Ontologies are being used increasingly to promote the reusability of scientific information by allowing heterogeneous data to be integrated under a common, normalized representation. Definitions play a central role in the use of ontologies both by humans and by computers. Textual definitions allow ontologists and data curators to understand the intended meaning of ontology terms and to use these terms in a consistent fashion across contexts. Logical definitions allow machines to check the integrity of ontologies and reason over data annotated (...) with ontology terms to make inferences that promote knowledge discovery. Therefore, it is important not only to include in ontologies multiple types of definitions in both formal and in natural languages, but also to ensure that these definitions meet good quality standards so they are useful. While tools such as Protégé can assist in creating well-formed logical definitions, producing good definitions in a natural language is still to a large extent a matter of human ingenuity supported at best by just a small number of general principles. For lack of more precise guidelines, definition authors are often left to their own personal devices. This paper aims to fill this gap by providing the ontology community with a set of principles and conventions to assist in definition writing, editing, and validation, by drawing on existing definition writing principles and guidelines in lexicography, terminology, and logic. (shrink)

To understand what ontologies do through their definitions, we propose a theoretical explanation of the functions of definitions in ontologies backed by empirical neuropsychological studies. Our goal is to show how these functions should motivate (i) the systematic inclusion of definitions in ontologies and (ii) the adaptation of definition content and form to the specific context of use of ontologies.

This paper proposes a reformulation of the treatment of boundaries, at parts and aggregates of entities in Basic Formal Ontology. These are currently treated as mutually exclusive, which is inadequate for biological representation since some entities may simultaneously be at parts, boundaries and/or aggregates. We introduce functions which map entities to their boundaries, at parts or aggregations. We make use of time, space and spacetime projection functions which, along the way, allow us to develop a simple temporal theory.

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 (...) the goal of enhancing reliability of detection by promoting the sharing of data between image analysts. (shrink)

We have begun work on two separate but related ontologies for the study of neurological diseases. The first, the Neurological Disease Ontology (ND), is intended to provide a set of controlled, logically connected classes to describe the range of neurological diseases and their associated signs and symptoms, assessments, diagnoses, and interventions that are encountered in the course of clinical practice. ND is built as an extension of the Ontology for General Medical Sciences — a high-level candidate OBO Foundry ontology that (...) provides a set of general classes that can be used to describe general aspects of medical science. ND is being built with classes utilizing both textual and axiomatized definitions that describe and formalize the relations between instances of other classes within the ontology itself as well as to external ontologies such as the Gene Ontology, Cell Ontology, Protein Ontology, and Chemical Entities of Biological Interest. In addition, references to similar or associated terms in external ontologies, vocabularies and terminologies are included when possible. Initial work on ND is focused on the areas of Alzheimer’s and other diseases associated with dementia, multiple sclerosis, and stroke and cerebrovascular disease. Extensions to additional groups of neurological diseases are planned. The second ontology, the Neuro-Psychological Testing Ontology (NPT), is intended to provide a set of classes for the annotation of neuropsychological testing data. The intention of this ontology is to allow for the integration of results from a variety of neuropsychological tests that assay similar measures of cognitive functioning. Neuro-psychological testing is an important component in developing the clinical picture used in the diagnosis of patients with a range of neurological diseases, such as Alzheimer’s disease and multiple sclerosis, and following stroke or traumatic brain injury. NPT is being developed as an extension to the Ontology for Biomedical Investigations. (shrink)

The Protein Ontology provides terms for and supports annotation of species-specific protein complexes in an ontology framework that relates them both to their components and to species-independent families of complexes. Comprehensive curation of experimentally known forms and annotations thereof is expected to expose discrepancies, differences, and gaps in our knowledge. We have annotated the early events of innate immune signaling mediated by Toll-Like Receptor 3 and 4 complexes in human, mouse, and chicken. The resulting ontology and annotation data set has (...) allowed us to identify species-specific gaps in experimental data and possible functional differences between species, and to employ inferred structural and functional relationships to suggest plausible resolutions of these discrepancies and gaps. (shrink)

Identification of non-coding RNAs (ncRNAs) has been significantly enhanced due to the rapid advancement in sequencing technologies. On the other hand, semantic annotation of ncRNA data lag behind their identification, and there is a great need to effectively integrate discovery from relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a precisely defined ncRNA controlled vocabulary, which can fill a specific and highly needed niche in unification of ncRNA biology.

