Search results for " Stack"

showing 10 items of 97 documents

From web 1.0 to web 4.0

2014

The Internet is active and very dynamic. It has enabled an unprecedented evolution in telematics and information systems, and in turn a global revolution in the use of technology and digital citizenry. Although many see the technologies that have driven this revolution as inventions of the past 1 to 2 decades, quite a few had their genesis before the Internet became mainstream. In exploring the history of the Internet, we see how it has facilitated innovations across all areas of technology and social life, and with a little imagination are perhaps able to get a glimpse of what is to come. A lot of technologies related to the Web environment have emerged in this area: Blogs, Wikis, Social N…

World Wide WebWeb standardsWeb 2.0Web developmentbusiness.industryComputer scienceSemantic Web StackWeb intelligencebusinessSemantic WebData WebSocial Semantic WebProceedings of the 7th Euro American Conference on Telematics and Information Systems
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Semantic Annotation and Retrieval of Services in the Cloud

2013

Recently, the economy has taken a downturn, which has forced many companies to reduce their costs in IT. This fact has, conversely, benefited the adoption of innovative computing models such as cloud computing, which allow businesses to reduce their fixed IT costs through outsourcing. As the number of cloud services available on the Internet grows, it is more and more difficult for companies to find those that can meet their needs. Under these circumstances, enabling a semantically-enriched search engine for cloud solutions can be a major breakthrough. In this paper, we present a fully-fledged platform based on semantics that (1) assist in generating a semantic description of cloud services…

World Wide Webbusiness.industryComputer scienceInformation and Communications TechnologySemantic computingCloud computingThe InternetSemantic Web StackSemanticsbusinessImage retrievalOutsourcing
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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

2016

International audience; The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through …

[ INFO ] Computer Science [cs]Geospatial analysisComputer scienceInteroperabilitySemantification02 engineering and technologySDIcomputer.software_genreSocial Semantic Web020204 information systems0202 electrical engineering electronic engineering information engineeringSemantic analyticsGeospatial PDF[INFO]Computer Science [cs]Web Coverage ServiceSemantic Web StackSemantic WebData WebR2RMLInformation retrievalLand usebusiness.industryCIPcomputer.file_formatGeoSPARQLInteroperabilityGeoSPARQLSemantic technology020201 artificial intelligence & image processingHeterogeneitybusinesscomputer
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Guest Editors' Introduction: Multimedia Metadata and Semantic Management

2009

This special issue assesses the current status and technologies and describes major challenges and proper solutions for effective multimedia production and management related to evolving Semantic Web strategies. The included articles, which cover different facets of the semantic management of multimedia and multimedia metadata from retrieval and processing to consumption and presentation, represent a step forward in research targeted at improving aspects of the semantic metadata life cycle.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySemanticsWorld Wide Web[SCCO.COMP] Cognitive science/Computer scienceSemantic computing0202 electrical engineering electronic engineering information engineeringMedia Technology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebImage retrieval[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineeringComputer Science ApplicationsMetadataSemantic grid[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Hardware and Architecture[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Signal Processing020201 artificial intelligence & image processingThe Internet[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]businessSoftware
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Qualifying semantic graphs using model checking

2011

International audience; Semantic interoperability problems have found their solutions using languages and techniques from the Semantic Web. The proliferation of ontologies and meta-information has improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of research concerns t…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesSocial Semantic Webtemporal logicSemantic similaritySemantic computing0202 electrical engineering electronic engineering information engineeringSemantic analyticsSemantic integrationSemantic Web StackInformation retrievalbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebSemantic search020207 software engineeringSemantic interoperability[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationModel-checking010201 computation theory & mathematicsSemantic graphTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligencebusinesscomputerNatural language processing2011 International Conference on Innovations in Information Technology
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Temporal Logic To Query Semantic Graphs Using The Model Checking Method

2012

International audience; Semantic interoperability problems have found their solutions due to the use of languages and techniques from the Semantic Web. The proliferations of ontologies and meta-information have improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling, and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of rese…

[INFO.INFO-WB] Computer Science [cs]/WebComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL.02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE]Ontology (information science)computer.software_genreQuery languagetemporal logic querySPARQLSocial Semantic WebSearch engineDescription logicSemantic similaritytemporal logicArtificial IntelligenceWeb query classificationSemantic computing0202 electrical engineering electronic engineering information engineeringInformation systemSemantic analyticsSPARQLSemantic Web StackRDFSemantic Webcomputer.programming_language[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]Web search querySemantic Web Rule LanguageProgramming languagebusiness.industry[INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC][INFO.INFO-WB]Computer Science [cs]/Web020207 software engineeringcomputer.file_formatSemantic interoperabilitymodel checking[ INFO.INFO-SC ] Computer Science [cs]/Symbolic Computation [cs.SC]Human-Computer InteractionSemantic graph020201 artificial intelligence & image processingbusinesscomputerSoftwareRDF query language
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Le phénomène de racial stacking, où comment (ré)interroger les mécanismes de discrimination dans les pratiques sportives ?

