Search results for " Integra"

showing 10 items of 2527 documents

Building Ontologies from XML Data Sources

2009

In this paper, we present a tool called X2OWL that aims at building an OWL ontology from an XML datasource. This method is based on XML schema to automatically generate the ontology structure, as well as, a set of mapping bridges. The presented method also includes a refinement step that allows to clean the mapping bridges and possibly to restructure the generated ontology.

Document Structure DescriptionComputer sciencecomputer.internet_protocolProcess ontologyEfficient XML InterchangeXML SignatureOntology (information science)computer.software_genreXML Schema EditorStreaming XMLUpper ontologyXML schemaRDFSemantic Webcomputer.programming_languageInformation retrievalOntology-based data integrationSuggested Upper Merged OntologyWeb Ontology LanguageXML validationcomputer.file_formatXML frameworkXML databaseComputingMethodologies_DOCUMENTANDTEXTPROCESSINGOntologycomputerXML2009 20th International Workshop on Database and Expert Systems Application
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Ontology-based integration of XML data: Schematic marks as a bridge between syntax and semantic level

2007

This paper presents an ontology integration approach of XML data. The approach is composed of two pillars the first of which is based on formal language and XML grammars analysis. The second pillar is based on ontology and domain ontology analysis. The keystone of this architecture which creates a bridge between the two pillars is based on the concept of schematic marks introduced in this paper. These schematic marks make it possible to establish the link between the syntactic level and the semantic level for our integration framework.

Document Structure DescriptionXML EncryptionInformation retrievalComputer scienceXML Schema EditorOntology-based data integrationStreaming XMLXML validationXML schemaOntology (information science)computercomputer.programming_language
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Localization and separation of solutions for Fredholm integral equations

2020

[EN] In this paper, we establish a qualitative study of nonlinear Fredholm integral equations, where we will carry out a study on the localization and separation of solutions. Moreover, we consider an efficient algorithm to approximate a solution. To do this, we study the semilocal convergence of an efficient third order iterative scheme for solving nonlinear Fredholm integral equations under mild conditions. The novelty of our work lies in the fact that this study involves first order Frechet derivative and mild conditions. A numerical example involving nonlinear Fredholm integral equations, is solved to show the domains of existence and uniqueness of solutions. The applicability of the it…

Domain of existence of solutionApplied MathematicsFredholm integral equation010102 general mathematicsSeparation (statistics)Mathematical analysisFredholm integral equationTwo-steps Newton iterative schemeLipschitz continuity01 natural sciencesIntegral equation010101 applied mathematicssymbols.namesakesymbols0101 mathematicsDomain of uniqueness of solutionLipschitz conditionMATEMATICA APLICADAAnalysisMathematics
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On the integration of Riemann-measurable vector-valued functions

2016

We confine our attention to convergence theorems and descriptive relationships within some subclasses of Riemann-measurable vector-valued functions that are based on the various generalizations of the Riemann definition of an integral.

Dominated convergence theoremRiemann-measurable functionPure mathematicsMeasurable functionGeneral Mathematics02 engineering and technologyLebesgue measurable gaugeLebesgue integration01 natural sciencessymbols.namesakeConvergence (routing)0202 electrical engineering electronic engineering information engineeringCalculusMathematics (all)0101 mathematicsMathematicsBirkhoff McShane Henstock and Pettis integralMathematics::Complex Variables010102 general mathematicsRiemann integralRiemann hypothesisBounded variationBounded variationAlmost uniform convergencesymbols020201 artificial intelligence & image processingVector-valued function$$ACG_*$$ACG∗and $$ACG_delta ^*$$ACGδ∗functionMonatshefte für Mathematik
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On Fuzzy Stochastic Integral Equations—A Martingale Problem Approach

2011

In the paper we consider fuzzy stochastic integral equations using the methods of stochastic inclusions. The idea is to consider an associated martingale problem and its solutions in order to obtain a solution to the fuzzy stochastic equation.