To enhance the treatment of relations in biomedical ontologies we advance a methodology for providing consistent and unambiguous formal definitions of the relational expressions used in such ontologies in a way designed to assist developers and users in avoiding errors in coding and annotation. The resulting Relation Ontology can promote interoperability of ontologies and support new types of automated reasoning about the spatial and temporal dimensions of biological and medical phenomena.

Letter commenting on the paper Barry Smith, Louis J. Goldberg, Alan Ruttenberg & Michael Glick, "Ontology and the Future of Dental Research Informatics", Journal of the American Dental Association 141 2010;(10):1173-75 with responses by the authors of the paper.

How do we find what is clinically significant in the swarms of data being generated by today’s diagnostic technologies? As electronic records become ever more prevalent – and digital imaging and genomic, proteomic, salivaomics, metabalomics, pharmacogenomics, phenomics and transcriptomics techniques become commonplace – fdifferent clinical and biological disciplines are facing up to the need to put their data houses in order to avoid the consequences of an uncontrolled explosion of different ways of describing information. We describe a new strategy to (...) advance the consistency of data in the dental research community. The strategy is based on the idea that existing systems for data collection in dental research will continue to be used, but proposes a methodology in which past, present and future data will be described using a consensus-based controlled structured vocabulary called the Ontology for Dental Research (ODR). (shrink)

Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of (...) large amounts of ncRNA biological and clinical data. (shrink)

Definitions vary according to context of use and target audience. They must be made relevant for each context to fulfill their cognitive and linguistic goals. This involves adapting their logical structure, type of content, and form to each context of use. We examine from these perspectives the case of definitions in ontologies.

In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...) domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. The NCRO ontology is free and open to all users. (shrink)

Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that the (...) OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data FAIR. Competing Interest StatementThe authors have declared no competing interest. (shrink)

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 (...) modalities (including text, images, audio, and signals). The result of applying this strategy to a given body of data is an evolving Dataspace that allows the application of a variety of integration and analytic processes to diverse data contents. We conceive semantic enhancement (SE) as a lightweight and flexible process that leverages the richness of the structured contents of the Dataspace without adding storage and processing burdens to what, in the intelligence domain, will be an already storage- and processing-heavy starting point. SE works not by changing the data to which it is applied, but rather by adding an extra semantic layer to this data. We sketch how the semantic enhancement approach can be applied consistently and in cumulative fashion to new data and data-models that enter the Dataspace. (shrink)

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to (...) existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource providing details on the people, policies, and issues being addressed in association with OBI. (shrink)

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 (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

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) (...) for the representation of entities in the domain of disease and medical practice. Initial applications of ND will include the annotation and analysis of large data sets and patient records for Alzheimer’s disease, multiple sclerosis, and stroke. (shrink)

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 (...) data analysis and inference. To address these problems, the community-based Vaccine Ontology (VO) has been developed through collaboration with vaccine researchers and many national and international centers and programs, including the National Center for Biomedical Ontology (NCBO), the Infectious Disease Ontology (IDO) Initiative, and the Ontology for Biomedical Investigations (OBI). VO utilizes the Basic Formal Ontology (BFO) as the top ontology and the Relation Ontology (RO) for definition of term relationships. VO is represented in the Web Ontology Language (OWL) and edited using the Protégé-OWL. Currently VO contains more than 2000 terms and relationships. VO emphasizes on classification of vaccines and vaccine components, vaccine quality and phenotypes, and host immune response to vaccines. These reflect different aspects of vaccine composition and biology and can thus be used to model individual vaccines. More than 200 licensed vaccines and many vaccine candidates in research or clinical trials have been modeled in VO. VO is being used for vaccine literature mining through collaboration with the National Center for Integrative Biomedical Informatics (NCIBI). Multiple VO applications will be presented. (shrink)

Monoclonal antibodies are essential biomedical research and clinical reagents that are produced by companies and research laboratories. The NIAID ImmPort (Immunology Database and Analysis Portal) resource provides a long-term, sustainable data warehouse for immunological data generated by NIAID, DAIT and DMID funded investigators for data archiving and re-use. A variety of immunological data is generated using techniques that rely upon monoclonal antibody reagents, including flow cytometry, immunofluorescence, and ELISA. In order to facilitate querying, integration, and reuse of data, standardized terminology (...) for describing monoclonal antibody reagents and their targets needs to be used for annotating data submitted to ImmPort. (shrink)

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 (...) proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/. (shrink)

