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Antonini, Alessio; Suárez-Figueroa, Mari Carmen; Adamou, Alessandro; Benatti, Francesca; Vignale, François; Gravier, Guillaume and Lupi, Lucia
(2021).
DOI: https://doi.org/10.3233/SW-200396
Abstract
Large scale cultural heritage datasets and computational methods for the Humanities research framework are the two pillars of Digital Humanities (DH), a research field aiming to expand Humanities studies beyond specific sources and periods to address macro-scale research questions on broad human phenomena. In this regard, the development of machine-readable semantically enriched data models based on a cross-disciplinary “language” of phenomena is critical for achieving the interoperability of research data. This paper reports on, documents, and discusses the development of a model for the study of reading experiences as part of the EU JPI-CH project Reading Europe Advanced Data Investigation Tool (READ-IT). Through the discussion of the READ-IT ontology of reading experience, this contribution will highlight and address three challenges emerging from the development of a conceptual model for the support of research on cultural heritage. Firstly, this contribution addresses modelling for multi-disciplinary research. Secondly, this work describes the development of an ontology of reading experience, under the light of the experience of previous projects, and of ongoing and future research developments. Lastly, this contribution addresses the validation of a conceptual model in the context of ongoing research, the lack of a consolidated set of theories and of a consensus of domain experts.
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About
- Item ORO ID
- 71956
- Item Type
- Journal Item
- ISSN
- 1570-0844
- Project Funding Details
-
Funded Project Name Project ID Funding Body Reading Europe Advanced Data Investigation Tool AH/S000410/1 AHRC Arts & Humanities Research Council - Keywords
- Reading experience; conceptual modelling; experience ontology; digital humanities; modelling methods
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Arts and Social Sciences (FASS) > Arts and Humanities > English & Creative Writing
Faculty of Arts and Social Sciences (FASS) > Arts and Humanities
Faculty of Arts and Social Sciences (FASS) - Research Group
- Digital Humanities at the Open University (DH_OU)
- Copyright Holders
- © 2020 The Author(s)
- Depositing User
- Alessio Antonini