Results for 'Semi-formal domains'

999 found
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  1.  37
    Two approaches to developing expert systems: A consideration of formal and semi-formal domains[REVIEW]Edgar A. Whitley - 1991 - AI and Society 5 (2):110-127.
    The conventional approach to developing expert systems views the domain of application as being “formally defined”. This view often leads to practical problems when expert systems are built using this approach. This paper examines the implications and problems of the formal approach to expert system design and proposes an alternative approach based on the concept of semi-formal domains. This approach, which draws on the work of socio-technical information systems, provides guidelines which can be used for the (...)
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  2.  26
    Arguing about causes in law: a semi-formal framework for causal arguments.Rūta Liepiņa, Giovanni Sartor & Adam Wyner - 2020 - Artificial Intelligence and Law 28 (1):69-89.
    Disputes over causes play a central role in legal argumentation and liability attribution. Legal approaches to causation often struggle to capture cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. In this paper, we first assess three current theories of causation to illustrate their strengths and weaknesses in capturing cause-in-fact. Secondly, we introduce a semi-formal framework for modelling causal arguments through strict and defeasible rules. Thirdly, the framework is applied to the Althen vaccine injury case. And lastly, we discuss (...)
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  3.  16
    Arguing about causes in law: a semi-formal framework for causal arguments.Rūta Liepiņa, Giovanni Sartor & Adam Wyner - 2020 - Artificial Intelligence and Law 28 (1):69-89.
    Disputes over causes play a central role in legal argumentation and liability attribution. Legal approaches to causation often struggle to capture cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. In this paper, we first assess three current theories of causation to illustrate their strengths and weaknesses in capturing cause-in-fact. Secondly, we introduce a semi-formal framework for modelling causal arguments through strict and defeasible rules. Thirdly, the framework is applied to the Althen vaccine injury case. And lastly, we discuss (...)
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  4.  25
    Arguing about causes in law: a semi-formal framework for causal arguments.Rūta Liepiņa, Giovanni Sartor & Adam Wyner - 2020 - Artificial Intelligence and Law 28 (1):69-89.
    Disputes over causes play a central role in legal argumentation and liability attribution. Legal approaches to causation often struggle to capture cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. In this paper, we first assess three current theories of causation to illustrate their strengths and weaknesses in capturing cause-in-fact. Secondly, we introduce a semi-formal framework for modelling causal arguments through strict and defeasible rules. Thirdly, the framework is applied to the Althen vaccine injury case. And lastly, we discuss (...)
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  5. Coordination Produces Cognitive Niches, not just Experiences: A Semi-Formal Constructivist Ontology Based on von Foerster.Konrad Werner - 2017 - Constructivist Foundations 12 (3):292-299.
    Context: Von Foerster’s concept of eigenbehavior can be recognized against the broader context of enactivism as it has been advocated by Varela, Thompson and Rosch, by Noë and recently by Hutto and Myin, among others. This flourishing constellation of ideas is on its way to becoming the new paradigm of cognitive science. However, in my reading, enactivism, putting stress on the constitutive role of action when it comes to mind and perception, faces a serious philosophical challenge when attempting to account (...)
     
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  6.  30
    Nominalist’s Credo.James Henry Collin - unknown
    Introduction: I lay out the broad contours of my thesis: a defence of mathematical nominalism, and nominalism more generally. I discuss the possibility of metaphysics, and the relationship of nominalism to naturalism and pragmatism. Chapter 2: I delineate an account of abstractness. I then provide counter-arguments to claims that mathematical objects make a di erence to the concrete world, and claim that mathematical objects are abstract in the sense delineated. Chapter 3: I argue that the epistemological problem with abstract objects (...)
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  7. Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both?Massimo Poesio - 2005 - Applied ontology 1 (1):27-33.
     
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  8. Strengths and Limitations of Formal Ontologies in the Biomedical Domain.Barry Smith - 2009 - Electronic Journal of Communication, Information and Innovation in Health 3 (1):31-45.
