16,310 research outputs found

    A visual representation of part-whole relationships in BFO-conformant ontologies

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    In the visual representation of ontologies, in particular of part-whole relationships, it is customary to use graph theory as the representational background. We claim here that the standard graph-based approach has a number of limitations, and we propose instead a new representation of part-whole structures for ontologies, and describe the results of experiments designed to show the effectiveness of this new proposal especially as concerns reduction of visual complexity. The proposal is developed to serve visualization of ontologies conformant to the Basic Formal Ontology. But it can be used also for more general applications, particularly in the biomedical domain

    A diagrammatic representation for entities and mereotopological relations in ontologies

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    In the graphical representation of ontologies, it is customary to use graph theory as the representational background. We claim here that the standard graph-based approach has a number of limitations. We focus here on a problem in the graph-based representation of ontologies in complex domains such as biomedical, engineering and manufacturing: lack of mereotopological representation. Based on such limitation, we proposed a diagrammatic way to represent an entity’s structure and various forms of mereotopological relationships between the entities

    The Marshall Plan: History's Most Successful Structural Adjustment Program

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    The post-World War II reconstruction of Western Europe was one of the greatest economic policy and foreign policy successes of this century. "Folk wisdom" assigns a major role in successful reconstruction to the Marshall Plan: the program that transferred some $13 billion to Europe in the years 1948-51. We examine the economic effects of the Marshall Plan, and find that it was not large enough to have significantly accelerated recovery by financing investment, aiding the reconstruction of damaged infrastructure, or easing commodity bottlenecks. We argue, however, that the Marshall Plan did play a major role in setting the stage for post-World War II Western Europe's rapid growth. The conditions attached to Marshall Plan aid pushed European political economy in a direction that left its post World War II "mixed economies" with more "market" and less "controls" in the mix.

    Nonzero Classical Discord

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    Quantum discord is the quantitative difference between two alternative expressions for bipartite mutual information, given respectively in terms of two distinct definitions for the conditional entropy. By constructing a stochastic model of shared states, classical discord can be similarly defined, quantifying the presence of some stochasticity in the measurement process. Therefore, discord can generally be understood as a quantification of the system's state disturbance due to local measurements, be it quantum or classical. We establish an operational meaning of classical discord in the context of state merging with noisy measurement and thereby show the quantum-classical separation in terms of a negative conditional entropy.Comment: Replaced by the published versio

    Quantum Encodings in Spin Systems and Harmonic Oscillators

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    We show that higher-dimensional versions of qubits, or qudits, can be encoded into spin systems and into harmonic oscillators, yielding important advantages for quantum computation. Whereas qubit-based quantum computation is adequate for analyses of quantum vs classical computation, in practice qubits are often realized in higher-dimensional systems by truncating all but two levels, thereby reducing the size of the precious Hilbert space. We develop natural qudit gates for universal quantum computation, and exploit the entire accessible Hilbert space. Mathematically, we give representations of the generalized Pauli group for qudits in coupled spin systems and harmonic oscillators, and include analyses of the qubit and the infinite-dimensional limits.Comment: 4 pages, published versio

    An evolutionary approach to the representation of adverse events

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    One way to detect, monitor and prevent adverse events with the help of Information Technology is by using ontologies capable of representing three levels of reality: what is the case, what is believed about reality, and what is represented. We report on how Basic Formal Ontology and Referent Tracking exhibit this capability and how they are used to develop an adverse event ontology and related data annotation scheme for the European ReMINE project
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