Search results for 'Semantic Information' (try it on Scholar)

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  1. Simon D'Alfonso (2011). On Quantifying Semantic Information. Information 2 (1):61-101.score: 246.0
    The purpose of this paper is to look at some existing methods of semantic information quantification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s theory of strongly semantic information. The latter then serves to initiate an in-depth investigation into the idea of utilising the notion of truthlikeness to quantify semantic information. Firstly, a couple of approaches to (...)
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  2. Gustavo Cevolani (2011). Strongly Semantic Information and Verisimilitude. Etica and Politica / Ethics and Politics (2):159-179.score: 240.0
    In The Philosophy of Information, Luciano Floridi presents a theory of “strongly semantic information”, based on the idea that “information encapsulates truth” (the so-called “veridicality thesis”). Starting with Popper, philosophers of science have developed different explications of the notion of verisimilitude or truthlikeness, construed as a combination of truth and information. Thus, the theory of strongly semantic information and the theory of verisimilitude are intimately tied. Yet, with few exceptions, this link has virtually (...)
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  3. Patrick Allo (2007). Logical Pluralism and Semantic Information. Journal of Philosophical Logic 36 (6):659 - 694.score: 240.0
    Up to now theories of semantic information have implicitly relied on logical monism, or the view that there is one true logic. The latter position has been explicitly challenged by logical pluralists. Adopting an unbiased attitude in the philosophy of information, we take a suggestion from Beall and Restall at heart and exploit logical pluralism to recognise another kind of pluralism. The latter is called informational pluralism, a thesis whose implications for a theory of semantic (...) we explore. (shrink)
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  4. Orlin Vakarelov (2010). Pre-Cognitive Semantic Information. Knowledge, Technology & Policy 23 (2):193-226.score: 240.0
    This paper addresses one of the fundamental problems of the philosophy of information: How does semantic information emerge within the underlying dynamics of the world?—the dynamical semantic information problem. It suggests that the canonical approach to semantic information that defines data before meaning and meaning before use is inadequate for pre-cognitive information media. Instead, we should follow a pragmatic approach to information where one defines the notion of information system as (...)
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  5. Luciano Floridi (2012). Semantic Information and the Network Theory of Account. Synthese 184 (3):431-454.score: 240.0
    The article addresses the problem of how semantic information can be upgraded to knowledge. The introductory section explains the technical terminology and the relevant background. Section 2 argues that, for semantic information to be upgraded to knowledge, it is necessary and sufficient to be embedded in a network of questions and answers that correctly accounts for it. Section 3 shows that an information flow network of type A fulfils such a requirement, by warranting that the (...)
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  6. Luciano Floridi (2004). Outline of a Theory of Strongly Semantic Information. Minds and Machines 14 (2):197-221.score: 240.0
    This paper outlines a quantitative theory of strongly semantic information (TSSI) based on truth-values rather than probability distributions. The main hypothesis supported in the paper is that the classic quantitative theory of weakly semantic information (TWSI), based on probability distributions, assumes that truth-values supervene on factual semantic information, yet this principle is too weak and generates a well-known semantic paradox, whereas TSSI, according to which factual semantic information encapsulates truth, can avoid (...)
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  7. Orlin Vakarelov (2013). From Interface to Correspondence: Recovering Classical Representations in a Pragmatic Theory of Semantic Information. [REVIEW] Minds and Machines (3):1-25.score: 240.0
    One major fault line in foundational theories of cognition is between the so-called “representational” and “non-representational” theories. Is it possible to formulate an intermediate approach for a foundational theory of cognition by defining a conception of representation that may bridge the fault line? Such an account of representation, as well as an account of correspondence semantics, is offered here. The account extends previously developed agent-based pragmatic theories of semantic information, where meaning of an information state is defined (...)
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  8. Pieter Adriaans (2010). A Critical Analysis of Floridi’s Theory of Semantic Information. Knowledge, Technology and Policy 23 (1-2):41-56.score: 240.0
    n various publications over the past years, Floridi has developed a theory of semantic information as well-formed, meaningful, and truthful data. This theory is more or less orthogonal to the standard entropy-based notions of information known from physics, information theory, and computer science that all define the amount of information in a certain system as a scalar value without any direct semantic implication. In this context the question rises what the exact relation between these (...)