    We propose a typology of representational artifacts for health care and life sciences domains and associate this typology with different kinds of formal ontology and logic, drawing conclusions as to the strengths and limitations for ontology in a description logics framework. The four types of domain representation we consider are: (i) lexico-semantic representation, (ii) representation of types of entities, (iii) representations of background knowledge, and (iv) representation of individuals. We advocate a clear distinction of the four kinds of (...)
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  9.  2
    Formal Characteristics of the Domain of Considerations as a Basis of the Subject Index.Witold Marciszewski - 1972 - Studia Semiotyczne—English Supplement 3:78-98.
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  10. Certainty and Domain-Independence in the Sciences of Complexity: a Critique of James Franklin's Account of Formal Science.Kevin de Laplante - 1999 - Studies in History and Philosophy of Science Part A 30 (4):699-720.
    James Franklin has argued that the formal, mathematical sciences of complexity — network theory, information theory, game theory, control theory, etc. — have a methodology that is different from the methodology of the natural sciences, and which can result in a knowledge of physical systems that has the epistemic character of deductive mathematical knowledge. I evaluate Franklin’s arguments in light of realistic examples of mathematical modelling and conclude that, in general, the formal sciences are no more able to (...)
     
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  11.  72
    Structure and domain-independence in the formal sciences.James Franklin - 1999 - Studies in History and Philosophy of Science Part A 30:721-723.
    Replies to Kevin de Laplante’s ‘Certainty and Domain-Independence in the Sciences of Complexity’ (de Laplante, 1999), defending the thesis of J. Franklin, ‘The formal sciences discover the philosophers’ stone’, Studies in History and Philosophy of Science, 25 (1994), 513-33, that the sciences of complexity can combine certain knowledge with direct applicability to reality.
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  12. 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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  13. Domain Extension and Ideal Elements in Mathematics†.Anna Bellomo - 2021 - Philosophia Mathematica 29 (3):366-391.
    Domain extension in mathematics occurs whenever a given mathematical domain is augmented so as to include new elements. Manders argues that the advantages of important cases of domain extension are captured by the model-theoretic notions of existential closure and model completion. In the specific case of domain extension via ideal elements, I argue, Manders’s proposed explanation does not suffice. I then develop and formalize a different approach to domain extension based on Dedekind’s Habilitationsrede, to which Manders’s account is compared. I (...)
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  14.  38
    A Note On Formal Reasoning with Extensible Domain.Laureano Luna - 2009 - The Reasoner 3 (7):5-6.
    Assuming the indefinite extensibility of any domain of quantification leads to reasoning with extensible domain semantics. It is showed that some theorems (e.g. Thomson's) in conventional semantics logic are not theorems in a logic provided with this new semantics.
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  15. Sources of Domain-Independence in the Formal Sciences.Kevin de Laplante - unknown
    Any discussion of the concept of “formal science” must acknowledge that the term is used in different ways, for different purposes, by different people. For some, the formal sciences are defined by the exclusive use of deductive methods for discovering, or reasoning about, the properties of formal, abstract systems. On this view, the formal sciences are synonymous with mathematics, formal logic, and certain branches of linguistics and computer science that emphasize the study of formal (...)
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  16.  53
    Theory structuralism in a rigid framework.Christian Damböck - 2012 - Synthese 187 (2):693-713.
    This paper develops the first parts of a logical framework for the empirical sciences, by means of a redefinition of theory structuralism as originally developed by Joseph Sneed, Wolfgang Stegmüller, and others, in the context of a ‘rigid’ logic as based on a fixed (therefore rigid) ontology. The paper defends a formal conception of the empirical sciences that has an irreducible ontological basis and is unable, in general, to provide purely structural characterizations of the domain of a theory. The (...)
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  17.  5
    Strategies for the Semi-Automatic Retrieval of Metaphorical Terms.José Manuel Ureña Gómez-Moreno & Pamela Faber - 2010 - Metaphor and Symbol 26 (1):23-52.