We describe the rationale for an application ontology covering the domain of human body fluids that is designed to facilitate representation, reuse, sharing and integration of diagnostic, physiological, and biochemical data, We briefly review the Blood Ontology (BLO), Saliva Ontology (SALO) and Kidney and Urinary Pathway Ontology (KUPO) initiatives. We discuss the methods employed in each, and address the project of using them as starting point for a unified body fluids ontology resource. We conclude with a description of how the (...) body fluids ontology initiative may provide support to basic and translational science. (shrink)

This volume brings together a range of influential essays by distinguished philosophers and political theorists on the issue of global justice. Global justice concerns the search for ethical norms that should govern interactions between people, states, corporations and other agents acting in the global arena, as well as the design of social institutions that link them together. The volume includes articles that engage with major theoretical questions such as the applicability of the ideals of social and economic equality to the (...) global sphere, the degree of justified partiality to compatriots, and the nature and extent of the responsibilities of the affluent to address global poverty and other hardships abroad. It also features articles that bring the theoretical insights of global justice thinkers to bear on matters of practical concern to contemporary societies, such policies associated with immigration, international trade, and climate change. -/- Contents: Introduction; Part I Standards of Global Justice: (i) Assistance-Based Responsibilities to the Global Poor: Famine, affluence and mortality, Peter Singer; We don't owe them a thing! A tough-minded but soft-hearted view of aid to the faraway needy, Jan Narveson; Does distance matter morally to the duty to rescue? Frances Myrna Kamm. (ii) Contribution-Based Responsibilities to the Global Poor: 'Assisting' the global poor, Thomas Pogge; Should we stop thinking about poverty in terms of helping the poor?, Alan Patten; Poverty and the moral significance of contribution, Gerhard Øverland. (iii)Cosmopolitans, Global Egalitarians, and its Critics: The one and the many faces of cosmopolitanism, Catherine Lu; Cosmopolitan justice and equalizing opportunities, Simon Caney; The problem of global justice, Thomas Nagel; Against global egalitarianism, David Miller; Egalitarian challenges to global egalitarianism: a critique, Christian Barry and Laura Valentini. Part II Pressing Global Socioeconomic Issues: (i) Governing the Flow of People: Immigration and freedom of association, Christopher Wellman; Democratic theory and border coercion: no right to unilaterally control your own borders, Arash Abizadeh; Justice in migration: a closed borders utopia?, Lea Ypi. (ii) Climate Change: Global environment and international inequality, Henry Shue; Valuing policies in response to climate change: some ethical issues, John Broome; Saved by disaster? Abrupt climate change, political inertia, and the possibility of an intergenerational arms race, Stephen M. Gardiner; Polycentric systems for coping with collective action and global environmental change, Elinor Ostrom. (iii) International Trade: Responsibility and global labor justice, Iris Marion Young; Property rights and the resource curse, Leif Wenar; Fairness in trade I: obligations arising from trading and the pauper-labor argument, Mathias Risse; Name index. -/- See: www.ashgate.com/default.aspx?page=637&calctitle=1&pageSubject=483&sort=pubdate&forthcoming=1&title_i d=9958&edition_id=13385. (shrink)

This is a contribution to a Book symposium on The Limits of Free Will: Selected Essays by Paul Russell. Russell provides replies to three critics of The Limits of Free Will. The first reply is to Robert Wallace and focuses on the question of whether there is a conflict between the core compatibilist and pessimist components of the "critical compatibilist" position that Russell has advanced. The second reply is to Angela Smith's discussion of the "narrow" interpretation of moral responsibility (...) responsibility (as defended by R. Jay Wallace) and how best to respond to it. The third and last reply is concerned with Christopher Bennett's criticism of Russell's views concerning "motivational scepticism" and the possibility of pure practical reasons. (shrink)

Gökhan Murteza, “Ahlak, İktisat ve Bilim: Adam Smith Felsefesine Giriş” isimli eserinde genellikle İktisat disiplininin birçok farklı konusunu felsefi açıdan tartışmaya açmıştır. Murteza’nın bu eseri, devleti ve toplumu ilgilendiren bu araştırma alanının, A. Smith ile birlikte bir bilim dalı olarak görülmeye başlanmasının sonucunda, gerçekten ahlaki olanı içerip içermediği problemi üzerinde durmaktadır.

A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York: Oxford University Press, 2020.

A collection of essays, mostly original, on the actual and possible positions on free will available to Buddhist philosophers, by Christopher Gowans, Rick Repetti, Jay Garfield, Owen Flanagan, Charles Goodman, Galen Strawson, Susan Blackmore, Martin T. Adam, Christian Coseru, Marie Friquegnon, Mark Siderits, Ben Abelson, B. Alan Wallace, Peter Harvey, Emily McRae, and Karin Meyers, and a Foreword by Daniel Cozort.