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  9. Bruce Raymond Long (forthcoming). Information is Intrinsically Semantic but Alethically Neutral. Synthese:1-21.score: 210.0
    In this paper I argue that, according to a particular physicalist conception of information, information is both alethically neutral or non-alethic, and is intrinsically semantic. The conception of information presented is physicalist and reductionist, and is contrary to most current pluralist and non-reductionist philosophical opinion about the nature of information. The ontology assumed for this conception of information is based upon physicalist non-eliminative ontic structural realism. However, the argument of primary interest is that (...) so construed is intrinsically semantic on a reductionist and non-alethic basis where semantic content is constituted by indication along causal pathways. Similar arguments have been presented by philosophers with respect to representation. I suggest the conception of information that I present is correct by the lights of the best applied mathematical and scientific theories of information. If so, there is no need for any separate theory of semantic information. Thus I present a theory of intrinsically semantic information which also constitutes an informational theory of truth where truth reduces to information. In the last section I discuss weakly and strongly semantic information, and reject them in favour of alethically neutral intrinsically semantic information. (shrink)
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  10. Luciano Floridi (2005). Is Semantic Information Meaningful Data? Philosophy and Phenomenological Research 70 (2):351-370.score: 204.0
    There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI (...)
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  11. Luciano Floridi (2011). Semantic Information and the Correctness Theory of Truth. Erkenntnis 74 (2):147-175.score: 180.0
    Semantic information is usually supposed to satisfy the veridicality thesis: p qualifies as semantic information only if p is true. However, what it means for semantic information to be true is often left implicit, with correspondentist interpretations representing the most popular, default option. The article develops an alternative approach, namely a correctness theory of truth (CTT) for semantic information. This is meant as a contribution not only to the philosophy of information (...)
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  12. Sebastian Sequoiah-Grayson (2012). Giovanni Sommaruga (Ed): Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information. [REVIEW] Minds and Machines 22 (1):35-40.score: 180.0
    Giovanni Sommaruga (ed): Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information Content Type Journal Article Pages 35-40 DOI 10.1007/s11023-011-9250-2 Authors Sebastian Sequoiah-Grayson, Department of Theoretical Philosophy, Faculty of Philosophy, University of Groningen, Groningen, The Netherlands Journal Minds and Machines Online ISSN 1572-8641 Print ISSN 0924-6495 Journal Volume Volume 22 Journal Issue Volume 22, Number 1.
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  13. Giuseppe Primiero (2011). Giovanni Sommaruga (Ed): Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information. [REVIEW] Minds and Machines 21 (1):119-122.score: 180.0
    Giovanni Sommaruga (ed): Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information Content Type Journal Article Pages 119-122 DOI 10.1007/s11023-011-9228-0 Authors Giuseppe Primiero, Centre for Logic and Philosophy of Science, University of Ghent, Blandijnberg 2, Ghent, 9000 Belgium Journal Minds and Machines Online ISSN 1572-8641 Print ISSN 0924-6495 Journal Volume Volume 21 Journal Issue Volume 21, Number 1.
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  14. Fergus I. Craik & Betty A. Levy (1970). Semantic and Acoustic Information in Primary Memory. Journal of Experimental Psychology 86 (1):77.score: 180.0
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  15. Marvin L. Minsky (ed.) (1968). Semantic Information Processing. MIT Press.score: 180.0
  16. Marcin J. Schroeder (2012). Search for Syllogistic Structure of Semantic Information. Journal of Applied Non-Classical Logics 22 (1-2):83-103.score: 174.0
    The study of information based on the approach of Shannon was detached from problems of meaning. Also, it did not allow analysis of the structural characteristics of information, nor describe the way structures carry information. An outline of a different theory of information, including its semantics, was earlier proposed by the author. This theory was using closure spaces to model information. In the present paper, structures (called syllogistics) underlying syllogistic reasoning as well as ethnoscientific classifications (...)
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  17. Friedemann Pulvermüller Natalia Egorova, Yury Shtyrov (2013). Early and Parallel Processing of Pragmatic and Semantic Information in Speech Acts: Neurophysiological Evidence. Frontiers in Human Neuroscience 7.score: 174.0
    Although language is a tool for communication, most research in the neuroscience of language has focused on studying words and sentences, while little is known about the brain mechanisms of speech acts, or communicative functions, for which words and sentences are used as tools. Here the neural processing of two types of speech acts, Naming and Requesting, was addressed using the time-resolved event-related potential (ERP) technique. The brain responses for Naming and Request diverged as early as ~120 ms after the (...)
