scholarly journals Conceptual Encoding and Advanced Management of Leonardo da Vinci’s Mona Lisa: Preliminary Results

Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 321
Author(s):  
Amelio ◽  
Zarri

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.

2020 ◽  
Vol 14 (27) ◽  
pp. 452
Author(s):  
Marina dos Santos Galli
Keyword(s):  
Da Vinci ◽  

O presente artigo discorre sobre o poder do objeto material inserido no contexto cultural e social, exemplificado pelo quadro renascentista pintado por Leonardo da Vinci, a Mona Lisa. Mais de 500 anos se passaram desde sua criação e seus enigmas continuam a intrigar estudiosos e curiosos pelo assunto. Entre as incertezas de sua origem e de sua unicidade, o estudo sobre esta obra de arte é, ao mesmo tempo, uma investigação sobre o passado e uma referência do presente. Investigação sobre o passado por seu caráter simbólico dentro da história da arte e da cultura do Renascimento italiano, e referência do presente por evidenciar a relevância do estudo da cultura material para o entendimento da sociedade.


2019 ◽  
pp. 69-96
Author(s):  
Stanley J. Rabinowitz

This is the longest and richest chapter from Volynsky’s revisionist 1898 study of Leonardo da Vinci and the Renaissance milieu which gave birth to him. Passionately, almost manically written, this piece constitutes Volynsky’s moral and aesthetic response to Leonardo’s painting, which he visited and studied at the Louvre. La Gioconda is clinically deconstructed, and the painting is seen as an example of corrupt beauty and demonic character, a precursor of the Nietzschean decadence and degeneration of the day, which Volynsky fully rejects. Filled with what can be called Volynsky’s sexuality of observation, the writing looks ahead to the critic’s later appreciation of dance, which was more than merely a supremely intellectual endeavor.


1997 ◽  
Vol 3 (2) ◽  
pp. 231-253 ◽  
Author(s):  
GIAN PIERO ZARRI

In this paper, we describe NKRL (Narrative Knowledge Representation Language), a language designed for representing, in a standardized way, the semantic content (the ‘meaning’) of complex narrative texts. After having introduced informally the four ‘components’ (specialized sub-languages) of NKRL, we will describe (some of) the data structures proper to each of them, trying to show that the NKRL coding retains the main informational elements of the original narrative expressions. We will then focus on an important subset of NKRL, the so-called AECS sub-language, showing in particular that the operators of this sub-language can be used to represent some sorts of ‘plural’ expressions.


2014 ◽  
Vol 14 (4-5) ◽  
pp. 587-601 ◽  
Author(s):  
MICHAEL GELFOND ◽  
YUANLIN ZHANG

AbstractThe paper presents a knowledge representation language $\mathcal{A}log$ which extends ASP with aggregates. The goal is to have a language based on simple syntax and clear intuitive and mathematical semantics. We give some properties of $\mathcal{A}log$, an algorithm for computing its answer sets, and comparison with other approaches.


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