Affiliation:
1. The Open University
2. Max Planck Institute for Art History
3. Universidad Politécnica de Madrid
Abstract
Modelling the knowledge behind human experiences is a complex process: it should take into account, among others, the activities performed, human observations and the documentation of the evidence. To represent this knowledge in a declarative way means to support data interoperability in the context of cultural heritage artefacts, as linked datasets on experience documentation have started to appear. With this objective in mind, we describe a study based on an ontology design pattern for modelling experiences through observations, which are considered indirect evidence of a mental process (i.e., the experience). This pattern highlights the structural differences between types of experiential documentation, such as diaries and social media, providing a guideline for the comparability between different domains and for supporting the construction of heterogeneous datasets based on an epistemic compatibility. We have performed not only a formal evaluation over the pattern but also an assessment through a series of case studies. This approach includes (a) the analysis of interoperability among two case studies (reading through social media and historical sources); (b) the development of an ontology for collecting evidences of reading, which reuses the proposed pattern; and (c) the inspection of experience in humanities datasets.
Funder
Reading Europe—Advanced Data Investigation Tool
JPI Cultural Heritage
European Union Horizon 2020 Research and Innovation programme
Arts and Humanities Research Council
Agencia Estatal de Investigación del MINECO y Fondos FEDER
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Information Systems,Conservation
Cited by
1 articles.
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