In lieu of an abstract, here is a brief excerpt of the content:Why Gaia?Massimo Pigliucci (bio)The Gaia Hypothesis: Science on a Pagan Planet, Michael Ruse, Chicago: University of Chicago Press, 2013. 272 pages.“The Gaia Hypothesis: Science on a Pagan Planet tells a story that comes out of the 1960s, a story that reflects all of the beliefs and enthusiasms and tensions of that decade.” So begins Michael Ruse’s fascinating, if at times puzzling, exploration of James Lovelock’s famous idea that our (...) planet is, in a serious scientific sense, a living organism with a tendency of taking care of (her)self. But why tell this particular story, especially considering that Gaia hardly makes an appearance in today’s scientific or philosophical publications, and doesn’t even seem quite that popular with the lay public as it used to be? Because, as Ruse tells us near the end of the book, at the onset of chapter seven: “the paradox that set us on our path [is] why the scientific community reacted so negatively to the Gaia hypothesis, whereas the public reaction was so positive.”As it turns out, there is a good answer to that conundrum, one that Ruse himself lays out clearly in the last chapter of the book, and which makes the reader wonder why this should count a paradox at all. But we will get there in due time. First, the basics: the so-called Gaia hypothesis is the brainchild of iconoclastic inventor-turned-independent-scientist James Lovelock, who later got significant help in elaborating (and promoting) his ideas from another iconoclast, biologist Lynn Margulis. By the time you get to the end of Ruse’s engaging book, however, you won’t have gained a particularly good understanding of what the hypothesis actually consists. But that’s not Ruse’s fault, it is Lovelock’s (and Margulis’). At times it sounds like the entirely uncontroversial claim that the Earth’s [End Page 117] biosphere is a somewhat homeostatic system—i.e., a biophysical system that is resistant to major changes, at the least within a certain range (the planet’s atmosphere, after all, did change dramatically early on, increasing its oxygen content as a result of the evolution of photosynthetic organisms—the anaerobic life forms that had up to that point been dominant did not appreciate the novelty). At other times the claim is downright preposterous: the Earth literally is a living organism (according to Lovelock) (Chapter 7),1 a finding that allegedly puts in question the whole Darwinian view of biological evolution (according to Margulis) (Chapter 7), a position that can only be characterized as nonsense on stilts. At yet other moments, Gaia is presented as just a metaphor to help us wrap our minds around the complexities (and homeostatic properties) of the world’s ecosystems (Chapter 8). It is this never-ending oscillation between the trivial and the bizarre that has led the majority of scientists to write off Gaia, to the chagrin of Lovelock, Margulis, and a large number of New Age tree huggers from the 1960s.Indeed, the scientific reaction to Gaia was swift and ranging from the condescending to the unforgiving. Evolutionary biologist John Maynard Smith—never one to mince words—called it “an evil religion” (Chapter 2). Another evolutionary biologist, Stephen Jay Gould (whose own disagreements with Maynard Smith became legendary) said that “Gaia strikes me as a metaphor, not a mechanism” (Chapter 2). Ecologist Robert May, who eventually became president of the Royal Society, called Lovelock “a holy fool” (Chapter 2). The highly respected theoretical biologist W.D. Hamilton said that in order for the hypothesis to work, it would require “treaties between Neptune and Zeus, a Gaian Interpol, conventions about bills of lading for chemical transport by air and water, and so on” (Chapter 7). Finally, Richard Dawkins accused Lovelock of committing the fallacy of “the BBC theorem,” assuming (or wishfully thinking) that the world is a harmonious place, just like in naive BBC nature documentaries (Chapter 2).You get the gist: pretty much from the beginning, and with very few exceptions, the scientific establishment rejected Gaia on the grounds that it is not a scientific hypothesis at all, and that its main tenets actually go against pretty... (shrink)

