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1、CrowdsourcingtasksinLinkedDatamanagementElenaSimperl1,BarryNorton2,andDennyVrandeciˇc´31;3InstituteAIFB,KarslruheInstituteofTechnology,Germany2OntotextAD,Bulgaria12elena.simperl@kit.edu,barry.norton@ontotext.com,3denny.vrandecic@kit.eduAbstract.ManyaspectsofLinkedDatamanagement–includingexp
2、osinglegacydataandapplicationstosemanticformats,designingvocabulariestodescribeRDFdata,identifyinglinksbetweenentities,queryprocessing,anddatacuration–arenecessarilytackledthroughthecombinationofhumaneffortwithalgorith-mictechniques.Intheliteratureontraditionaldatamanagementthetheoreticalan
3、dtechnicalgroundworktorealizeandmanagesuchcombinationsisbeinges-tablished.Inthispaperwebuilduponandextendtheseideastoproposeaframe-workbywhichhumanandcomputationalintelligencecanco-existbyaugmentingexistingLinkedDataandLinkedServicetechnologywithcrowdsourcingfunc-tionality.Startingfromamoti
4、vationalscenarioweintroduceasetofgenerictaskswhichmayfeasiblybeapproachedusingcrowdsourcingplatformssuchasAma-zon’sMechanicalTurk,explainhowthesetaskscanbedecomposedandtrans-latedintoMTurkprojects,androadmaptheextensionstoSPARQL,D2RQ/R2RandLinkedDatabrowsingthatarerequiredtoachievethisvisio
5、n.1IntroductionOneofthebasicdesignprinciplesinLinkedDataisthatitsusageinapplicationsshouldbeamenabletoahighlevelofautomation.StandardizedinterfacesshouldallowtoloaddatadirectlyfromtheWeb,resolvedescriptionsofunknownresources,andautomati-callyintegratedatasetspublishedbydifferentpartiesaccor
6、dingtovariousvocabularies.ButtheactualexperiencewithdevelopingapplicationsthatconsumeLinkedDatasoonrevealsthefactthatformanycomponentsofaLinkedDataapplicationthisishardlythecase,andthatmanyaspectsofLinkedDatamanagementremain,forprincipledortechnicalreasons,heavilyreliantonhumanintervention.
7、Thisincludesexposinglegacydataandapplicationstosemanticformats,designingvocabulariestodescribeRDFdata,identifyinglinksbetweenentities,vocabularymapping,queryprocessingoverdistributeddatasets,anddatacuration,tonameonlyseveralofthemoreprominentexamples.Ina
