Embedding World’s Heritage Knowledge in Semantic Databases
Call for Papers
Chair: Lorenzo CECCON
(Politecnico di Milano, Italy)
Keywords: CH, AI, Semantic Web, Ontologies, Taxonomies
As Bruno Latour noted (Visualisation and Cognition: Drawing Things Together, 1985) as to the specificities of visualization underlying the scientific and industrial revolution “the phenomenon we are tackling is not inscription per se, but the cascade of ever simplified inscriptions […]. For example […] the taxonomy of plants is all contained in a famous series of books at Kew Garden, but the manipulation of this book is as difficult as that of the old manuscripts since it exists in only one location; another computer […] now […] provide as many copied versions as possible of the taxonomic inventory”. In other words, the ability to create a shared standard, allowing for “concentrating files written in a homogeneous and combinable form” in this perspective is at the root of scientific knowledge accrual and purposeful deployment.
In the times of Semantic Web and Artificial Intelligence one important question in the field of Cultural Heritage may then be how to imagine and share the meta-knowledge of taxonomies and ontologies as a common ground to help accruing knowledge and deploy it, especially in view of leveraging the insight of each piece of research carried forward around the globe. These are not neutral lenses: how to structure and agree on them, in view of an exponential knowledge advancement, especially through the help of AI? Can AI help (itself)?
This session will dig into the research endeavours in the field of Cultural Heritage which structure knowledge along clear and shareable metrics. What are the solutions utilized or proposed? Are there alternative paradigms? What is or may be the relationship between old taxonomies and new ontologies? How can we integrate Machine Learning predictive features, and their potential for extending and weaving together knowledge from sparce research efforts, with the advancement in the construction of scientific systematic (and possibly open) knowledge?
Target Audience: researchers and practitioners in the fields of Cultural Heritage, Data Science, Epistemology
Send us your submission until July 30, 2021