Search results for "data integration"

showing 10 items of 81 documents

A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration

2019

Natural phenomena and mechanisms have always intrigued humans, inspiring the design of effective solutions for real-world problems. Indeed, fascinating processes occur in nature, giving rise to an ever-increasing scientific interest. In everyday life, the amount of heterogeneous biomedical data is increasing more and more thanks to the advances in image acquisition modalities and high-throughput technologies. The automated analysis of these large-scale datasets creates new compelling challenges for data-driven and model-based computational methods. The application of intelligent algorithms, which mimic natural phenomena, is emerging as an effective paradigm for tackling complex problems, by…

Algebra and Number Theorymedical image analysibusiness.industryComputer scienceNature-inspired computingartificial intelligence; biomedical data integration; medical image analysis; Nature-inspired computingartificial intelligencebiomedical data integrationTheoretical Computer ScienceImage (mathematics)artificial intelligence biomedical data integration medical image analysis Nature-inspired computingComputational Theory and MathematicsBiomedical dataArtificial intelligenceNature inspiredbusinessmedical image analysisInformation Systems
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An integrated approach for high spatial resolution mapping of water and carbon fluxes using multi-sensor satellite data

2012

In the last years, modeling of surface processes - such as water, energy and carbon budgets, as well as vegetation growth- seems to be focused on integrated approaches that combine aspects of hydrology, biology and meteorology into unified analyses. In this context, remotely sensed data often have a core role due to the cross-cutting impact of this novel source of spatially distributed information on all these research areas. However, several applications - such as drought monitoring, yield forecasting and crop management - require spatially detailed products at sub-field scales, which can be obtained only with support of adequately fine resolution remote sensing data (< 100 m). In particul…

CanopyMoistureNear-infrared spectroscopySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaData fusioncomputer.software_genreSensor fusionEnergy budgetSurface energy balanceThermal infrared optical bands data fusion surface energy balanceOptical bandsEvapotranspirationEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLeaf area indexThermal infraredcomputerRemote sensingData integration
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Metamodelling architectures for complex data integration in systems biology

2010

Systems biology aims at deciphering the functioning of biological systems on the basis of the knowledge of their molecular components and the relations between such components. To address the issues involved, high-throughput technologies are used. Taking advantage of the standards that are being currently developed to achieve consensual representations of technological domains, we present a metamodelling architecture based on these standards. The proposed architecture organises standard-specific metamodels and models into a single hierarchy. Each metamodel describes a consensus that is shared by several models of applications. A metamodel construct for description of faceted element is prop…

Complex data type0303 health sciencesHierarchyComputer scienceSystems biologyBiomedical Engineering02 engineering and technologyConstruct (python library)computer.software_genreMetamodeling03 medical and health sciences020204 information systems0202 electrical engineering electronic engineering information engineeringSystems engineeringModel-driven architectureArchitecturecomputer030304 developmental biologycomputer.programming_languageData integrationInternational Journal of Biomedical Engineering and Technology
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Mobile Ontologies

2008

The number of mobile subscribers in the world is soon reaching the three billion mark. According to the newest estimates, majority of the subscribers are already in the developing countries, whereas the number of subscribers in the industrialized countries is about to stagnate around one billion. Because especially in the developing countries the only access to Internet are mobile devices, developing high quality services based on them grows in importance. Ontologies are an important ingredient towards more complicated mobile services and wider usage of mobile terminals. In this article, we first discuss ontology and epistemology concepts in general. After that, we review ontologies in the …

Computer Networks and Communicationsbusiness.industryComputer scienceOntology-based data integrationProcess ontologyMobile business developmentOntology (information science)Domain (software engineering)World Wide WebUpper ontologyThe InternetbusinessMobile deviceInformation SystemsInternational Journal on Semantic Web and Information Systems
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UNIVERSITY IS ARCHITECTURE FOR THE RESEARCH EVALUATION SUPPORT