2018

National audience; Mes travaux s’articulent autour de la notion d’exclusion / d’inclusion, en lien notamment avec la question de l’appartenance catégorielle des individus et des relations intergroupes. Mon intervention s’intéressera plus spécifiquement au concept de racial stacking, c’est-à-dire à des faits observables de discrimination raciale repérés in situ. En lien avec ce phénomène, seront discutés le rôle de la catégorisation sociale dans le processus de discrimination, et l’impact des stéréotypes sur les individus et leur comportement.

[SHS.SOCIO]Humanities and Social Sciences/Sociology[SHS.SOCIO] Humanities and Social Sciences/Sociology[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationracial stackingsportInégalités socialesDiscrimination raciale
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Anomāliju noteikšana ELK Stack

2020

Ingas Kauliņas maģistra darba mērķis ir izpētīt ELK stack un Elastic SIEM uzbūvi un komponentes, veikt to salīdzinājumu ar citiem risinājumiem SIEM darbību veikšanai un izveidot ZZDats piemērotu risinājumu anomāliju noteikšanai ELK stack, ko varētu pielietot SIEM funkciju veikšanā. Mērķa sasniegšanai tika izpētītas dokumentācijas Elastic produkiem, dokumentācija Humio sistēmai, padziļinātāk aplūkota anomāliju noteikšana, Elastic SIEM, Humio, Oracle shēmā un mašīnmācīšanās pielietošana anomāliju noteikšanā, kā arī veikti secinājumi par izstrādātā risinājuma sniegtajām priekšrocībām. Darba gaitā, padziļinātāk pētot anomāliju noteikšanu izvēlētajās sistēmās, autore saskārās gan ar plusiem gan …

anomāliju noteikšanaElasticELK stackDatorzinātneSIEM
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New Polylactic Acid Composites Reinforced with Artichoke Fibers

2015

In this work, artichoke fibers were used for the first time to prepare poly(lactic acid) (PLA)-based biocomposites. In particular, two PLA/artichoke composites with the same fiber loading (10% w/w) were prepared by the film-stacking method: the first one (UNID) reinforced with unidirectional long artichoke fibers, the second one (RANDOM) reinforced by randomly-oriented long artichoke fibers. Both composites were mechanically characterized in tensile mode by quasi-static and dynamic mechanical tests. The morphology of the fracture surfaces was analyzed through scanning electron microscopy (SEM). Moreover, a theoretical model, i.e., Hill's method, was used to fit the experimental Young's modu…

biocompositeScanning electron microscopy (SEM)Materials scienceMorphology (linguistics)Scanning electron microscopequasi-static tensile testsDynamic mechanical analysis (DMA)Moduluslcsh:TechnologyArticlefilm stackingFilm stackingQuasi-static tensile testschemistry.chemical_compoundMaterials Science(all)Polylactic acidArtichoke fiberPLA; artichoke fiber; biocomposites; film stacking; quasi-static tensile tests; dynamic mechanical analysis (DMA); scanning electron microscopy (SEM)Ultimate tensile strengthmedicinescanning electron microscopy (SEM).General Materials ScienceFiberComposite materiallcsh:Microscopylcsh:QC120-168.85biocompositesBiocompositesartichoke fiberlcsh:QH201-278.5lcsh:TPLA; artichoke fiber; biocomposites; film stacking; quasi-static tensile tests; dynamic mechanical analysis (DMA); scanning electron microscopy (SEM).Stiffnessdynamic mechanical analysis (DMA)Settore ING-IND/22 - Scienza E Tecnologia Dei Materiali/dk/atira/pure/subjectarea/asjc/2500chemistrylcsh:TA1-2040PLAlcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringmedicine.symptomscanning electron microscopy (SEM)lcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971quasi-static tensile testMaterials
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Crystal structure of the borabenzene–2,6-lutidine adduct

2015

In the title compound, C12H14BN, the complete molecule is generated by a crystallographic twofold axis, with two C atoms, the B atom and the N atom lying on the rotation axis. The dihedral angle between the borabenzene and pyridine rings is 81.20 (6)°. As well as dative electron donation from the N atom to the B atom [B—N = 1.5659 (18) Å], the methyl substituents on the lutidine ring shield the B atom, which further stabilizes the molecule. In the crystal, weak aromatic π–π stacking between the pyridine rings [centroid–centroid separation = 3.6268 (9) Å] is observed, which generates [001] columns of molecules.

borabenzenecrystal structureStackingGeneral ChemistryCrystal structurebora­benzeneDihedral angleCondensed Matter PhysicsRing (chemistry)Data ReportsAdductlcsh:Chemistry[pi]-[pi] stackingchemistry.chemical_compoundCrystallographylcsh:QD1-999chemistryAtomPyridineGeneral Materials Science26-Lutidineπ–π stackingta116Acta Crystallographica Section E Crystallographic Communications
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