Bilimi ve bilimsel bilgiyi kültür, değer ve öznel yargılardan izole ederek nesnel bir şekilde ortaya koyabilmeye yönelik hararetli tartışmaların yaşandığı yirminci yüzyıl bilim anlayışının temel gayesi, deney ve gözleme tabi olabilecek fiziki dünyadaki olguları, mantıksal çözümlemeye tabi tutarak birleştirilmiş bilime ulaşmaktır. Bu amaca giden yolda olgulara dayanmayan ve sınanamayan her türlü metafizik öge yok sayılır. Bilimsel bilginin sadece deney ve gözleme tabi olana, diğer bir deyişle olgu verilerine dayandığı iddiasını taşıyan bu düşünce sistemi, özellikle Viyana Çevresi üyeleri tarafından benimsenmiştir. Bu (...) bakımdan Çevre üyelerinin bilimsellik anlayışındaki temel ölçüt olgulara dayanan önermelerin ya da yargıların doğrulanabilmesidir. Bilimsel bilginin sadece olgusal dünyanın gözlemlenmesi ve bu gözlem sonucunda ortaya konulan önermelerin ya da ifadelerin doğrulanmasıyla sağlandığını düşünen Çevre üyelerinin bu savlarındaki amacı bilimi ve onun bilgisini her türlü kültür ve değer alanından uzaklaştırarak metafiziksel unsurlardan arındırılmış nesnel bilgiye ulaşmaktır. Çevre üyelerinin birçoğu bilim alanı içerisinde tartışmaya yol açan meselelerin aslında metafiziksel içerikli ve dolayısıyla bunların görünüşte problemler olduğunu belirterek bu tartışmaların bilimsel bilginin gelişimi önünde bir engel oluşturacağı kanaatindedir (Hızır, 1965, s. 254). Söz gelimi, Carnap’a göre, metafizik ögeler olgusal içeriğe sahip olmadığı ve sınanabilir nitelikte olmadıkları için bilim alanı içerisinde değerlendirilemez. Bu nedenle, metafizik ögeler hem doğrulanması mümkün olmadığı hem de dilin mantıksal dizimine genellikle uymadığı gerekçesiyle anlamsızdır (Öztürk, 2011, s. 155). Bu bakımdan Çevre üyelerine göre, olgulara dayanmayan ve bilimde yanılsamalara yol açan metafizik söylemler bilimden ayıklanmalı ve bilimsel bilgi ancak olgu ve deneye dayanan önermeler üzerinden yürütülmelidir. Öte yandan Çevre düşünürleri mantıksal çözümleme yoluyla olgulara dayanan önermelerin metafiziksel unsurlar içeren önermelerden ayırt edilebileceğini ifade etmiştir. Bu bağlamda metafizik önermeleri, metafizik olmayan önermelerden ayırt edecek ölçütün doğrulanabilirlik olduğunu savunurlar. Çevre üyelerinin bu tutumları bir bakıma bilim ve sözde bilim arasında ayrım yapma ve metafiziği bilimin dışında tutma çabası olarak da değerlendirilebilir (Kabadayı, 2011, s. 39-40). Yirminci yüzyıl bilim anlayışında bilimsel etkinlikte gözlemin ve gözlemi yürüten bilim insanlarının dolaysız öznel duyu verileriyle ilişkili olduğu bu nedenle gözlem verilerinin psikolojizmin etkisinde olduğu fikri ortaya atılır. Başta Neurath olmak üzere dönemin bilim felsefecileri bilimsel bilginin kültür, değer ve psikoloji gibi öznel unsurlardan uzaklaştığı sürece değerli olduğu kanısında olduğu için bu fikre karşı çıkmaktadır (Gillies, 2018, s. 123). Görüldüğü üzere, Çevre üyelerinin temel amacı metafizik önermelerden arındırılmış, olgulara dayanan bir bilime ulaşmaktır. Bu amacın gerçekleşmesine olanak sağlayacak yöntem ise mantıksal çözümlemedir. Bu bağlamda Çevre üyeleri olgulara dayanan ve doğrulanabilen önermelerin, söz dizimi (sentaks) ve anlamsal (semantik) açıdan incelemeye tabi tutulması gerektiğini düşünmektedir (Yardımcı, 2018, s. 13-15). Özellikle Carnap (1935, s. 9-10) doğrulamanın ancak öne sürülen önermenin mantıksal analize tabi tutularak yapılması gerektiğini iddia etmiştir (Irzık, 1962, s. 65). Bununla birlikte, felsefenin işlevi, önermeleri mantıksal analize tabi tutarak yalın hale getirmektir. İşte felsefenin bu yönü Neurath’da bilimin birliği, Carnap’ta ise bilimin sentaksı, yani bilimin mantığı üzerine çalışma anlamına gelir (Hızır, 1965, s. 252). Bilimi, bilim olmayandan ayırma yöntemi olarak kullanılan doğrulama işlemi, teorik bir söylem ve gözlem önermesi arasında yapılan bir işlem olması bakımından mantıksal ve dilsel bir özellik taşır. Buradaki temel sorun ise teorik bir önermenin gözlem önermelerine indirgenebilir nitelikte olması ve gözlem önermelerinin, gözlem ile nasıl ilişki kurduğunu saptamaktır. İşte Viyana Çevresi üyeleri bu ilişkinin protokol önermeleri ile kurulduğu kanaatindedir (Ural, 2012, s. 105-107) çünkü onlara göre; öznelerarası bir bilimin sağlanması için yansız ve anlam karmaşasından arındırılmış bir dil gereklidir (Serin, 2015, s. 55). Bu dil de ancak protokol önermeler aracılığıyla kurulabilir. Bu bağlamda Çevre üyelerinin, metafiziksel ifadeler barındıran önermelerin anlamsızlığı ve bilimleri ortak bir paydada birleştiren fiziksel bir dil oluşturma olmak üzere iki temel hedefinin olduğu söylenebilir (Godfrey-Smith, 2003, s. 25; Salgar, 2012, s. 187). (shrink)

