Search results for "Extraction"

showing 10 items of 2072 documents

Natural Language-Based Knowledge Extraction in Healthcare Domain

2019

There is a growing amount of data in the databases of hospitals. These data could be exploited to alleviate the decision-making process of hospital managers, physicians and researchers. However, these types of end-users often lack the expertise necessary for extracting those data from the database. Several approaches exist in the field of how to allow non-programmers writing queries in a convenient manner, but none of them has yet reached fully satisfactory results. This paper sketches a solution to this problem by introducing means for writing queries in a keywords-containing natural language thus alleviating the query writing process for the end-user. Introducing this approach in the know…

Knowledge extractionComputer sciencebusiness.industryProcess (engineering)Health careWriting processQuery languagebusinessData scienceField (computer science)Natural languageDomain (software engineering)Proceedings of the 2019 3rd International Conference on Information System and Data Mining
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Knowledge management challenges in knowledge discovery systems

2006

Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting the most appropriate technique(s) for a problem at hand, since in the real domain area it is infeasible to perform a comparison of all applicable techniques. The main goal of this paper is to consider the limitations of data-driven approaches and propose a knowledge-driven approach to enhance the use of multiple data-mining strategies in a knowledge discovery system. We introduce the concept of (meta-) knowledge management, which is aimed to organize a systematic process of (meta-) knowledge capture and refinement o…

Knowledge managementCommonsense knowledgebusiness.industryComputer scienceData managementKnowledge engineeringOpen Knowledge Base ConnectivityMathematical knowledge managementData scienceKnowledge-based systemsKnowledge extractionKnowledge basePersonal knowledge managementSoftware miningDomain knowledgebusiness
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Comparing the applicability of two learning theories for knowledge transfer in information system implementation training

2004

This study reviews two traditional learning theories from the viewpoint of knowledge transfer in information system implementation training. The main goal of this study is to determine which is more applicable from the view of knowledge transfer in this context. In this study, behaviourist learning theory is found suitable for the transfer of data and information. Being more learner-centered, constructivist learning theory suits better for information system implementation training, as it enables combining system specific knowledge with knowledge of the existing organisational processes. This creates new organisation-specific knowledge necessary for the effective use of the information syst…

Knowledge managementbusiness.industryComputer scienceKnowledge engineeringOpen Knowledge Base ConnectivityKnowledge value chainMathematical knowledge managementProcedural knowledgeConstructivist teaching methodsBody of knowledgeKnowledge-based systemsKnowledge baseKnowledge extractionKnowledge integrationOrganizational learningInformation systemLearning theoryPersonal knowledge managementDomain knowledgebusinessKnowledge transferIEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.
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Knowledge Discovery from the Programme for International Student Assessment

2017

The Programme for International Student Assessment (PISA) is a worldwide study that assesses the proficiencies of 15-year-old students in reading, mathematics, and science every three years. Despite the high quality and open availability of the PISA data sets, which call for big data learning analytics, academic research using this rich and carefully collected data is surprisingly sparse. Our research contributes to reducing this deficit by discovering novel knowledge from the PISA through the development and use of appropriate methods. Since Finland has been the country of most international interest in the PISA assessment, a relevant review of the Finnish educational system is provided. T…

Knowledge managementmedia_common.quotation_subjectknowledge discoveryBig dataLearning analytics02 engineering and technologyKnowledge extractionbig data020204 information systemsReading (process)Political science0202 electrical engineering electronic engineering information engineeringMathematics educationQuality (business)Cluster analysismedia_commonStatistical hypothesis testinglearning analyticsbusiness.industry05 social sciencesPISA050301 educationTest (assessment)businesshierarchical clustering0503 education
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Feature Ranking of Large, Robust, and Weighted Clustering Result

2017

A clustering result needs to be interpreted and evaluated for knowledge discovery. When clustered data represents a sample from a population with known sample-to-population alignment weights, both the clustering and the evaluation techniques need to take this into account. The purpose of this article is to advance the automatic knowledge discovery from a robust clustering result on the population level. For this purpose, we derive a novel ranking method by generalizing the computation of the Kruskal-Wallis H test statistic from sample to population level with two different approaches. Application of these enlargements to both the input variables used in clustering and to metadata provides a…

Kruskal-Wallis testComputer scienceCorrelation clusteringPopulation02 engineering and technologycomputer.software_genreMachine learning01 natural sciencesRanking (information retrieval)010104 statistics & probabilityKnowledge extractionCURE data clustering algorithmpopulation analysisRanking SVM0202 electrical engineering electronic engineering information engineeringTest statistic0101 mathematicseducational knowledge discoveryeducationCluster analysiseducation.field_of_studybusiness.industryRanking020201 artificial intelligence & image processingData miningArtificial intelligencerobust clusteringbusinesscomputer
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Quantitative determination of octylphenol, nonylphenol, alkylphenol ethoxylates and alcohol ethoxylates by pressurized liquid extraction and liquid c…

2007

6 páginas, 1 figura, 2 tablas.