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  18. David Burrows & Ronald Okada (1973). Parallel Scanning of Semantic and Formal Information. Journal of Experimental Psychology 97 (2):254.score: 168.0
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  19. Gina Rippon Fiona McNab, Arjan Hillebrand, Stephen J. Swithenby (2012). Combining Temporal and Spectral Information with Spatial Mapping to Identify Differences Between Phonological and Semantic Networks: A Magnetoencephalographic Approach. Frontiers in Psychology 3.score: 156.0
    Early, lesion-based models of language processing suggested that semantic and phonological processes are associated with distinct temporal and parietal regions respectively, with frontal areas more indirectly involved. Contemporary spatial brain mapping techniques have not supported such clear-cut segregation, with strong evidence of activation in left temporal areas by both processes and disputed evidence of involvement of frontal areas in both processes. We suggest that combining spatial information with temporal and spectral data may allow a closer scrutiny of the (...)
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  20. E. Mena, V. Kashyap, A. Illarramendi & A. Sheth (1998). Domain Specific Ontologies for Semantic Information Brokering on the Global Information Infrastructure. In Nicola Guarino (ed.), Formal Ontology in Information Systems. Ios Press. 269-283.score: 156.0
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  21. Geoff Barnbrook, Pernilla Danielsson & Michaela Mahlberg (eds.) (2006). Meaningful Texts: The Extraction of Semantic Information From Monolingual and Multilingual Corpora. Continuum.score: 154.0
    This book reflects the growing influence of corpus linguistics in a variety of areas such as lexicography, translation studies, genre analysis, and language ...
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  22. Sebastian Padó (2007). Cross-Lingual Annotation Projection Models for Role-Semantic Information. Saarland University.score: 154.0
     
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  23. Anatoli Strigin (1994). Topicalization, Scrambling, and Argument Scope in German: Integrating Semantic and Syntactic Information. Journal of Semantics 11 (4):311-363.score: 152.0
    The paper proposes an explanation of some argument scope phenomena in German in terms of interaction of syntactic and semantic information. On the assumption that lexical semantics of a verb induces a hierarchical ordering on its arguments, it is proposed that this hierarchy together with the mapping of the hierarchy to syntactic structure define a basic scope configuration. The mapping is controlled both by syntactic and by semantic information. Another hypothesis proposes that changes in the syntactic (...)
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  24. Yehoshua Bar-Hillel & Rudolf Carnap (1953). Semantic Information. British Journal for the Philosophy of Science 4 (14):147-157.score: 150.0
  25. Radu J. Bogdan (1988). Information and Semantic Cognition: An Ontological Account. Mind and Language 3 (2):81-122.score: 150.0
    Information is the fuel of cognition. At its most basic level, information is a matter of structures interacting under laws. The notion of information thus reflects the (relational) fact that a structure is created by the impact of another structure. The impacted structure is an encoding, in some concrete form, of the interaction with the impacting structure. Information is, essentially, the structural trace in some system of an interaction with another system; it is also, as a (...)
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  26. Piero Pagliani (1997). Information Gaps as Communication Needs: A New Semantic Foundation for Some Non-Classical Logics. [REVIEW] Journal of Logic, Language and Information 6 (1):63-99.score: 150.0
    Semantics connected to some information based metaphor are well-known in logic literature: a paradigmatic example is Kripke semantic for Intuitionistic Logic. In this paper we start from the concrete problem of providing suitable logic-algebraic models for the calculus of attribute dependencies in Formal Contexts with information gaps and we obtain an intuitive model based on the notion of passage of information showing that Kleene algebras, semi-simple Nelson algebras, three-valued ukasiewicz algebras and Post algebras of order three (...)