    This article proposes a method for the semi-automatic extraction of resemblance metaphor terms from a manually annotated corpus of marine biology texts in English and Spanish. The corpus was first searched for target domain terms as well as for lexical markers indicative of metaphors. The combination of these search strategies for metaphor extraction resulted in a set of English-Spanish term pairs. After analysing and comparing these metaphor candidates, a quantitative analysis provided comparative statistical data regarding marine biology metaphor. Finally, (...)
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  18.  50
    Semi-Contraction: Axioms and Construction.Eduardo Fermé & Ricardo Rodriguez - 1998 - Notre Dame Journal of Formal Logic 39 (3):332-345.
    Semi-contraction is a withdrawal operation defined by Fermé in "On the logic of theory change: Contraction without recovery." In this paper we propose: (1) an axiomatic characterization of semi-contraction; (2) an alternative construction for semi-contraction based on semi-saturatable sets, inspired by Levi's saturatable sets; (3) a special kind of semi-contraction that satisfies the Lindström and Rabinowicz interpolation thesis.
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  19. Semi-sentences, semi-strings and semi-grammatical rules in prolog.Alejandro Sobrino, José Angel Olivas & Santiago Fernández - 1998 - Logica Trianguli: Logic in Łódź, Nantes, Santiago de Compostela 2:117.
    The aim of this work is to analyse the concept of semi-sentence from a linguistic, formal and computational point of view. A semi-sentence can be characterised as a sentence which, from a grammatical perspective, is neither absolutely correct nor incorrect . This study focuses on: - a characterisation of the semi-sentences in the setting of the grammar of a language. This study will help to analyse in depth the concept of grammaticality [3]; - the correlate of (...)
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  20.  50
    Formalizing context (expanded notes).John McCarthy & Sasa Buvac - 1998 - CSLI Lecture Notes 81:13-50.
    These notes discuss formalizing contexts as first class objects. The basic relationships are: ist(c,p) meaning that the proposition p is true in the context c, and value(c,p) designating the value of the term e in the context c Besides these, there are lifting formulas that relate the propositions and terms in subcontexts to possibly more general propositions and terms in the outer context. Subcontextx are often specialised with regard to time, place and terminology. Introducing contexts as formal objects will (...)
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  21.  17
    Semi-Isolation and the Strict Order Property.Sergey Sudoplatov & Predrag Tanović - 2015 - Notre Dame Journal of Formal Logic 56 (4):555-572.
    We study semi-isolation as a binary relation on the locus of a complete type and prove that—under some additional assumptions—it induces the strict order property.
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  22.  5
    L-domains as locally continuous sequent calculi.Longchun Wang & Qingguo Li - 2024 - Archive for Mathematical Logic 63 (3):405-425.
    Inspired by a framework of multi lingual sequent calculus, we introduce a formal logical system called locally continuous sequent calculus to represent _L_-domains. By considering the logic states defined on locally continuous sequent calculi, we show that the collection of all logic states of a locally continuous sequent calculus with respect to set inclusion forms an _L_-domain, and every _L_-domain can be obtained in this way. Moreover, we define conjunctive consequence relations as morphisms between our sequent calculi, and (...)
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  23.  69
    Formalization and the Meaning of “Theory” in the Inexact Biological Sciences.James Griesemer - 2013 - Biological Theory 7 (4):298-310.
    Exact sciences are described as sciences whose theories are formalized. These are contrasted to inexact sciences, whose theories are not formalized. Formalization is described as a broader category than mathematization, involving any form/content distinction allowing forms, e.g., as represented in theoretical models, to be studied independently of the empirical content of a subject-matter domain. Exactness is a practice depending on the use of theories to control subject-matter domains and to align theoretical with empirical models and not merely a state (...)