We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...) situations and thematic roles, (e.g., roles such as agent, patient and instrument), based on new compositions of existing representations. We applied our prototype in an intelligence analysis use case to test the hypothesis that a framework of this sort can produce usefully structured information from combined natural language and sensor data inputs. We further tested our hypothesis by adding an enhanced US Air Force ontology framework to our ODIS in order to (1) process a collection of sensor data, intel reports, and mission plans; (2) build composite POR representations from these data; and (3) machine analyze the fused results to infer mission threats. (shrink)

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 (...) integration and analysis? How can we support the identification, selection, composition, and orchestration of services based on such diverse data providing homogeneous support by a service-oriented architecture? This collection is devoted to the use of ontologies to answer questions such as these. (shrink)

Numerous research groups are now utilizing Basic Formal Ontology as an upper-level framework to assist in the organization and integration of biomedical information. This paper provides elucidation of the three existing BFO subcategories of realizable entity, namely function, role, and disposition. It proposes one further sub-category of tendency, and considers the merits of recognizing two sub-categories of function for domain ontologies, namely, artifactual and biological function. The motivation is to help advance the coherent ontological treatment of functions, roles, and dispositions, (...) to help provide the potential for more detailed classification, and to shed light on BFO’s general make-up and use. (shrink)

The goal of referent tracking is to create an ever-growing pool of data relating to the entities existing in concrete spatiotemporal reality. In the context of Electronic Healthcare Records (EHRs) the relevant concrete entities are not only particular patients but also their parts, diseases, therapies, lesions, and so forth, insofar as these are salient to diagnosis and treatment. Within a referent tracking system, all such entities are referred to directly and explicitly, something which cannot be achieved when familiar concept-based systems (...) are used in what is called “clinical coding”. In this paper we describe the components of a referent tracking system in an informal way and we outline the procedures that would have to be followed by healthcare personnel in using such a system. We argue that the referent tracking paradigm can be introduced with only minor – though nevertheless ontologically important – technical changes to existing EHR infrastructures, but that it will require a radically different mindset on the part of those involved in clinical coding and terminology development from that which has prevailed hitherto. (shrink)

A meaningful life, we shall argue, is a life upon which a certain sort of valuable pattern has been imposed by the person in question - a pattern which involves in serious ways the person having an effect upon the world. Meaningfulness is thus a special kind of value which a human life can bear. Two interrelated difficulties face ths proposal. One concerns responsiblity: how are we to account for the fact that a life that satisfies the above criteria can (...) have more meaning than a life with the same positive outcomes but which lacks responsiblity on the part of the agent? The other turns on these outcomes themselves: how can the meaningfulness engendered by actions you perform now be affected by what those actions go on to produce in the future, perhaps even after your death? We provide a response to both of these difficulties. (shrink)

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. (...) We here present a view of mental disease that is based on ontological realism and which follows the principles embodied in Basic Formal Ontology and in the application of BFO in the Ontology of General Medical Science. We analyzed statements about what counts as a mental disease provided in the research agenda for the DSM-V, and in Pies' model. The results were used to assess whether the representational units of BFO and OGMS were adequate as foundations for a formal representation of the entities in reality that these statements attempt to describe. We then analyzed the representational units specific to mental disease and provided corresponding definitions. Our key contributions lie in the identification of confusions and conflations in the existing terminology of mental disease and in providing what we believe is a framework for the sort of clear and unambiguous reference to entities on the side of the patient that is needed in order to avoid these confusions in the future. (shrink)

