Search results for " Ontologies"

showing 10 items of 28 documents

Reactome diagram viewer: data structures and strategies to boost performance

2017

Abstract Motivation Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. For web-based pathway visualization, Reactome uses a custom pathway diagram viewer that has been evolved over the past years. Here, we present comprehensive enhancements in usability and performance based on extensive usability testing sessions and technology developments, aiming to optimize the viewer towards the needs of the community. Results The pathway diagram viewer version 3 achieves consistently better performance, loading and rendering of 97% of the diagrams in Reactome in less than 1 s. Combining the multi-layer html5 canvas strategy with a space partit…

0301 basic medicineStatistics and ProbabilityDatabases FactualComputer scienceKnowledge BasesDatabases and OntologiesBiochemistryWorld Wide Web03 medical and health sciences0302 clinical medicineHumansMolecular BiologyInternetComputational BiologyData structureOriginal PapersComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyComputational Theory and Mathematics030220 oncology & carcinogenesisScalabilityAlgorithmsMetabolic Networks and PathwaysSoftwareBioinformatics
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Semantic technologies for industry: From knowledge modeling and integration to intelligent applications

2013

Artificial Intelligence technologies are growingly used within several software systems ranging from Web services to mobile applications. It is by no doubt true that the more AI algorithms and methods are used the more they tend to depart from a pure "AI" spirit and end to refer to the sphere of standard software. In a sense, AI seems strongly connected with ideas, methods and tools that are not (yet) used by the general public. On the contrary, a more realistic view of it would be a rich and pervading set of successful paradigms and approaches. Industry is currently perceiving semantic technologies as a key contribution of AI to innovation. In this paper a survey of current industrial expe…

Computer scienceKnowledge RepresentationRecommender systemcomputer.software_genreNLPIndustrial ApplicationsWorld Wide WebKnowledge modelingSemantic TechnologiesArtificial Intelligencesemantic searchontologiesKnowledge Representation; Semantic Technologies; Industrial Applicationsinformation retrievalSoftware systembusiness.industrySemantic searchSketchBPMSemantic technologyApplications of artificial intelligenceNLP information retrieval semantic search recommender systems ontologies BPMrecommender systemsWeb servicebusinesscomputerIntelligenza Artificiale
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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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Database to Ontology Mapping Patterns in RDB2OWL Lite

2016

We describe the RDB2OWL Lite language for relational database to RDF/OWL mapping specification and discuss the architectural and content specification patterns arising in mapping definition. RDB2OWL Lite is a simplification of original RDB2OWL with aggregation possibilities and order-based filters removed, while providing in-mapping SQL view definition possibilities. The mapping constructs and their usage patterns are illustrated on mapping examples from medical domain: medicine registries and hospital information system. The RDB2OWL Lite mapping implementation is offered both via translation into D2RQ and into standard R2RML mapping notations.

Hospital information systemOpen Biomedical OntologiesInformation retrievalComputer scienceViewRelational databaseSemantic integrationcomputer.file_formatRDFNotationcomputerDomain (software engineering)
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Swarming : An Investigation Practice Supporting a Bottom-up Ecological Transition

2022

Dans cet article, nous rendons compte des pratiques d’essaimage d’initiatives locales de transition portées par des collectifs citoyens et associatifs en région Bourgogne Franche-Comté. L’essaimage, défini comme une façon d’enquêter pour agir, caractérise un « activisme environnemental du faire » qui se structure de manière réticulaire et translocale. Ces multiples initiatives qui font des gestes du quotidien un levier de transformation écologique s’activent avec ou sans les institutions territoriales. Celles-ci, indépendamment de l’écho qu’elles renvoient à ces expérimentations, sont interpellées dans leur manière de concevoir l’action publique sous contrainte écologique forte.

MESH: Enquête[SHS.GEO] Humanities and Social Sciences/GeographyenquêteMESH: Développement durableMESH: Essaimage[SHS]Humanities and Social SciencesMESH: Transdisciplanaritétransition écologiqueTranslocalismeMESH: TranslocalMESH: Transition écologieMESH: Bottom-up democracyMESH: OntologiesMESH: Living labMESH: Circulationsmatérialisme durableMESH: Matérialisme durableMESH: Initiatives citoyennesEssaimageMESH: Action collectiveMESH: Transitions territorialesMESH: PréfigurationcirculationsMESH: Recherche participativeMESH: Activisme environnemental du faireMESH: Démocratie du FaireMESH: Environnementalisme ordinaireMESH: Transition socio-écologieMESH: Diffusion des idées et des pratiquesMESH: Écologie
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DeepSRE: Identification of sterol responsive elements and nuclear transcription factors Y proximity in human DNA by Convolutional Neural Network anal…