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  24.  85
    Domain-specific reasoning: Social contracts, cheating, and perspective change.Gerd Gigerenzer & Klaus Hug - 1992 - Cognition 43 (2):127-171.
    What counts as human rationality: reasoning processes that embody content-independent formal theories, such as propositional logic, or reasoning processes that are well designed for solving important adaptive problems? Most theories of human reasoning have been based on content-independent formal rationality, whereas adaptive reasoning, ecological or evolutionary, has been little explored. We elaborate and test an evolutionary approach, Cosmides' social contract theory, using the Wason selection task. In the first part, we disentangle the theoretical concept of a “social contract” (...)
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  25.  4
    Semi-Analytical Solutions for the Diffusive Kaldor–Kalecki Business Cycle Model with a Time Delay for Gross Product and Capital Stock.H. Y. Alfifi - 2021 - Complexity 2021:1-10.
    This paper discusses the stability and Hopf bifurcation analysis of the diffusive Kaldor–Kalecki model with a delay included in both gross product and capital stock functions. The reaction-diffusion domain is considered, and the Galerkin analytical method is used to derive the system of ordinary differential equations. The methodology used to determine the Hopf bifurcation points is discussed in detail. Furthermore, full diagrams of the Hopf bifurcation regions considered in the stability analysis are shown, and some numerical simulations of the limit (...)
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  26.  10
    Formal Logic (1847).Augustus De Morgan - 2018 - Franklin Classics.
    This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be (...)
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  27.  16
    Semi-intuitionistic set theory.Lawrence J. Pozsgay - 1972 - Notre Dame Journal of Formal Logic 13 (4):546-550.
  28.  77
    Formal Theology.Johan Gamper - manuscript
    Ontology and theology cannot be combined if ontology excludes non physical causes. This paper examines some possibilities for ontology to be combined with theology in so far as non physical causes are permitted. The paper builds on metaphysical findings that shows that separate ontological domains can interact causally indirectly via interfaces. As interfaces are not universes a first universe is allowed to be caused by an interface without violating the principle of causal closure of any universe. Formal theology (...)
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  29.  96
    Formal Ontology in Information Systems (FOIS).Barry Smith & Christopher Welty (eds.) - 2001 - ACM Press.
    Researchers in areas such as artificial intelligence, formal and computational linguistics, biomedical informatics, conceptual modeling, knowledge engineering and information retrieval have come to realise that a solid foundation for their research calls for serious work in ontology, understood as a general theory of the types of entities and relations that make up their respective domains of inquiry. In all these areas, attention is now being focused on the content of information rather than on just the formats and languages (...)
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  30.  8
    Semi-Boolean lattices.William C. Nemitz - 1969 - Notre Dame Journal of Formal Logic 10 (3):235-238.
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  31. Formal” Versus “Empirical” Approaches to Quantum–Classical Reduction.Joshua Rosaler - 2015 - Topoi 34 (2):325-338.
    I distinguish two types of reduction within the context of quantum-classical relations, which I designate “formal” and “empirical”. Formal reduction holds or fails to hold solely by virtue of the mathematical relationship between two theories; it is therefore a two-place, a priori relation between theories. Empirical reduction requires one theory to encompass the range of physical behaviors that are well-modeled in another theory; in a certain sense, it is a three-place, a posteriori relation connecting the theories and the (...)
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  32. 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 (...)
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  33.  10
    A semi-completeness theorem.Stephen L. Bloom - 1969 - Notre Dame Journal of Formal Logic 10 (3):303-308.
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  34. Building Ontologies with Basic Formal Ontology.Robert Arp, Barry Smith & Andrew D. Spear - 2015 - Cambridge, MA: MIT Press.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of (...)
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  35.  22
    Formal Theories of the Commonsense World.Jerry R. Hobbs & Robert C. Moore (eds.) - 1985 - Greenwood.
    This volume is a collection of original contributions about the core knowledge in fundamental domains. It includes work on naive physics, such as formal specifications of intuitive theories of spatial relations, time causality, substance and physical objects, and on naive psychology.
