Results for 'Cyc'

18 found
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  1. Integrating Cyc and Wikipedia: Folksonomy meets rigorously defined common-sense.Olena Medelyan & Catherine Legg - 2008 - Proceedings of Wikipedia and AI Workshop at the AAAI-08 Conference. Chicago, US, July 12 2008.
    Integration of ontologies begins with establishing mappings between their concept entries. We map categories from the largest manually-built ontology, Cyc, onto Wikipedia articles describing corresponding concepts. Our method draws both on Wikipedia’s rich but chaotic hyperlink structure and Cyc’s carefully defined taxonomic and common-sense knowledge. On 9,333 manual alignments by one person, we achieve an F-measure of 90%; on 100 alignments by six human subjects the average agreement of the method with the subject is close to their agreement with each (...)
     
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  2. Cyc: A case study in ontological engineering.J. B. Copeland - 1997 - Electronic Journal of Analytic Philosophy 5.
     
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  3. Discussion: CYC: A Case Study in Ontological Engineering.B. J. Copeland - 1997 - Electronic Journal of Analytic Philosophy 5.
     
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  4.  55
    “All you can eat” ontology-building: Feeding Wikipedia to Cyc.Samuel Sarjant, Catherine Legg, Olena Medelyan & Michael Robinson - 2009 - IEEE/WIC/ACM International Conference on Web Intelligence (WI-09), 15 – 18 September 2009 Università Degli Studi di Milano Bicocca, Milano, Italy.
    In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have shown that manual ontology-building is not practicable. The recent explosion of free user-supplied knowledge on the Web has led to great strides in automatic ontology building, but quality-control is still a major issue. Ideally one should automatically build onto an already intelligent base. We suggest that the long-running Cyc project is able to assist here. (...)
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  5.  7
    Building large knowledge-based systems: Representation and inference in the cyc project.Charles Elkan & Russell Greiner - 1993 - Artificial Intelligence 61 (1):41-52.
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    Building large knowledge-based systems: Representation and inference in the cyc project.Douglas Skuce - 1993 - Artificial Intelligence 61 (1):81-94.
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  7.  1
    Building large knowledge-based systems: Representation and inference in the cyc project.John F. Sowa - 1993 - Artificial Intelligence 61 (1):95-104.
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    Building large knowledge-based systems: Representation and inference in the cyc project.Drew McDermott - 1993 - Artificial Intelligence 61 (1):53-63.
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    Building large knowledge-based systems: Representation and inference in the cyc project.Robert Neches - 1993 - Artificial Intelligence 61 (1):65-79.
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  10. Bill Gates is not a parking meter: Philosophical quality control in automated ontology building.Catherine Legg & Samuel Sarjant - 2012 - Proceedings of the Symposium on Computational Philosophy, AISB/IACAP World Congress 2012 (Birmingham, England, July 2-6).
    The somewhat old-fashioned concept of philosophical categories is revived and put to work in automated ontology building. We describe a project harvesting knowledge from Wikipedia’s category network in which the principled ontological structure of Cyc was leveraged to furnish an extra layer of accuracy-checking over and above more usual corrections which draw on automated measures of semantic relatedness.
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  11.  27
    Floral zygomorphy, the recurring evolution of a successful trait.Pilar Cubas - 2004 - Bioessays 26 (11):1175-1184.
    The flowers of the primitive angiosperm plants were radially symmetrical (actinomorphic). Flowers with bilateral symmetry (zygomorphic) evolved in several clades independently as an adaptation to specialized methods of pollination and played an important role in the diversification of flowering plants. In the model species Antirrhinum majus (snapdragon), the related genes CYCLOIDEA (CYC) and DICHOTOMA (DICH) are key in the development of this trait. This raises the question of whether they played a role in the evolution of floral bilateral symmetry. To (...)
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    Mid-sized axiomatizations of commonsense problems: A case study in egg cracking.Leora Morgenstern - 2001 - Studia Logica 67 (3):333-384.
