Search results for "RETRIEVAL"

showing 10 items of 1176 documents

Reply to Z Weizman.

2013

Nutrition and DieteticsInformation retrievalMilk HumanColostrumMedicine (miscellaneous)BiologyDelivery ObstetricGram-Positive BacteriaPregnancyGram-Negative BacteriaHumansLactationFemaleObesityThe American journal of clinical nutrition
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Classification and retrieval on macroinvertebrate image databases

2011

Aquatic ecosystems are continuously threatened by a growing number of human induced changes. Macroinvertebrate biomonitoring is particularly efficient in pinpointing the cause-effect structure between slow and subtle changes and their detrimental consequences in aquatic ecosystems. The greatest obstacle to implementing efficient biomonitoring is currently the cost-intensive human expert taxonomic identification of samples. While there is evidence that automated recognition techniques can match human taxa identification accuracy at greatly reduced costs, so far the development of automated identification techniques for aquatic organisms has been minimal. In this paper, we focus on advancing …

NymphAquatic OrganismsInsectaDatabases FactualComputer scienceBayesian probabilityta1172Health InformaticsMachine learningcomputer.software_genreData retrievalRiversSupport Vector MachinesImage Processing Computer-AssistedAnimalsMultilayer perceptronsEcosystemta113Network architectureBenthic macroinvertebrateta112Artificial neural networkta213business.industryBayesian networkBayes TheoremPerceptronClassificationRadial basis function networksComputer Science ApplicationsSupport vector machineBiomonitoringBayesian NetworksData miningArtificial intelligenceNeural Networks ComputerbusinesscomputerClassifier (UML)AlgorithmsEnvironmental MonitoringComputers in Biology and Medicine
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94P ESCAT ranking of genomic alterations collected in the Italian Registry of Actionable Mutations

2021

Oncologybusiness.industryMedicineHematologyComputational biologybusinessRanking (information retrieval)Annals of Oncology
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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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A Survey on Ontology Evaluation Methods

2015

International audience; Ontologies nowadays have become widely used for knowledge representation, and are considered as foundation for Semantic Web. However with their wide spread usage, a question of their evaluation increased even more. This paper addresses the issue of finding an efficient ontology evaluation method by presenting the existing ontology evaluation techniques, while discussing their advantages and drawbacks. The presented ontology evaluation techniques can be grouped into four categories: gold standard-based, corpus-based, task-based and criteria based approaches.

Ontology Inference Layer[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text ProcessingComputer sciencecomputer.internet_protocolProcess ontology[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)OWL-S[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]EvaluationInformation retrievalOntologyOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]computerOntology alignmentSemantic web
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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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Query expansion and semantic visualization in information system cooperations : methods and tools for information retrieval

2010

This thesis presents approaches and tools for information retrieval. Our work is part of a cooperation system based on ontologies called OWSCIS (Ontology and Web Service based Cooperation of Information Sources). We treat the problem of information retrieval by providing an enrichment method called QUEXME (QUery EXpansion MEthod) of queries based on analysis of user behavior and using the concept importance notion with regards to query. We also discussed the problem of visualization in the OWSCIS system offering a architecture of service visualization. It is composed of three modules: the request, enrichment and results. The approaches proposed in this thesis have been prototyped and the te…

Ontology[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]OntologieRecherche d'informationArchitecture de coopérationInformation system[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]VisualisationSystème d'information[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Information retrievalQuery enrichmentWeb sémantiqueSemantic webVisualizationCooperation architectureEnrichissement de requêtes
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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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Diversification and performance in the mobile app market: The role of the platform ecosystem

2019

Abstract We examine the effect of app developers' product line diversification decision on their performance and shed light on whether the type of platform ecosystem (open versus closed) where they commercialize apps influences this effect. We compare the revenue performance of diversified and specialized developers in Apple's App Store and Google Play. We show that in the Apple's App Store (closed platform) diversified developers always display lower performance than their specialized counterparts. In Google Play (open platform) diversification is beneficial in categories where diversified developers have predominant market share, whereas it is detrimental in categories dominated by specia…

Open platformKnowledge management020209 energyInformationSystems_INFORMATIONSTORAGEANDRETRIEVALInformation technology02 engineering and technologyDiversification (marketing strategy)App storeManagement of Technology and Innovationmental disorders0502 economics and business0202 electrical engineering electronic engineering information engineeringRevenueEcosystemBusiness and International ManagementMarket shareMobile app marketApplied Psychologybusiness.industry05 social sciencesInformation technologySettore ING-IND/35 - Ingegneria Economico-GestionaleClosed platformPlatform ecosystemDiversificationbusiness050203 business & managementTechnological Forecasting and Social Change
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