Affective science conducts interdisciplinary research into the emotions and other affective phenomena. Currently, such research is hampered by the lack of common definitions of te rms 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 effort directed towards such formal representation for affective phenomena, in part because of widespread debates within the affective science community on matters of definition and categorization. We describe our efforts towards developing an Emotion Ontology (EMO) to serve the affective science community. We here focus on conformity to the BFO upper ontology and disambiguation of polysemous terminology. (shrink)

The Information Artifact Ontology (IAO) was created to serve as a domain‐neutral resource for the representation of types of information content entities (ICEs) such as documents, data‐bases, and digital im‐ages. We identify a series of problems with the current version of the IAO and suggest solutions designed to advance our understanding of the relations between ICEs and associated cognitive representations in the minds of human subjects. This requires embedding IAO in a larger framework of ontologies, including most importantly the Mental (...) Func‐tioning Ontology (MFO). It also requires a careful treatment of the aboutness relations between ICEs and associated cognitive representa‐tions and their targets in reality, which implies in turn a new treatment of the relation of truthmaking. (shrink)

Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies,' for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who (...) created them, and unable to serve as inputs for automated reasoning. This volume shows, in a nontechnical way and using examples from medicine and biology, how the rigorous application of theories and insights from philosophical ontology can improve the ontologies upon which information management depends. (shrink)

Ernst Mach's atomistic theory of sensation faces problems in doing justice to our ability to perceive and remember complex phenomena such as melodies and shapes. Christian von Ehrenfels attempted to solve these problems with his theory of "Gestalt qualities", which he sees as entities depending one-sidedly on the corresponding simple objects of sensation. We explore the theory of dependence relations advanced by Ehrenfels and show how it relates to the views on the objects of perception advanced by Husserl and by (...) the Gestalt psychologists. (shrink)

This paper addresses a family of issues surrounding the biological phenomenon of resistance and its representation in realist ontologies. The treatments of resistance terms in various existing ontologies are examined and found to be either overly narrow, internally inconsistent, or otherwise problematic. We propose a more coherent characterization of resistance in terms of what we shall call blocking dispositions, which are collections of mutually coordinated dispositions which are of such a sort that they cannot undergo simultaneous realization within a single (...) bearer. A definition of ‘protective resistance’ is proposed for use in the Infectious Disease Ontology (IDO) and we show how this definition can be used to characterize the antibiotic resistance in Methicillin-Resistant Staphylococcus aureus (MRSA). The ontological relations between entities in our MRSA case study are used alongside a series of logical inference rules to illustrate logical reasoning about resistance. A description logic representation of blocking dispositions is also provided. We demonstrate that our characterization of resistance is sufficiently general to cover two other cases of resistance in the infectious disease domain involving HIV and malaria. (shrink)

The essay provides an account of the development of Reinach’s philosophy of “Sachverhalte” (states of affairs) and on problems in the philosophy of law, leading up to his discovery of the theory of speech acts in 1913. Reinach’s relations to Edmund Husserl and to the Munich phenomenologists are also dealt with.

This paper provides an axiomatic formalization of a theory of foundational relations between three categories of entities: individuals, universals, and collections. We deal with a variety of relations between entities in these categories, including the is-a relation among universals and the part-of relation among individuals as well as cross-category relations such as instance-of, member-of, and partition-of. We show that an adequate understanding of the formal properties of such relations – in particular their behavior with respect to time – is critical (...) for formal ontology. We provide examples to support this thesis from the domain of biomedicine. (shrink)

Medical terminology collects and organizes the many different kinds of terms employed in the biomedical domain both by practitioners and also in the course of biomedical research. In addition to serving as labels for biomedical classes, these names reflect the organizational principles of biomedical vocabularies and ontologies. Some names represent invariant features (classes, universals) of biomedical reality (i.e., they are a matter for ontology). Other names, however, convey also how this reality is perceived, measured, and understood by health professionals (i.e., (...) they belong to the domain of epistemology). We analyze terms from several biomedical vocabularies in order to throw light on the interactions between ontological and epistemological components of these terminologies. We identify four cases: 1) terms containing classification criteria, 2) terms reflecting detectability, modality, uncertainty, and vagueness, 3) terms created in order to obtain a complete partition of a given domain, and 4) terms reflecting mere fiat boundaries. We show that epistemology-loaded terms are pervasive in biomedical vocabularies, that the “classes” they name often do not comply with sound classification principles, and that they are therefore likely to cause problems in the evolution and alignment of terminologies and associated ontologies. (shrink)

