arXiv subjects

Manuele Veggi

Publications and source records attributed to Manuele Veggi.

2 recordsLinked to original sources

arXiv2025

State of the Art on Artificial Intelligence Resources for Interaction Media Design in Digital Cultural Heritage

This paper explores the integration of Artificial Intelligence (AI) in the design of interactive experiences for Cultural Heritage (CH). Previous studies indeed either miss to represent the specificity of the CH or mention possible tools without making a clear reference to a structured Interaction Design (IxD) workflow. The study also attempts to overcome one of the major limitations of traditional literature review, which may fail to capture proprietary tools whose release is rarely accompanied by academic publications. Besides the analysis of previous research, the study proposes a possible workflow for IxD in CH, subdivided into phases and tasks: for each of them, this paper proposes possible AI-based tools that can support the activity of designers, curators, and CH professionals. The review concludes with a final section outlining future paths for research and development in this domain.

cs.HC↗

arXiv2024

A First Ontological Model for the Description of the Art Market in the Semantic Web

This dissertation presents the first version of a project at the Fondazione Federico Zeri, aimed at modelling the art market starting from the recognition of the peculiarities of this sector and relying on the data collected by this institute during its research activities on its documentary collection. Specifically, this study describes the development of an ontology, able to describe agents, events and sources which define the art market and enable its investigation. The recognition of existing conceptual models is hence followed by the description of the adopted methodology, based on the protocol SAMOD. The central section provides a general overview of the final ontology, integrating the results of a preliminary study. Lastly, the appendix lists motivating scenarios, examples and competency questions collected during the first SAMOD iterations, as well as a first alignment with existing models.

cs.DL↗