)
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  43. Rules in programming languages and networks.Frederick R. Adams, Kenneth Aizawa & Gary Fuller - 1992 - In John Dinsmore (ed.), The Symbolic and Connectionist Paradigms: Closing the Gap. Lawrence Erlbaum.
    1. Do models formulated in programming languages use explicit rules where connectionist models do not? 2. Are rules as found in programming languages hard, precise, and exceptionless, where connectionist rules are not? 3. Do connectionist models use rules operating on distributed representations where models formulated in programming languages do not? 4. Do connectionist models fail to use structure sensitive rules of the sort found in "classical" computer architectures? In this chapter we argue that the answer to each of these questions (...)
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  44. The Blood Ontology: An ontology in the domain of hematology.Almeida Mauricio Barcellos, Proietti Anna Barbara de Freitas Carneiro, Ai Jiye & Barry Smith - 2011 - In Barcellos Almeida Mauricio, Carneiro Proietti Anna Barbara de Freitas, Jiye Ai & Smith Barry (eds.), Proceedings of the Second International Conference on Biomedical Ontology, Buffalo, NY, July 28-30, 2011 (CEUR 883). pp. (CEUR Workshop Proceedings, 833).
    Despite the importance of human blood to clinical practice and research, hematology and blood transfusion data remain scattered throughout a range of disparate sources. This lack of systematization concerning the use and definition of terms poses problems for physicians and biomedical professionals. We are introducing here the Blood Ontology, an ongoing initiative designed to serve as a controlled vocabulary for use in organizing information about blood. The paper describes the scope of the Blood Ontology, its stage of development and some (...)
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  45. What particulars are referred to in EHR data? A case study in integrating referent tracking into an electronic health record application.Ron Rudnicki, Werner Ceusters, Shaid Manzoo & Barry Smith - 2007 - In Proceedings of the Annual Symposium of the American Medical Informatics Association. AMIA. pp. 630-634.
    Referent Tracking (RT) advocates the use of instance unique identifiers to refer to the entities comprising the subject matter of patient health records. RT promises many benefits to those who use health record data to improve patient care. To further the adoption of the paradigm we provide an illustration of how data from an EHR application needs to be decomposed in order to make it accord with the tenets of RT. We describe the ontological principles on which this decomposition is (...)
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  46. "Comentario sobre" Realismo, esencialismo y extensionalismo".Pablo R. Arango - 2006 - Discusiones Filosóficas 7 (10):231-243.
    El artículo es un comentario crítico a“Realismo, esencialismo yextensionalismo”, del profesor IgnacioÁvila. En particular, se contestan lascríticas que el profesor Ávila hace a lametafísica esencialista, argumentando,principalmente, que esta metafísica escompatible con el fenómeno de larelatividad conceptual.This paper is a critical commentary to“Realism, Essentialism and Extensionalism”, by professor Ignacio Ávila. In particular, professor Ávila’s criticisms to an essentialist metaphysics are answered,arguing, mainly, that this metaphysicsis compatible with the phenom-enon of conceptual relativity.
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  47. Informatics: the fuel for pharmacometric analysis.H. Grasela Thaddeus, Fiedler-Kelly Jill, Cirincione Brenda, Hitchcock Darcy, Reitz Kathleen, Sardella Susanne & Barry Smith - 2007 - AAPS Journal 9 (1):E84--E91.
    The current informal practice of pharmacometrics as a combination art and science makes it hard to appreciate the role that informatics can and should play in the future of the discipline and to comprehend the gaps that exist because of its absence. The development of pharmacometric informatics has important implications for expediting decision making and for improving the reliability of decisions made in model-based development. We argue that well-defined informatics for pharmacometrics can lead to much needed improvements in the efficiency, (...)
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  48. OHMI: The Ontology of Host-Microbiome Interactions.Yongqun He, Haihe Wang, Jie Zheng, Daniel P. Beiting, Anna Maria Masci, Hong Yu, Kaiyong Liu, Jianmin Wu, Jeffrey L. Curtis, Barry Smith, Alexander V. Alekseyenko & Jihad S. Obeid - 2019 - Journal of Biomedical Semantics 10 (1):1-14.
    Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases, and extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery. A community-based Ontology of Host-Microbiome Interactions (OHMI) was developed following the OBO Foundry principles. OHMI leverages established (...)
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  49. Developing the Quantitative Histopathology Image Ontology : A case study using the hot spot detection problem.Metin Gurcan, Tomaszewski N., Overton John, A. James, Scott Doyle, Alan Ruttenberg & Barry Smith - 2017 - Journal of Biomedical Informatics 66:129-135.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection with (...)
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  50. Clinical ontologies interfacing the real world.Stefan Schulz, Holger Stenzhorn, Martin Boeker, Rüdiger Klar & Barry Smith - 2007 - In Schulz Stefan, Stenzhorn Holger, Boeker Martin, Klar Rüdiger & Smith Barry (eds.), Third International Conference on Semantic Technologies (i-semantics 2007), Graz, Austria. pp. 356-363..
    The desideratum of semantic interoperability has been intensively discussed in medical informatics circles in recent years. Originally, experts assumed that this issue could be sufficiently addressed by insisting simply on the application of shared clinical terminologies or clinical information models. However, the use of the term ‘ontology’ has been steadily increasing more recently. We discuss criteria for distinguishing clinical ontologies from clinical terminologies and information models. Then, we briefly present the role clinical ontologies play in two multicentric research projects. Finally, (...)
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