A REVIEW OF THE CULTURAL HERITAGE LINKED OPEN DATA ONTOLOGIES AND MODELS

Abstract

Abstract. In recent years, there has been a trend towards synergies among cultural heritage institutions, such as GLAM (Galleries, Libraries, Archives & Museums) collaborations in the field of information resource management. These institutions have been actively promoting the construction of digital humanities projects. Such projects primarily target data resource construction and digital humanities services, which are in line with the service functions of GLAM institutions. With the development of networking and digitisation, museums have been making more prominent contributions to knowledge sharing and dissemination.Digital technology has brought about profound changes in the academic research environment. The expansion of traditional research and the emergence of new questions in the digital environment have promoted novel perspectives, thinking, and methods. With the increase in digitisation of cultural heritage, the scale of data has grown rapidly, and the types of data available have been continuously enriched, from knowledge aggregation to knowledge organization and even knowledge transmission. Therefore, it is necessary to examine the tools of digital humanities, which constitute an important means of knowledge production, and to work with traditional GLAM institutions to promote digital thinking and interdisciplinary knowledge integration methods. At the technical level, methods such as knowledge graphs and ontologies are used to construct a multi-layered and systematic knowledge system. This paper presents a review focused on three cultural heritage models, CIDOC CRM, Europeana and the Sampo Model, and reflects on three aspects of the current models: technical framework construction, digital resources, and service systems.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 17 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.