Search results for "database."

showing 10 items of 2119 documents

Querying and reasoning over large scale building data sets

2016

International audience; The architectural design and construction domains work on a daily basis with massive amounts of data. Properly managing, exchanging and exploiting these data is an ever ongoing challenge in this domain. This has resulted in large semantic RDF graphs that are to be combined with a significant number of other data sets (building product catalogues, regulation data, geometric point cloud data, simulation data, sensor data), thus making an already huge dataset even larger. Making these big data available at high performance rates and speeds and into the correct (intuitive) formats is therefore an incredibly high challenge in this domain. Yet, hardly any benchmark is avai…

Computer scienceData managementBig data[ INFO.INFO-WB ] Computer Science [cs]/Web0211 other engineering and technologiesifcOWL02 engineering and technologySemantic data modelcomputer.software_genreDomain (software engineering)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Set (abstract data type)benchmarksemantic webbig data021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic Web[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/WebData set[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Building information modelingBenchmark (computing)reasoning020201 artificial intelligence & image processingData miningbusinesscomputer
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Executable Data Quality Models

2017

The paper discusses an external solution for data quality management in information systems. In contradiction to traditional data quality assurance methods, the proposed approach provides the usage of a domain specific language (DSL) for description data quality models. Data quality models consists of graphical diagrams, which elements contain requirements for data object's values and procedures for data object's analysis. The DSL interpreter makes the data quality model executable therefore ensuring measurement and improving of data quality. The described approach can be applied: (1) to check the completeness, accuracy and consistency of accumulated data; (2) to support data migration in c…

Computer scienceData transformation02 engineering and technologycomputer.software_genreData modeling0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringInformation systemLogical data modelGeneral Environmental ScienceData elementDatabaseInformation qualityData warehouseData mapping020303 mechanical engineering & transportsData modelData qualityGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingData pre-processingData architectureData miningSoftware architecturecomputerData migrationData virtualizationProcedia Computer Science
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Concurrent Computing with Shared Replicated Memory

2019

Any concurrent system can be captured by a concurrent Abstract State Machine (cASM). This remains valid, if different agents can only interact via messages. It even permits a strict separation between memory managing agents and other agents that can only access the shared memory by sending query and update requests. This paper is dedicated to an investigation of replicated data that is maintained by a memory management subsystem, where the replication neither appears in the requests nor in the corresponding answers. We specify the behaviour of a concurrent system with such memory management using concurrent communicating ASMs (ccASMs), provide several refinements addressing different replic…

Computer scienceDistributed computing020207 software engineering0102 computer and information sciences02 engineering and technology01 natural sciencesReplication (computing)Consistency (database systems)Memory managementShared memory010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringAbstract state machinesConcurrent computingVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Advancing Deep Learning for Earth Sciences: From Hybrid Modeling to Interpretability

2020

Machine learning and deep learning in particular have made a huge impact in many fields of science and engineering. In the last decade, advanced deep learning methods have been developed and applied to remote sensing and geoscientific data problems extensively. Applications on classification and parameter retrieval are making a difference: methods are very accurate, can handle large amounts of data, and can deal with spatial and temporal data structures efficiently. Nevertheless, several important challenges need still to be addressed. First, current standard deep architectures cannot deal with long-range dependencies so distant driving processes (in space or time) are not captured, and the…

Computer scienceEarth sciencehybrid modeling0211 other engineering and technologies02 engineering and technology010501 environmental sciencesSpace (commercial competition)01 natural sciencesData modelingInterpretable AIPredictive modelsLaboratory of Geo-information Science and Remote SensingMachine learningearth sciencesLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpretabilitybusiness.industryDeep learningPhysicsSIGNAL (programming language)Data modelsdeep learningComputational modelingDeep learningEarthRemote sensingPE&RCartificial intelligenceTemporal databaseEnvironmental sciencesCausalityArtificial intelligencebusiness
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Least-squares community extraction in feature-rich networks using similarity data

2021

We explore a doubly-greedy approach to the issue of community detection in feature-rich networks. According to this approach, both the network and feature data are straightforwardly recovered from the underlying unknown non-overlapping communities, supplied with a center in the feature space and intensity weight(s) over the network each. Our least-squares additive criterion allows us to search for communities one-by-one and to find each community by adding entities one by one. A focus of this paper is that the feature-space data part is converted into a similarity matrix format. The similarity/link values can be used in either of two modes: (a) as measured in the same scale so that one may …

