Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Ontology and Software Tools for the Formalization of the Visualisation of Cultural Heritage Knowledge Graphs

Version 1 : Received: 2 May 2023 / Approved: 3 May 2023 / Online: 3 May 2023 (07:30:35 CEST)

A peer-reviewed article of this Preprint also exists.

Sevilla, J.; Samper, J.J.; Fernández, M.; León, A. Ontology and Software Tools for the Formalization of the Visualisation of Cultural Heritage Knowledge Graphs. Heritage 2023, 6, 4722-4736. Sevilla, J.; Samper, J.J.; Fernández, M.; León, A. Ontology and Software Tools for the Formalization of the Visualisation of Cultural Heritage Knowledge Graphs. Heritage 2023, 6, 4722-4736.

Abstract

In the last decade several projects have been developed for the digitization and semantization of cultural heritage data. They were developed to preserve and maintain this heritage, but bringing it closer to all types of users and allowing access to this information to other sectors such as tourism, education, etc. In these developments, web technologies are combined, along with the use of knowledge graphs and interactive visualisation tools. Although remarkably interesting projects have been developed, in those projects, the data visualization tools are usually focused on the project context. This makes it difficult to reuse these jobs. Additionally, there are peculiarities of cultural heritage data considered with little depth, such as uncertainty, spatial and temporal granularity, as well as other aspects, such as relationships between data. In this article, these problems are described and based on other works such as VUMO or VISO, the design of an ontology that formalizes how to visualise this information is proposed, considering these problems. In addition, the development of a platform that allows the visualisation of this information through a web application and its evaluation of its use in projects such as SILKNOW, or Arxiu Valencià del Disseny is exposed

Keywords

data visualization; knowledge graph; cultural heritage

Subject

Computer Science and Mathematics, Computer Vision and Graphics

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