PORTO @ Archivio Istituzionale della Ricerca

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LargescaleculturalheritagedatasetsandcomputationalmethodsforthehumanitiesresearchframeworkarethetwopillarsofDigitalHumanities(DH),aresearchfieldaimingtoexpandhumanitiesstudiesbeyondspecificsourcesandperiodstoaddressmacroscoperesearchquestionsonbroadhumanphenomena.Inthisregard,thedevelopmentofmachine-readablesemanticallyenricheddatamodelsbasedonacross-disciplinary“language”ofphenomenaiscriticalforachievingtheinteroperabilityofresearchdata.Thispaperreports,documents,anddiscussesthedevelopmentofamodelforthestudyofreadingexperiencesaspartoftheEUJPI-CHprojectReadingEuropeAdvancedDataInvestigationTool(READ-IT).ThroughthediscussionoftheREAD-ITontologyofreadingexperience,thiscontributionwillhighlightandaddressthreechallengesemergingfromthedevelopmentofaconceptualmodelforthesupportofresearchonculturalheritage.Firstly,thiscontributionaddressesmodellingformulti-disciplinaryresearch.Secondly,thisworkaddressesthedevelopmentofanontologyofreadingexperience,underthelightoftheexperienceofpreviousprojects,andofongoingandfutureresearchdevelopments.Lastly,thiscontributionaddressesthevalidationofaconceptualmodelinthecontextofongoingresearch,thelackofaconsolidatedset of theories and of a consensus of domain experts.

Understanding the phenomenology of reading through modelling / Antonini, Alessio; Suárez-Figueroa, Mari Carmen; Adamou, Alessandro; Benatti, Francesca; Vignale, François; Gravier, Guillaume; Lupi, Lucia. - In: SEMANTIC WEB. - ISSN 1570-0844. - ELETTRONICO. - Special Issue on Semantic Web for Cultural Heritage(2020).

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