Search results for " Knowledge Base"

showing 10 items of 22 documents

Effect of High-Fidelity Simulation on Medical Students' Knowledge about Advanced Life Support: A Randomized Study

2015

High-fidelity simulation (HFS) is a learning method which has proven effective in medical education for technical and non-technical skills. However, its effectiveness for knowledge acquisition is less validated. We performed a randomized study with the primary aim of investigating whether HFS, in association with frontal lessons, would improve knowledge about advanced life support (ALS), in comparison to frontal lessons only among medical students. The secondary aims were to evaluate the effect of HFS on knowledge acquisition of different sections of ALS and personal knowledge perception. Participants answered a pre-test questionnaire consisting of a subjective (evaluating personal percepti…

AdultMalemedicine.medical_specialtyMedical psychologyStudents Medicalmedia_common.quotation_subjecteducationPsychological interventionlcsh:MedicineSettore MED/41 - AnestesiologiaManikinsALS Simulation Medical Educationlaw.inventionManikinRandomized controlled triallawPerceptionSurveys and QuestionnairesmedicineHumansComputer SimulationPersonal knowledge baseMED/41 - ANESTESIOLOGIAlcsh:Sciencemedia_commonMultidisciplinaryEducation Medicalbusiness.industryCommunicationlcsh:RProblem-Based LearningKnowledge acquisitionAdvanced life supportAlgorithmProblem-based learningPhysical therapylcsh:QFemalebusinessAlgorithmsHumanResearch Article
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Connectivity and Transformation in Work-Related Learning – Theoretical Foundations

2008

Cognitive scienceTheoretical computer scienceTransformation (function)Tacit knowledgePersonal knowledge baseExplicit knowledgeProcedural knowledgeWork relatedMathematics
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An introduction to knowledge computing

2014

This paper deals with the challenges related to self-management and evolution of massive knowledge collections. We can assume that a self-managed knowledge graph needs a kind of a hybrid of: an explicit declarative self-knowledge (as knowledge about own properties and capabilities) and an explicit procedural self-knowledge (as knowledge on how to utilize own properties and the capabilities for the self-management).We offer an extension to a traditional RDF model of describing knowledge graphs according to the Semantic Web standards so that it will also allow to a knowledge entity to autonomously perform or query from remote services different computational executions needed. We also introdu…

Computer scienceOpen Knowledge Base ConnectivityEnergy Engineering and Power Technologyknowledge ecosystemssemanttinen webcomputer.software_genretietämyksenhallintaIndustrial and Manufacturing EngineeringKnowledge-based systemsKnowledge extractionManagement of Technology and InnovationElectrical and Electronic Engineeringtietämysself-managed systemsDatabasebusiness.industryApplied MathematicsMechanical Engineeringexecutable knowledgeknowledge computingcomputer.file_formatMathematical knowledge managementProcedural knowledgeComputer Science ApplicationsKnowledge baseControl and Systems EngineeringDomain knowledgeExecutablebusinessSoftware engineeringcomputerEastern-European Journal of Enterprise Technologies
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Towards MKDA: A Knowledge Discovery Assistant for Researches in Medicine

2007

Nowadays doctors are generating a huge amount of raw data. These data, analyzed with data mining techniques, could be sources of new knowledge. Unluckily such tasks need skilled data analysts, and not so much researchers in Medicine are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The user must define only the experiment specifications in a formal language we have defined. The system GUI helps users in their composition. Then the system plans a Knowledge Discovery Process (KDP) on the basis of rules in a knowledge base. Finally the system executes the KDP and pr…

Computer sciencebusiness.industryKnowledge engineeringOpen Knowledge Base Connectivitycomputer.software_genreData scienceKnowledge-based systemsKnowledge extractionKnowledge baseKnowledge integrationSoftware miningDomain knowledgeWeb servicebusinesscomputer
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Knowledge Acquisition Based on Semantic Balance of Internal and External Knowledge

1999

This paper presents a strategy to handle incomplete knowledge during acquisition process. The goal of this research is to develop formal tools that benefit the law of semantic balance. The assumption is used that a situation inside the object’s boundary in some world should be in balance with a situation outside it. It means that continuous cognition of an object aspires to a complete knowledge about it and knowledge about internal structure of the object will be in balance with knowledge about relationships of the object with other objects in its environment. It is supposed that one way to discover incompleteness of knowledge about some object is to measure and compare knowledge about its …

Computer sciencebusiness.industryOpen Knowledge Base ConnectivityCognitionSemantic data modelProcedural knowledgeSemanticsKnowledge acquisitionSemantic networkBody of knowledgeKnowledge-based systemsKnowledge extractionKnowledge baseHuman–computer interactionSemantics of logicDomain knowledgeArtificial intelligencebusiness
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A Knowledge Based Decision Support System for Bioinformatics and System Biology