    We present an axiomatization of a problem in commonsense reasoning, characterizing the proper procedure for cracking an egg and transferring its contents to a bowl. The axiomatization is mid-sized, larger than toy problems such as the Yale Shooting Problem or the Suitcase Problem, but much smaller than the comprehensive axiomatizations associated with CYC and HPKB. This size of axiomatization permits the development of non-trivial, reusable core theories of commonsense reasoning, acts as a testbed for existing theories of commonsense reasoning, and (...)
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  13. Deleting the subject: A feminist reading of epistemology in artificial intelligence.Alison Adam - 2000 - Minds and Machines 10 (2):231-253.
    This paper argues that AI follows classical versions of epistemology in assuming that the identity of the knowing subject is not important. In other words this serves to `delete the subject''. This disguises an implicit hierarchy of knowers involved in the representation of knowledge in AI which privileges the perspective of those who design and build the systems over alternative perspectives. The privileged position reflects Western, professional masculinity. Alternative perspectives, denied a voice, belong to less powerful groups including women. Feminist (...)
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  14.  67
    Ontology for information systems: artefacts as a case study.Massimiliano Carrara & Marzia Soavi - 2008 - Mind and Society 7 (2):143-156.
    The goal of the paper is to analyse some specific features of a very central concept for top-level ontologies for information systems: i.e. the concept of artefact. Specifically, we analyse the relation to be a copy of that is strongly linked to the notion of artefact and—as we will demonstrate—could be useful to distinguish artefacts from objects of other kinds. Firstly, we outline some intuitive and commonsensical reasons for the need of a clarification of the notion of artefact in ontologies (...)
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    Bity i byty. O pewnym mało znanym zastosowaniu ontologii.Paweł Garbacz - 2007 - Filozofia Nauki 3 (59):121--140.
    In this paper we are focused on the relation between an Ontology (with the capital "O") qua philosophical discipline and an ontology (with the lowercase "o") qua branch of Computer Science. In our view "Ontology" refers to all philosophical groups or schools which take some position on the reality. The meaning of 'ontology' in the second case is not that easy to grasp because of the variety of artefacts which are called 'ontologies' and many activities - aiming at creating the (...)
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  16. A metaphysical approach to the mind.Susan Stuart - 2003 - Phenomenology and the Cognitive Sciences 2 (3):223-37.
    It is argued that, based on Kant's descriptive metaphysics, one can prescribe the necessary metaphysical underpinnings for the possibility of conscious experience in an artificial system. This project is developed by giving an account of the a priori concepts of the understanding in such a system. A specification and implementation of the nomological conditions for a conscious system allows one to know a priori that any system possessing this structure will be conscious; thus enabling us to avoid possible false-indicators of (...)
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    A metaphysical approach to the mind.Susan Stuart - 2003 - Phenomenology and the Cognitive Sciences 2 (3):223-237.
    It is argued that, based on Kant's descriptive metaphysics, one can prescribe the necessary metaphysical underpinnings for the possibility of conscious experience in an artificial system. This project is developed by giving an account of the a priori concepts of the understanding in such a system. A specification and implementation of the nomological conditions for a conscious system allows one to know a priori that any system possessing this structure will be conscious; thus enabling us to avoid possible false-indicators of (...)
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  18.  7
    Lenaťs creativity.Andrew Swann - 1993 - Pragmatics and Cognition 1 (1):149-160.
    Lenat has come to the conclusion that his celebrated computer programs, AM and Eurisko, despite impressive achievements, ultimately f ail as creative discovery systems. The paper discusses Lenaťs various attempts to model sustainable creative intelligence, primarily within the paradigm of symbolic processing. Lenaťs current approach requires a larger knowledge base than that of his previous efforts, and in fact Lenat hopes that his new system, Cyc, will have achieved a human breadth and depth of knowledge in the relatively near future. (...)
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