Doob's martingale inequalityStratonovich integralMathematical optimizationContinuous-time stochastic processComputingMethodologies_SIMULATIONANDMODELINGMathematicsofComputing_NUMERICALANALYSISLocal martingaleMartingale difference sequenceStochastic optimizationMartingale (probability theory)Fuzzy logicMathematics
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Martingale Convergence Theorems and Their Applications

2020

We became familiar with martingales X=(X n ) n∈N0 as fair games and found that under certain transformations (optional stopping, discrete stochastic integral) martingales turn into martingales. In this chapter, we will see that under weak conditions (non-negativity or uniform integrability) martingales converge almost surely. Furthermore, the martingale structure implies L p -convergence under assumptions that are (formally) weaker than those of Chapter 7. The basic ideas of this chapter are Doob’s inequality (Theorem 11.4) and the upcrossing inequality (Lemma 11.3).

Doob's martingale inequalityUniform integrabilityPure mathematicsDoob's martingale convergence theoremsLocal martingaleAlmost surelyMartingale (probability theory)Stock priceStochastic integralMathematics
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A framework for data integration of offshore wind farms

2013

Abstract Operation and maintenance play an important role in maximizing the yield and minimizing the downtime of wind turbines, especially offshore wind farms where access can be difficult due to harsh weather conditions for long periods. It contributes up to 25–30% to the cost of energy generation. Improved operation and maintenance (O&M) practices are likely to reduce the cost of wind energy and increase safety. In order to optimize the O&M, the importance of data exchange and knowledge sharing within the offshore wind industry must be realized. With more data available, it is possible to make better decisions, and thereby improve the recovery rates and reduce the operational costs. This …

DowntimeEngineeringWind powerRenewable Energy Sustainability and the Environmentbusiness.industryYield (finance)Environmental economicscomputer.software_genreKnowledge sharingOffshore wind powerElectricity generationData exchangebusinesscomputerMarine engineeringData integrationRenewable Energy
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How Many Clocks, How Many Times? On the Sensory Basis and Computational Challenges of Circadian Systems

2018

A vital task for every organism is not only to decide what to do but also when to do it. For this reason, “circadian clocks” have evolved in virtually all forms of life. Conceptually, circadian clocks can be divided into two functional domains; an autonomous oscillator creates a ~24 h self-sustained rhythm and sensory machinery interprets external information to alter the phase of the autonomous oscillation. It is through this simple design that variations in external stimuli (for example, daylight) can alter our sense of time. However, the clock’s simplicity ends with its basic concept. In metazoan animals, multiple external and internal stimuli, from light to temperature and even metaboli…

Drosophila melanogastermultisensory integrationcircadian clockbiological oscillatorbayesian modelingsensory conflictlcsh:Neurosciences. Biological psychiatry. Neuropsychiatrylcsh:RC321-571Frontiers in Behavioral Neuroscience
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Diversity in Ensemble Feature Selection

2003

Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to achieve higher accuracy, which is often not achievable with single models. It was shown theoretically and experimentally that in order for an ensemble to be effective, it should consist of high-accuracy base classifiers that should have high diversity in their predictions. One technique, which proved to be effective for constructing an ensemble of accurate and diverse base classifiers, is to use different feature subsets, or so-called ensemble feature selection. Many ensemble feature selection strategies incorporate diversity as a component of the fitness funct…

Dynamic integration of classifiersComputingMethodologies_PATTERNRECOGNITIONEnsemble diversityFeature selectionEnsemble of classifiersSearch strategy
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Fractional Derivatives in Interval Analysis

2017

In this paper, interval fractional derivatives are presented. We consider uncertainty in both the order and the argument of the fractional operator. The approach proposed takes advantage of the property of Fourier and Laplace transforms with respect to the translation operator, in order to first define integral transform of interval functions. Subsequently, the main interval fractional integrals and derivatives, such as the Riemann–Liouville, Caputo, and Riesz, are defined based on their properties with respect to integral transforms. Moreover, uncertain-but-bounded linear fractional dynamical systems, relevant in modeling fractional viscoelasticity, excited by zero-mean stationary Gaussian…

Dynamical systems Integral equations02 engineering and technology01 natural sciencesTransfer functionInterval arithmeticStructural Uncertainty Viscoelasticity Fractional Calculus Interval Analysissymbols.namesake0203 mechanical engineeringDynamical systemsmedicine0101 mathematicsSafety Risk Reliability and QualityIntegral equationsMathematicsSine and cosine transformsLaplace transformMechanical EngineeringDegrees of freedomMathematical analysisStiffnessFractional calculus010101 applied mathematics020303 mechanical engineering & transportsFourier transformsymbolsmedicine.symptomSettore ICAR/08 - Scienza Delle CostruzioniSafety Research
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