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  36.  12
    A semi-lattice theoretical characterization of associative Newman algebras.Bolesław Sobociński - 1972 - Notre Dame Journal of Formal Logic 13 (2):283-285.
  37. BFO: Basic Formal Ontology.J. Neil Otte, John Beverley & Alan Ruttenberg - 2022 - Applied ontology 17 (1):17-43.
    Basic Formal Ontology (BFO) is a top-level ontology consisting of thirty-six classes, designed to support information integration, retrieval, and analysis across all domains of scientific investigation, presently employed in over 350 ontology projects around the world. BFO is a genuine top-level ontology, containing no terms particular to material domains, such as physics, medicine, or psychology. In this paper, we demonstrate how a series of cases illustrating common types of change may be represented by universals, defined classes, and (...)
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  38.  27
    Formal Ontology in Information Systems.Nathalie Aussenac-Gilles, Antony P. Galton, Torsten Hahmann & Maria M. Hedblom - unknown
    FOIS is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization which promotes interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science. This book presents the papers delivered at FOIS 2023, the 13th edition of the Formal Ontology in Information Systems conference. The event was held as a sequentially-hybrid event, face-to-face in Sherbrooke, Canada, from 17 to 20 July 2023, and online from 18 to (...)
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  39.  41
    Domains of Sciences, Universes of Discourse and Omega Arguments.Jose M. Saguillo - 1999 - History and Philosophy of Logic 20 (3-4):267-290.
    Each science has its own domain of investigation, but one and the same science can be formalized in different languages with different universes of discourse. The concept of the domain of a science and the concept of the universe of discourse of a formalization of a science are distinct, although they often coincide in extension. In order to analyse the presuppositions and implications of choices of domain and universe, this article discusses the treatment of omega arguments in three very different (...)
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  40. Formal Methods in the Philosophy of Science.Leon Horsten & Igor Douven - 2008 - Studia Logica 89 (2):151-162.
    In this article, we reflect on the use of formal methods in the philosophy of science. These are taken to comprise not just methods from logic broadly conceived, but also from other formal disciplines such as probability theory, game theory, and graph theory. We explain how formal modelling in the philosophy of science can shed light on difficult problems in this domain.
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  41. The Domain of Tense.Carlota S. Smith - unknown
    The syntactic domain of tense is the clause: tense appears in some form in every clause of a tensed language. Semantic interpretation of tense requires information from context, however. This has been clear at least since Partee's 1984 demonstration of the anaphoric properties of tense. In this talk I will show that the facts about context are quite complex, perhaps more so than has been appreciated. There are three patterns of tense interpretation, depending on the type of discourse context in (...)
     
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  42.  2
    Semi-monotone series of ordinals.John L. Hickman - 1979 - Notre Dame Journal of Formal Logic 20 (1):196-200.
  43.  31
    Formal ontologies for communicating agents.Roberta Ferrario & Laurent Prévot - 2007 - Applied Ontology 2 (3):209-216.
    The growth of the Semantic Web resulted in the emergence of various kinds of artificial agents navigating the web, sharing resources and communicating among each other in a more and more sophisticated fashion. No one denies the relevance of research concerning the establishment of architectures and models for representing and enabling interaction and communication among agents. In another domain, ontologies have been consecrated as an essential tool to structure information in order to facilitate shareability and re-usability of knowledge resources like (...)
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  44.  17
    A formal theory for reasoning about parthood, connection, and location.Maureen Donnelly - 2004 - Artificial Intelligence 160 (1-2):145-172.
    In fields such as medicine, geography, and mechanics, spatial reasoning involves reasoning about entities that may coincide without overlapping. Some examples are: cavities and invading particles, passageways and valves, geographic regions and tropical storms. The purpose of this paper is to develop a formal theory of spatial relations for domains that include coincident entities. The core of the theory is a clear distinction between mereotopological relations, such as parthood and connection, and relative location relations, such as coincidence. To (...)