Computer scienceEconomicsKernel FunctionsSocial Sciences02 engineering and technologyLeast squaresInfographicsTranslocation GeneticGeographical LocationsMedical Conditions0202 electrical engineering electronic engineering information engineeringMedicine and Health SciencesPsychologyCluster AnalysisOperator TheoryData ManagementMultidisciplinaryApplied MathematicsSimulation and ModelingQRExperimental PsychologyEuropeFeature (computer vision)Research DesignPhysical SciencesMedicine020201 artificial intelligence & image processingGraphsAlgorithmsNetwork AnalysisNetwork analysisResearch ArticleComputer and Information SciencesScienceFeature vectorScale (descriptive set theory)Research and Analysis MethodsColumn (database)Similarity (network science)020204 information systemsParasitic DiseasesLeast-Squares AnalysisFeature databusiness.industryData VisualizationBiology and Life SciencesPattern recognitionTropical DiseasesEconomic AnalysisMalariaPeople and PlacesArtificial intelligencebusinessMathematicsPLoS ONE
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ViziQuer: A Visual Notation for RDF Data Analysis Queries

2019

Visual SPARQL query notations aim at easing the RDF data querying task. At the current state of the art there is still no generally accepted visual graph-based notation suitable to describe RDF data analysis queries that involve aggregation and subqueries. In this paper we present a visual diagram-centered notation for SPARQL select query formulation, capable to handle aggregate/statistics queries and hierarchic queries with subquery structure. The notation is supported by a web-based prototype tool. We present the notation examples, describe its syntax and semantics and describe studies with possible end users, involving both IT and medicine students.

Computer scienceEnd userProgramming languageInformationSystems_INFORMATIONSTORAGEANDRETRIEVAL010401 analytical chemistry05 social sciencesQuery formulationInformationSystems_DATABASEMANAGEMENTcomputer.file_formatNotationcomputer.software_genre01 natural sciences0104 chemical sciencesSPARQLGraph (abstract data type)0501 psychology and cognitive sciencesVisual notationRDFcomputer050107 human factors
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CRISPR sequences are sometimes erroneously translated and can contaminate public databases with spurious proteins containing spaced repeats

2020

© The Author(s) 2020.

Computer scienceGene predictionGenomicscomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyHomology (biology)03 medical and health sciencesAnnotation0302 clinical medicineCRISPRClustered Regularly Interspaced Short Palindromic RepeatsDatabases Protein030304 developmental biology0303 health sciencesDatabasePalindromeProteinsComputational geneGenomicsAcademicSubjects/SCI00960Original ArticleUniProtGeneral Agricultural and Biological Sciencescomputer030217 neurology & neurosurgeryInformation Systems
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Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe

2012

One of the major drawbacks of land cover products is the lack of interoperability among them. Since their development was driven by different national or international initiatives, they were developed for different purposes and hold diverse technical characteristics. Thus, comparison among products and quality monitoring is necessary in assessing their usefulness. This paper provides a methodology to compare global land cover maps that allows for differences in legend definitions among products. Two different approaches were considered for map comparison, a Boolean approach and a new methodology based on fuzzy set theory in which the Land Cover Classification System (LCCS) acted as a genera…

Computer scienceInteroperabilityFuzzy setLand covercomputer.software_genreFuzzy logicAtomic and Molecular Physics and OpticsComputer Science ApplicationsSet (abstract data type)Consistency (database systems)Identification (information)Data miningComputers in Earth SciencesScale (map)Engineering (miscellaneous)computerISPRS Journal of Photogrammetry and Remote Sensing
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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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Grammars++ for modelling information in text

1999

Abstract Grammars provide a convenient means to describe the set of valid instances in a text database. Flexibility in choosing a grammar can be exploited to provide information modelling capability by designing productions in the grammar to represent entities and relationships of interest to database applications. Additional constraints can be specified by attaching predicates to selected nonterminals in the grammar. When used for database definition, grammars can provide the functionality that users have come to expect of database schemas. Extended grammars can also be used to specify database manipulation, including query, update, view definition, and index specification.

Computer scienceViewmedia_common.quotation_subjectComputerApplications_COMPUTERSINOTHERSYSTEMScomputer.software_genreQuery languageDatabase designAdaptive grammarRule-based machine translationmedia_commonGrammarProgramming languagebusiness.industryDatabase schemaPredicate (grammar)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESExtended Affix GrammarHardware and ArchitectureAffix grammarStochastic context-free grammarSynchronous context-free grammarArtificial intelligenceL-attributed grammarbusinesscomputerSoftwareNatural language processingInformation SystemsInformation Systems
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