2017

The measuring of research results can be used in different ways e.g. for assignment of research grants and afterwards for evaluation of project’s results. It can be used also for recruiting or promoting research institutions’ staff. Because of a wide usage of such measurement, the selection of appropriate measures is important. At the same time there does not exist a common view which metrics should be used in this field, moreover many existing metrics that are widely used are often misleading due to different reasons, e.g. computed from incomplete or faulty data, the metric’s computation formula may be invalid or the computation results can be interpreted wrongly. To produce a good framewo…

Computer scienceData qualityInformation systemScopusSelection (linguistics)research evaluation; research metrics; data integration; information system; data qualityMetric (unit)Architecturecomputer.software_genrecomputerData scienceField (computer science)Data integrationEnvironment. Technology. Resources.
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Domain-Specific OWL Ontology Visualization with OWLGrEd

2015

The OWLGrEd ontology editor allows graphical visualization and authoring of OWL 2.0 ontologies using a compact yet intuitive presentation that combines UML class diagram notation with textual Manchester syntax for expressions. We present an extension mechanism for OWLGrEd that allows adding custom information areas, rules and visual effects to the ontology presentation thus enabling domain specific OWL ontology visualizations. The usage of OWLGrEd and its extensions is demonstrated on ontology engineering examples involving custom annotation visualizations, advanced UML class dia-gram constructs and integrity constraints in semantic database schema design.

Computer sciencecomputer.internet_protocolProgramming languageOntology-based data integrationProcess ontologySuggested Upper Merged OntologyOntology (information science)computer.software_genreOntology engineeringOWL-SWorld Wide WebOpen Biomedical OntologiesUpper ontologycomputer
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Publication Data Integration as a Tool for Excellence-Based Research Analysis at the University of Latvia

2017

The evaluation of research results can be carried out with different purposes aligned with strategic goals of an institution, for example, to decide upon distribution of research funding or to recruit or promote employees of an institution involved in research. Whereas quantitative measures such as number of scientific papers or number of scientific staff are commonly used for such evaluation, the strategy of the institution can be set to achieve ambitious scientific goals. Therefore, a question arises as to how more quality oriented aspects of the research outcomes should be measured. To supply an appropriate dataset for evaluation of both types of metrics, a suitable framework should be p…

Computer sciencemedia_common.quotation_subject05 social sciences050905 science studiescomputer.software_genreData scienceSet (abstract data type)Data modelExcellenceData qualityInformation systemQuality (business)Metric (unit)0509 other social sciences050904 information & library sciencescomputermedia_commonData integration
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Improving protein secondary structure predictions by prediction fusion

2009

Protein secondary structure prediction is still a challenging problem at today. Even if a number of prediction methods have been presented in the literature, the various prediction tools that are available on-line produce results whose quality is not always fully satisfactory. Therefore, a user has to know which predictor to use for a given protein to be analyzed. In this paper, we propose a server implementing a method to improve the accuracy in protein secondary structure prediction. The method is based on integrating the prediction results computed by some available on-line prediction tools to obtain a combined prediction of higher quality. Given an input protein p whose secondary struct…

CorrectnessComputer sciencemedia_common.quotation_subjectProtein structure predictioncomputer.software_genreSet (abstract data type)Global distance testHardware and ArchitectureSignal ProcessingQuality (business)Data miningBioinformatics Protein Secondary Structure Prediction ClassificationCASPProtein secondary structurecomputerSoftwareInformation Systemsmedia_commonData integrationInformation Fusion
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Probabilistic techniques for bridging the semantic gap in schema alignment

Connecting pieces of informations from heterogeneous sources sharing the same domain is an open challenge in Semantic Web, Big Data and business communities. The main problem in this research area is to bridge the expressiveness gap between relational databases and ontologies. In general, an ontology is more expressive and captures more semantic information behind data than a relational database does. On the other side, databases are the most common used persistent storage system and they grant benefits such as security and data integrity but they need to be managed by expert users. The problem is quite significant above all when enterprise or corporate ontologies are used to share infomation…

Data IntegrationOWL OntologyDatabaseSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSchema MatchingEntity-Relation DiagramHidden Markov Model
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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