forexternaldatasetsthatcouldenrichtheexistingdemandforecasting
externaldataset;
model.Mediaevents,keywordsweextractedfromthem,andmetadata
• ForecastExplanation:adescriptionprovidingreasonsforacertain
regardingexternaldatasetsarepersistedtotheKnowledgeGraphand
forecast.RelatestoaspecificPrediction,MediaReportedEvent,and
linkedtospecificfeaturesfromfeaturevectorinstances.Wesummarize
ExternalDatasetMetadata;
theproceduredescribedaboveinFig.2.
• Attribute:aquantitydescribinganinstance;
Finally,(IV)isrealizedbyprovidingamulti-partexplanation,where
• Attributeabstraction:ahigh-levelconceptdescribingsomeaspect
components are displayed or hidden, based on what information is
ofadatasetattribute;
relevanttotheend-userorconfidentialitypolicies.Thisresponsibility
• Feature Vector: a vector containing attribute values describing
isdelegatedtotheServiceAPI.E.g.,atargetaudiencecouldbeplanners
interested in the demand forecast, associated uncertainty, and some
certainaninstanceofdata;
Knowledge-graph-based-rich-and-confidentiality-preserving-Ex_2022_Informatio