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  45.  28
    Domains and lambda-calculi.Roberto M. Amadio - 1998 - New York: Cambridge University Press. Edited by P.-L. Curien.
    This book describes the mathematical aspects of the semantics of programming languages. The main goals are to provide formal tools to assess the meaning of programming constructs in both a language-independent and a machine-independent way, and to prove properties about programs, such as whether they terminate, or whether their result is a solution of the problem they are supposed to solve. In order to achieve this the authors first present, in an elementary and unified way, the theory of certain (...)
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  46.  13
    Rumely Domains with Atomic Constructible Boolean Algebra. An Effective Viewpoint.Claude Sureson - 2007 - Notre Dame Journal of Formal Logic 48 (3):399-423.
    The archetypal Rumely domain is the ring \widetildeZ of algebraic integers. Its constructible Boolean algebra is atomless. We study here the opposite situation: Rumely domains whose constructible Boolean algebra is atomic. Recursive models (which are rings of algebraic numbers) are proposed; effective model-completeness and decidability of the corresponding theory are proved.
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  47. Basic Formal Ontology for bioinformatics.Barry Smith, Anand Kumar & Thomas Bittner - 2005 - IFOMIS Reports.
    Two senses of ‘ontology’ can be distinguished in the current literature. First is the sense favored by information scientists, who view ontologies as software implementations designed to capture in some formal way the consensus conceptualization shared by those working on information systems or databases in a given domain. [Gruber 1993] Second is the sense favored by philosophers, who regard ontologies as theories of different types of entities (objects, processes, relations, functions) [Smith 2003]. Where information systems ontologists seek to maximize (...)
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  48. A First-Order Logic Formalization of the Industrial Ontology Foundry Signature Using Basic Formal Ontology.Barry Smith, Farhad Ameri, Hyunmin Cheong, Dimitris Kiritsis, Dusan Sormaz, Chris Will & J. Neil Otte - 2019 - In Barry Smith, Farhad Ameri, Hyunmin Cheong, Dimitris Kiritsis, Dusan Sormaz, Chris Will & J. Neil Otte (eds.), ”, Proceedings of the Joint Ontology Workshops (JOWO), Graz.
    Basic Formal Ontology (BFO) is a top-level ontology used in hundreds of active projects in scientific and other domains. BFO has been selected to serve as top-level ontology in the Industrial Ontologies Foundry (IOF), an initiative to create a suite of ontologies to support digital manufacturing on the part of representatives from a number of branches of the advanced manufacturing industries. We here present a first draft set of axioms and definitions of an IOF upper ontology descending from (...)
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  49. Functions in Basic Formal Ontology.Andrew D. Spear, Werner Ceusters & Barry Smith - 2016 - Applied ontology 11 (2):103-128.
    The notion of function is indispensable to our understanding of distinctions such as that between being broken and being in working order (for artifacts) and between being diseased and being healthy (for organisms). A clear account of the ontology of functions and functioning is thus an important desideratum for any top-level ontology intended for application to domains such as engineering or medicine. The benefit of using top-level ontologies in applied ontology can only be realized when each of the categories (...)
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  50.  18
    Formal ontologies in biomedical knowledge representation.S. Schulz & L. Jansen - 2013 - In M.-C. Jaulent, C. U. Lehmann & B. Séroussi (eds.), Yearbook of Medical Informatics 8. pp. 132-146.
    Objectives: Medical decision support and other intelligent applications in the life sciences depend on increasing amounts of digital information. Knowledge bases as well as formal ontologies are being used to organize biomedical knowledge and data. However, these two kinds of artefacts are not always clearly distinguished. Whereas the popular RDF(S) standard provides an intuitive triple-based representation, it is semantically weak. Description logics based ontology languages like OWL-DL carry a clear-cut semantics, but they are computationally expensive, and they are often (...)
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