2021

SREBP1 and 2, are cholesterol sensors able to modulate cholesterol-related gene expression responses. SREBPs binding sites are characterized by the presence of multiple target sequences as SRE, NFY and SP1, that can be arranged differently in different genes, so that it is not easy to identify the binding site on the basis of direct DNA sequence analysis. This paper presents a complete workflow based on a one-dimensional Convolutional Neural Network (CNN) model able to detect putative SREBPs binding sites irrespective of target elements arrangements. The strategy is based on the recognition of SRE linked (less than 250 bp) to NFY sequences according to chromosomal localization derived from …

Metabolic ProcessesSettore MED/09 - Medicina InternaConservation BiologyGene ExpressionBiochemistryConservation ScienceData ManagementRegulation of gene expressionMultidisciplinaryGene OntologiesQRGenomicsLipidsPhylogeneticsCholesterolConservation GeneticsMedicineSettore MED/46 - Scienze Tecniche Di Medicina Di LaboratorioResearch ArticleComputer and Information SciencesSp1 Transcription FactorSequence analysisScienceDNA transcriptionComputational biologyBiologyData mining Deep Learning Genetics Transcription factorDNA-binding proteinsGeneticsHumansGene RegulationEvolutionary SystematicsBinding siteGeneTranscription factorTaxonomyEvolutionary BiologyModels GeneticEcology and Environmental SciencesBiology and Life SciencesComputational BiologyProteinsPromoterDNA PatternsDNASequence Analysis DNAGenome AnalysisRegulatory ProteinsSterol regulatory element-binding proteinMetabolismSerum Response ElementCCAAT-Binding FactorTranscription Factors
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Ontology mapping specification in description logics for cooperative systems

2006

Le developpement rapide du Web semantique est lie a la specification de plus en plus d'ontologies. Celles-ci permettent de modeliser des connaissances agreees par des communautes de personnes concernant des domaines ou des tâches specifiques. Le meme domaine decrit par deux communautes distinctes sera modelise de facon differente. Les systemes cooperatifs visent a rendre les informations provenant de differentes sources disponibles au-dela de leurs divergences. Pour cela, ils doivent aligner, fusionner ou integrer ces ontologies. La decouverte de mappings est un point cle dans la resolution efficace des heterogeneites entre ontologies. Nous developpons une architecture qui connecte des syst…

Ontology (information science)computer.software_genre01 natural sciences030507 speech-language pathology & audiology03 medical and health sciencessemantic webDescription logic[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic integrationontology0101 mathematicsSemantic Websimilarity estimationMathematicsInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry010102 general mathematicsMappingsMappings ontologies web sémantique calcul de similarité estimation; Mappings ontology semantic web similarity estimation.[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Artificial intelligenceWeb service0305 other medical sciencebusinessMerge (version control)computer
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Ontology Views for Ontology Change Management

2014

International audience; In the literature, ontology change management systems (OCMS) are direct implementation of the concept of “change management” stated by reference (Klein, 2004). Ontology change management combines ontol- ogy evolution and versioning features to manage ontol- ogy changes and their impacts. Since 2007, many works have combined ontology evolution and versioning into ontology change management systems (OCMS). The evolution subject has been massively studied in these works. They especially addressed the consistence issue for the application of changes on the ontology. These proposals constituted a consequent background for ontology change management but they did not take i…

Ontology Inference Layer[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceProcess ontologyURI[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genreRDFOpen Biomedical Ontologies[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]ontology evolution0202 electrical engineering electronic engineering information engineeringUpper ontologyontologyOWL DLOWLInformation retrievalOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontologymaterialized view020207 software engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]database viewontology mapping020201 artificial intelligence & image processingData miningComputingMethodologies_GENERALontology change managementOntology alignmentcomputer
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Data Mining of Specific-Domain Ontology Components

2008

This paper describes an approach for eliciting ontology components by using knowledge maps. The knowledge contained in a particular domain, any kind of text digital archive, is portrayed by assembling and displaying its ontology components.

Open Biomedical OntologiesOntology Inference LayerInformation retrievalComputer scienceOntology-based data integrationOntology componentsProcess ontologySuggested Upper Merged OntologyUpper ontologyData miningOntology (information science)computer.software_genrecomputer
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Semi-automatic Derivation of Specific-Domain Ontologies for the Semantic Web

2006

This paper describes an approach for helping in the semi-automatic construction of specific-domain ontology components contained in a digital archive. This proposal for extracting knowledge from digital sources allows users to have a view of this knowledge and visualize specific-domain ontology components that with further processing can be shared with software agents by embedding it into digital archives themselves in the context of the Semantic Web. In particular, we deal with the issue of not constructing the ontology from scratch, our approach helps us to speed up the ontology creation process.

Open Biomedical OntologiesWorld Wide WebOntology Inference LayerInformation retrievalComputer sciencecomputer.internet_protocolProcess ontologyOntology-based data integrationSuggested Upper Merged OntologyUpper ontologyOntology (information science)computerOWL-S2006 Fifth Mexican International Conference on Artificial Intelligence
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