专门用于网络数据的架构框架：BREAL 的扩展和增强.pdf

1、Web Intelligence Network ConferenceFrom Web to Data4-5 February 2025 GDANSK-POLAND A specialised architectural framework for web data:the BREAL extension and enhancementOlav ten Bosch(CBS),Romain Lesur(INSEE),Sonia Quaresma(INE),Francesca Inglese,Annalisa Lucarelli,Renato Magistro,Giulio Massacci,Gi

2、useppina Ruocco(ISTAT)Outlineo Background overviewo Development of the WIH:Core concepts o BREAL Business Functionso BREAL Analysiso BREAL and the project use cases o BREAL and the OBEC/OJA Workflowso BREAL Enhancemento BREAL Extensiono Conclusions&lessons learntBackground overviewObjectives of the

3、ESSnet Web Intelligence Network(WIN)launched in 2021Establish the Web Intelligence Network(WIN)for integrating Web datasources in national statistical production systemsDevelop the Web Intelligence Hub(WIH),a common infrastructure,to sharetools and technologies for collecting and processing web data

4、 servicesThe WIH as:Service provider for Web datacollection and processingWeb data repositoryEnvironmentforWebdataprocessingWIH implementation&official statistical standardsBusiness and functional requirements of the WIH vsBREAL framework(Big Data REferenceArchitecture and Layers)Development of the

5、WIH:Core conceptsRoles&ActorsWIH ArchitectureBREALUsersstoriesStatisticsfrom web data sourcesin productionWIH functionalities&RequirementsWIH Use casesBuilding TSS framework&capabilitiesStatistical domainsSource:Scannapieco M.,Bogdanovits F.,Gallois F.;Fischer B.et al.(2019):BREAL.Big Data Reference

6、 Architecture and Layers.Version 2019-12-09.Edited by EUROSTATBREAL Business FunctionsTop down vs Bottom-up approachAnalysis of the business layer(WHAT),to specify the functional requirementsof the WIH services and enhancinguser experienceBREAL AnalysisEnhancement&Extension(E&E)of the BREAL framewor