For much of the first fifty years of its existence, analytic philosophy shunned discussions of normativity and ethics. Ethical statements were considered as pseudo-propositions, or as expressions of pro- or con-attitudes of minor theoretical significance. Nowadays, in contrast, prominent analytic philosophers pay close attention to normative problems. Here we focus our attention on the work of Searle, at the same time drawing out an important connection between Searle’s work and that of two other seminal figures in this development: H.L.A. Hart (...) and John Rawls. We show that all three thinkers tend to assume that there is but one type of normativity within the realm of social institutions – roughly, the sort of normativity that is involved in following the results of chess – and that they thereby neglect features that are of crucial significance for an adequate understanding of social reality. (shrink)

This paper addresses the use of dispositions in the Infectious Disease Ontology (IDO). IDO is an ontology constructed according to the principles of the Open Biomedical Ontology (OBO) Foundry and uses the Basic Formal Ontology (BFO) as an upper ontology. After providing a brief introduction to disposition types in BFO and IDO, we discuss three general techniques for representing combinations of dispositions under the headings blocking dispositions, complementary dispositions, and collective dispositions. Motivating examples for each combination of dispositions is given (...) along with a specific use case in IDO. Description logic restrictions are used to formalize statements relating to these combinations. (shrink)

A number of logicians and philosophers have turned their attention in recent years to the problem of developing a logic of interrogatives. Their work has thrown a great deal of light on the formal properties of questions and question-sentences and has led also to interesting innovations in our understanding of the structures of performatives in general and, for example, in the theory of presuppositions. When, however, we examine the attempts of logicians such as Belnap or Åqvist to specify what, precisely, (...) a question is, or what it is to ask or raise a question, then what we are offered is somewhat less illuminating. Two alternative reductionist accounts seem in particular to have gained most favor: questions are identified either as special sorts of statements, or as special sorts of requests. As we hope will become clear in what follows, neither of these accounts is even nearly adequate; and matters are not improved if questions are identified, by force majeure, as combinations of statements and requests. (shrink)

Electronic Health Records (EHRs) are organized around two kinds of statements: those reporting observations made, and those reporting acts performed. In neither case does the record involve any direct reference to what such statements are actually about. They record not: what is happening on the side of the patient, but rather: what is said about what is happening. While the need for a unique patient identifier is generally recognized, we argue that we should now move to an EHR regime in (...) which all clinically salient particulars – from the concrete disorder on the side of the patient and the body parts in which it occurs to the concrete treatments given – should be uniquely identified. This will allow us to achieve interoperability among different systems of records at the level where it really matters: in regard to what is happening in the real world. It will also allow us to keep track of particular disorders and of the effects of particular treatments in a precise and unambiguous way. We discuss the ontological and epistemological aspects of our claim and describe a scenario for implementation within EHR systems. (shrink)

We propose an ontological theory that is powerful enough to describe both complex spatio-temporal processes and the enduring entities that participate therein. For this purpose we introduce the notion a directly depicting ontology. Directly depicting ontologies are based on relatively simple languages and fall into two major categories: ontologies of type SPAN and ontologies of type SNAP. These represent two complementary perspectives on reality and employ distinct though compatible systems of categories. A SNAP (snapshot) ontology comprehends enduring entities such as (...) organisms, geographic features, or qualities as they exist at some given moment of time. A SPAN ontology comprehends perduring entities such as processes and their parts and aggregates as they unfold themselves through some temporal interval. We give an axiomatic account of the theory of directly depicting ontologies and of the core parts of the metaontological fragment within which they are embedded. (shrink)

The goal of the OBO (Open Biomedical Ontologies) Foundry initiative is to create and maintain an evolving collection of non-overlapping interoperable ontologies that will offer unambiguous representations of the types of entities in biological and biomedical reality. These ontologies are designed to serve non-redundant annotation of data and scientific text. To achieve these ends, the Foundry imposes strict requirements upon the ontologies eligible for inclusion. While these requirements are not met by most existing biomedical terminologies, the latter may nonetheless support (...) the Foundry’s goal of consistent and non-redundant annotation if appropriate mappings of data annotated with their aid can be achieved. To construct such mappings in reliable fashion, however, it is necessary to analyze terminological resources from an ontologically realistic perspective in such a way as to identify the exact import of the ‘concepts’ and associated terms which they contain. We propose a framework for such analysis that is designed to maximize the degree to which legacy terminologies and the data coded with their aid can be successfully used for information-driven clinical and translational research. (shrink)