2011

In this paper, we present a new Decision Support System for Bioinformatics and System Biology issues. Our system is based on a Knowledge base, representing the expertise about the application domain, and a Reasoner. The Reasoner, consulting the Knowledge base and according to the user’s request, is able to suggest one or more strategies in order to resolve the selected problem. Moreover, the system can build, at different abstraction layers, a workflow for the current problem on the basis of the user’s choices, freeing the user from implementation details and assisting him in the correct configuration of the algorithms. Two possible application scenarios will be introduced: the analysis of …

Decision support systemMeta-Level reasoningComputer sciencebusiness.industrySystems biologyInferenceDecision Support SystemSemantic reasonerKnowledge Based Decision System BioinformaticsBioinformaticsKnowledge baseWorkflowKnowledge baseApplication domainDecision Support System Knowledge Base Meta Reasoning Workflow ManagementbusinessWorkflow ManagementAbstraction (linguistics)
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Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning in System P

2016

We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore how probabilistic reasoning under coherence is related to model-theoretic probabilistic reasoning and to default reasoning in System P. In particular, we show that the notions of g-coherence and of g-coherent entailment can be expressed by combining notions in model-theoretic probabilistic logic with concepts from default reasoning. Moreover, we show that probabilistic reasoning under coherence is a generalization of default reasoning in System P. That is, we provide a new probabilistic semantics for System P, which neither uses infinitesimal probabilities nor atomic bound (or bi…

Deductive reasoningSettore MAT/06 - Probabilita' E Statistica MatematicaConditional probability assessments conditional constraints probabilistic logic under coherence model-theoretic probabilistic logic g-coherence g-coherent entailment defaultreasoning from conditional knowledge bases System P conditional objects.conditional constraintsLogicDefault logicStatistics::Other StatisticsProbabilistic logic networkConditional probability assessmentsprobabilistic logic under coherenceNon-monotonic logicSystem PMathematicsg-coherent entailmentHardware_MEMORYSTRUCTURESmodel-theoretic probabilistic logicbusiness.industryProbabilistic logicSystem P; g-coherence; conditional objectsCoherence (statistics)default reasoning from conditional knowledge basesProbabilistic argumentationConditional probability assessments; conditional constraints; probabilistic logic under coherence; model-theoretic probabilistic logic; g-coherence; g-coherent entailment; default reasoning from conditional knowledge bases; System P; conditional objects.Philosophyg-coherenceProbabilistic CTLArtificial intelligencebusinessAlgorithmconditional objectsJournal of Applied Non−Classical Logics
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Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning

2001

We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore the relationship between coherence-based and model-theoretic probabilistic logic. Interestingly, we show that the notions of g-coherence and of g-coherent entailment can be expressed by combining notions in model-theoretic probabilistic logic with concepts from default reasoning. Crucially, we even show that probabilistic reasoning under coherence is a probabilistic generalization of default reasoning in system P. That is, we provide a new probabilistic semantics for system P, which is neither based on infinitesimal probabilities nor on atomic-bound (or also big-stepped) probabil…

Deductive reasoningSettore MAT/06 - Probabilita' E Statistica MatematicaKnowledge representation and reasoningComputer scienceDefault logicDivergence-from-randomness modelLogic modelcomputer.software_genreLogical consequenceProbabilistic logic networkConditional probability assessments conditional constraints probabilistic logic under coherence model-theoretic probabilistic logic g-coherence g-coherent entailment default reasoning from conditional knowledge bases System P conditional objectsprobabilistic logic under coherenceNon-monotonic logicProbabilistic relevance modeldefault reasoningmodel-theoretic probabilistic logicbusiness.industryProbabilistic logicProbabilistic argumentationExpert systemg-coherencesystem pProbabilistic CTLArtificial intelligencebusinesscomputerdefault reasoning; g-coherence; model-theoretic probabilistic logic; probabilistic logic under coherence; system p
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Conceptual and Paradigmatic Foundations of ISD

1995

Descriptive knowledgeManagement scienceCommunicative actionInformation systemCommunicative rationalitySociologyPersonal knowledge baseSocial scienceSymbolic interactionismIdeal speech situationData modeling
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Transitive Reasoning with Imprecise Probabilities

2015

We study probabilistically informative (weak) versions of transitivity by using suitable definitions of defaults and negated defaults in the setting of coherence and imprecise probabilities. We represent \(\text{ p-consistent }\) sequences of defaults and/or negated defaults by g-coherent imprecise probability assessments on the respective sequences of conditional events. Finally, we present the coherent probability propagation rules for Weak Transitivity and the validity of selected inference patterns by proving p-entailment of the associated knowledge bases.

Discrete mathematicsTransitive relationSettore MAT/06 - Probabilita' E Statistica MatematicaSettore INF/01 - Informaticabusiness.industryProbabilistic logicSyllogismInferenceCoherence (philosophical gambling strategy)Settore M-FIL/02 - Logica E Filosofia Della ScienzaComputer Science::Artificial IntelligenceImprecise probabilityCoherence default imprecise probability knowledge base p-consistency p-entailment reasoning syllogism weak transitivityProbability propagationKnowledge basebusinessMathematics
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