thathasmonitoredmainstreammediasince2014.Ourqueriesconsider
thekeywordsthatdescribeeachfeatureandthepoint-in-timeinwhich
each feature component took place. E.g., suppose a feature considers
(I)GDPvaluesthreeandfifteenmonthsbeforetheforecastinghorizon
and (II) demand four months before the forecasting horizon. In that
case, the query will ask (I) for media events related to GDP at three
andfifteenmonthsbeforetheforecastinghorizonand(II)mediaevents
regardingdemandfourmonthsbeforetheforecastinghorizon.
WeconsideredonlymediaeventsreportedintheEnglishlanguage.
Once obtained, we processed them to identify and lemmatize nouns
that provide insights on the most important facts related to the fea-
tures. We also use these nouns to query for open datasets that may
enrichthecurrentmodel.Inparticular,wequeriedtheEUOpenData
Portal [108], a portal that provides access to open data published
by EU institutions and bodies. For each matching external dataset
Knowledge-graph-based-rich-and-confidentiality-preserving-Ex_2022_Informatio