LC-APCI-MSEnvironmental EngineeringAlkylphenolBiosolidssurfactantsMass Spectrometrychemistry.chemical_compoundPhenolsLiquid chromatography–mass spectrometryEnvironmental ChemistrySoil PollutantsFertilizersWaste Management and DisposalChromatographySewageExtraction (chemistry)Amended soilPollutionSoil contaminationNonylphenolchemistryEnvironmental chemistrySoil waterEthylene GlycolsSludgesoil contaminationChromatography LiquidEthersThe Science of the total environment
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Quantification des Brettanomyces par qPCR

2017

International audience; Brettanomyces bruxellensis est une levure d’altération du vin avec de faibles besoins nutritionnels, résistante à l’éthanol et aux faibles pH, lui permettant une implantation en vin durant ou après la fermentation alcoolique (Conterno et al., 2006). B. bruxellensis est capable de produire des phénols volatils (éthyl-4-phénol, éthyl-4-gaïacol et éthyl-4-catéchol) (Oelofse et al., 2008). Ces molécules volatiles odorantes amènent un caractère phénolé et animal au vin connu sous le nom de « caractère Brett ». D’autres molécules (2-acétyltétrahydropyridine et 2-éthyltétrahydropyridine) produites par B. bruxellensis sont également responsables d’une déviation organoleptiqu…

Laboratoirekits commerciauxPCR quantitativeVin rouge[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringExtraction d'ADN[SDV.IDA] Life Sciences [q-bio]/Food engineeringBordeauxCôtes-du-Rhône[SDV.IDA]Life Sciences [q-bio]/Food engineeringBrettanomycesbruxellensisBourgogneFiabilitéRépétabilitéReproductibilité
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Effect of different mineral salt mixtures and dough extraction procedure on the physical, chemical and microbiological composition of Şalgam: A black…

2021

NaCl is utilized in Salgam at 1-2% (w/w). The aim of this study was to reduce the NaCl content by addition of different concentrations of KCl and CaCl2 during production and evaluate their effects on quality. An innovation in production process was also employed, specifically dough extraction and use of the resulting liquid as a starter inoculum. Lactic acid bacteria (LAB) species (13) were identified using a combined approach of (RAPD)-PCR and 16S rRNA gene sequencing. Lactobacillus paracasei and Lactobacillus plantarum were dominant, but Leuconostoc mesenteroides subsp. jonggajibkimchii, Lactococcus lactis subsp. cremoris, Lactobacillus coryniformis subsp. coryniformis, Lactobacillus para…

Lactobacillus paracaseiColorLactobacillus paraplantarumSodium ChlorideAnalytical ChemistryPotassium Chloridechemistry.chemical_compoundCalcium ChlorideLactobacillalesRNA Ribosomal 16SFermented Foods and BeveragesFood scienceMineralsbiologyChemistryExtraction (chemistry)Lactococcus lactisfood and beveragesSodium DietaryGeneral Medicinebiology.organism_classificationLactic acidRandom Amplified Polymorphic DNA TechniqueDaucus carotaLactococcus lactisLeuconostoc mesenteroidesFood MicrobiologybacteriaFermentationFermented FoodsLactobacillus plantarumLeuconostocFood ScienceSettore AGR/16 - Microbiologia Agraria
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Embedded controlled language to facilitate information extraction from eGov policies

2015

The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs.

Language identificationNatural language user interfacebusiness.industryComputer scienceNatural language programmingcomputer.software_genrelanguage.human_languageInformation extractionUniversal Networking LanguageControlled natural languageQuestion answeringlanguageArtificial intelligencebusinesscomputerNatural language processingNatural languageProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
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Fast preparation and gas-chromatographic separation of lanthanide and actinide hexafluoroacetylacetonates

1986

A fast method for the separation of lanthanide elements by gas chromatography of their hexafluoroacetylacetonates is described. Individual lanthanides can be isolated within a few minutes, and the whole group can be separated in less than 10 min. The hexafluoroacetylacetonates are applied in form of mixed complexes with tri-n-butyl phosphate or trioctylphosphine oxide prepared by fast extraction into quasi-solid solvents. The applicability of this method for the separation of trivalent actinide elements is shown, including the fast preparation of thin counting samples.

LanthanideClinical BiochemistryExtraction (chemistry)TrioctylphosphineAnalytical chemistryGeneral MedicineActinideAnalytical Chemistrychemistry.chemical_compoundChromatographic separationchemistryGeneral Materials ScienceGas chromatographyTrioctylphosphine oxideFresenius' Zeitschrift für analytische Chemie
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