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  27. Jack Wilson (2002). No Patents for Semantic Information. American Journal of Bioethics 2 (3):15 – 16.score: 150.0
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  28. Michael Lebowitz (1986). Semantic Information: Inference Rules + Memory. Behavioral and Brain Sciences 9 (1):147.score: 150.0
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  29. Chia-Chien Wu, Farahnaz Ahmed Wick & Marc Pomplun (2014). Guidance of Visual Attention by Semantic Information in Real-World Scenes. Frontiers in Psychology 5.score: 150.0
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  30. Peter Elias (1954). Review: Rudolf Carnap, Yehoshua Bar-Hillel, An Outline of a Theory of Semantic Information. [REVIEW] Journal of Symbolic Logic 19 (3):230-232.score: 150.0
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  31. Luciano Floridi (2007). In Defence of the Veridical Nature of Semantic Information. European Journal of Analytic Philosophy 3 (1):0-0.score: 150.0
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  32. Jaakko Hintikka (1970). On Semantic Information. In Hermann Bondi, Wolfgang Yourgrau & Allen duPont Breck (eds.), Physics, Logic, and History. New York,Plenum Press. 147--172.score: 150.0
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  33. Geoffrey Beattie & Heather Shovelton (1999). Do Iconic Hand Gestures Really Contribute Anything to the Semantic Information Conveyed by Speech? An Experimental Investigation. Semiotica 123 (1-2):1-30.score: 150.0
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  34. Sa Berger & Ds Gorfein (1992). Direct and Indirect Measures of Semantic Information Available From Masked Words. Bulletin of the Psychonomic Society 30 (6):465-465.score: 150.0
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  35. Javier Borge-Holthoefer & Alex Arenas (2009). Navigating Word Association Norms to Extract Semantic Information. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. 621--2777.score: 150.0
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  36. Stephen F. Bush (forthcoming). Reasoning About Information Assurance Policy with Uncertainty Using the Semantic Web. Annual Symposium on Information Assurance:1--7.score: 150.0
    This is a brief letter outlining speculative ideas for semantic web reasoning about information assurance. Much work has been done on the development of semantic web applications for reasoning about information assurance. A significant portion of this work is focused upon semantic web ontologies and reasoning about security policies and the underlying implementation of those policies. While numerous semantic web-based security policy ontologies and reasoners exist, both academically and commercially, I will briefly focus on (...)
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  37. L. Columbo & J. Williams (1987). Processing of Semantic Information. Bulletin of the Psychonomic Society 25 (5):335-335.score: 150.0
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  38. Artur Machlarz (2011). On General Definition of the Notion of Semantic Information. Filozofia Nauki 19 (1):71.score: 150.0
     
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  39. Cw Mcintyre, Cp Gancarz, Cj Ptacek & La Nix (1992). Are Both Nonsemantic and Semantic Information Processed From an Icon. Bulletin of the Psychonomic Society 30 (6):469-469.score: 150.0
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  40. M. B. M. (1970). Semantic Information Processing. Review of Metaphysics 24 (2):353-353.score: 150.0
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  41. Tokuyuki Okubo (1969). On the Theory of Semantic Information Based on the SNK Language System. Kagaku Tetsugaku 2:19-36.score: 150.0
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  42. Cristina Romani & Randi Martin (1999). A Deficit in the Short-Term Retention of Lexical-Semantic Information: Forgetting Words but Remembering a Story. Journal of Experimental Psychology: General 128 (1):56.score: 150.0
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  43. Hansjakob Seiler (1970). Semantic Information in Grammar: The Problem of Syntactic Relations. Semiotica 2 (4).score: 150.0
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  44. N. E. Wetherick (1976). Semantic Information in Short-Term Memory: Effects of Presenting Recall Instructions After the List. Bulletin of the Psychonomic Society 8 (2):79-81.score: 150.0
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  45. Marty J. Wolf (2011). Analysis, Clarification and Extension of the Theory of Strongly Semantic Information. Etica and Politica / Ethics and Politics (2):246-254.score: 150.0
  46. A. W. Young, D. C. Hay & A. W. Ellis (1986). Getting Semantic Information From Familiar Faces. In H. Ellis, M. Jeeves, F. Newcombe & Andrew W. Young (eds.), Aspects of Face Processing. Martinus Nijhoff. 123--135.score: 150.0
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  47. Kenneth A. Taylor (1987). Belief, Information and Semantic Content: A Naturalist's Lament. Synthese 71 (April):97-124.score: 144.0
  48. Luciano Floridi (forthcoming). Information, Semantic Conceptions Of. Stanford Encyclopedia of Philosophy. Http://Plato. Stanford. Edu/Entries/Information-Semantic.score: 144.0
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  49. Gordana Dodig-Crnkovic, Semantics of Information as Interactive Computation. Proceedings of the Fifth International Workshop on Philosophy and Informatics 2008.score: 132.0
    Computers today are not only the calculation tools - they are directly (inter)acting in the physical world which itself may be conceived of as the universal computer (Zuse, Fredkin, Wolfram, Chaitin, Lloyd). In expanding its domains from abstract logical symbol manipulation to physical embedded and networked devices, computing goes beyond Church-Turing limit (Copeland, Siegelman, Burgin, Schachter). Computational processes are distributed, reactive, interactive, agent-based and concurrent. The main criterion of success of computation is not its termination, but the adequacy of its (...)
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  50. Elizabeth F. Loftus & William Cole (1974). Retrieving Attribute and Name Information From Semantic Memory. Journal of Experimental Psychology 102 (6):1116.score: 132.0
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