Kolejny publiczny wykład (w języku angielskim) organizowany przez europejskie projekty IPERION HS i ERIHS IP tym razem poświęcony będzie wyzwaniom i korzyściom płynącym z synergicznej analizy danych cyfrowych pozyskiwanych z zastosowania różnorodnych metod badawczych w stosunku do tego samego obiektu.
Wykład zaprezentowany zostanie on-line przez dr Livio De Luca (CNRS) w czwartek 22 czerwca o 15:00 (naszego czasu).
Abstract:
Cultural heritage research makes the confrontation between material objects and multidisciplinary studies the arena for the production of collective knowledge. In the digital age, this is then a privileged setting for the study of the collective analysis and interpretation of facts, objects and phenomena, bringing together a new generation of data to build new scientific and cultural resources – our tomorrow’s heritage. How can one memorise these bundles of individual gazes directed at one and the same object of study? How to analyse their dynamics of construction, overlap and fusion leading to new knowledge? Our research introduces a new field – a field of multidisciplinary and multidimensional digital data – as raw material for studying the mechanisms of knowledge production in heritage science. With an innovative approach to computational modelling and digitisation, we’re using the exceptional experimental setting of the Notre-Dame de Paris scientific action (involving 175 researchers from disciplines such as archaeology, anthropology, architecture, history, chemistry, physics and computer science) to build a corpus of data on scientific practises in cultural heritage research in the digital age.
By introducing and experimenting next-generation methods and tools for the semantically-enriched data production and analysis, we aim to shift the cursor of digitisation from the physical object to knowledge about the object, in order to analyse the interdependence between the complex features of the material object and the associated knowledge objects built by scholars through their research practises.
You will learn
- How to collect and structure heritage science data within a collaborative framework
- How to integrate geometry, visual and semantics within digital representations
- How to link material objects with objects of knowledge
Key topics we’ll cover
- Multimodal 3D digitisation applied to architecture and archaeology
- Semantic annotation and structuring of multi-dimensional data
- Knowledge formalisation, data curation and analysis in cultural heritage
- Knowledge engineering, machine learning, content classification and retrieval
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Link to listy wszystkich wykładów planowanych do czerwca 2023.