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.

中文翻译：

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通过建模了解阅读现象

人文科学研究框架的大规模文化遗产数据集和计算方法是数字人文科学（DH）的两个支柱，该研究领域旨在将人文研究扩展到特定来源和特定时期以外，以解决有关广泛人类现象的宏观研究问题。在这方面，基于现象的跨学科“语言”的机器可读语义丰富的数据模型的开发对于实现研究数据的互操作性至关重要。本文作为EU JPI-CH项目“阅读欧洲高级数据调查工具”（READ-IT）的一部分，报告，记录和讨论了一种用于研究阅读体验的模型的开发。通过讨论阅读经验的READ-IT本体，这一贡献将突出并解决因支持文化遗产研究而建立的概念模型所产生的三个挑战。首先，这一贡献致力于多学科研究的建模。其次，这项工作根据先前项目的经验以及正在进行和将来的研究发展，描述了阅读经验的本体的发展。最后，这项贡献致力于在不断研究的背景下验证概念模型的有效性，缺乏统一的理论集和领域专家的共识。这项工作根据先前项目的经验以及正在进行和将来的研究发展，描述了阅读经验的本体的发展。最后，这项贡献致力于在不断研究的背景下验证概念模型的有效性，缺乏统一的理论集和领域专家的共识。这项工作根据先前项目的经验以及正在进行和将来的研究发展，描述了阅读经验的本体的发展。最后，这项贡献致力于在不断研究的背景下验证概念模型的有效性，缺乏统一的理论集和领域专家的共识。