Abstract
This paper describes a preliminary experiment concerning the use of advanced Artificial Intelligence/Knowledge Representation techniques to improve the present formalization/digitization procedures of Cultural Heritage assets—with reference, in particular, to all types of Cultural Heritage “iconographic” entities. In this context, in agreement with the recent proposal to characterize the digital description of Cultural Heritage items making use of the notion of “Cultural Heritage Digital Twin”, we are mainly concerned with the possibility to consider not only the external, “physical”, aspects of these iconographic items but also the “message” they convey in a more or less explicit way. For our experiment, some aspects of the Mona Lisa painting by Leonardo da Vinci have been formalized, along with their context, making use of NKRL, the “Narrative Knowledge Representation Language”. NKRL is, in reality, both a Knowledge Representation language and a full Computer Science environment, used to represent/manage in an advanced way "narrative" (in the widest meaning of this word) information. The initial results of the experiment are described in the paper, along with some thoughts about their possible interest and developments.
Highlights
What is illustrated in this paper about the possibility of experimenting with new techniques of knowledge representation and querying/inferencing in the Cultural Heritage domain seems to be echoed in some recent wishes recently expressed by the European Commission
In the context of this experiment, NKRL has confirmed, both from a specific knowledge representation and an inferential point of view, its well-known generality and efficiency for the in-depth representation of any possible
To describe in a really expressive, complete and meaningful form this immaterial component, we cannot limit ourselves to utilize a simple description under metadata form or to make use of some knowledge representation tools unsuitable for representing complex situations/events, like the semantic web tools according to their traditional “binary” form
Summary
What is illustrated in this paper about the possibility of experimenting with new techniques of knowledge representation and querying/inferencing in the Cultural Heritage domain seems to be echoed in some recent wishes recently expressed by the European Commission. One of the two components of the twin should be devoted to the “physical” (according to the above general meaning of this word) description of the item, while the second should be used to represent the associated, “intangible (immaterial) message” transmitted by this item. Within this general framework, this paper presents some suggestions about the use of advanced Artificial Intelligence/Knowledge Representation techniques to improve the present formalization/digitization procedures of Cultural Heritage assets—with reference, in particular, to all types of Cultural Heritage “iconographic” entities.
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