Digitisation has changed archaeology deeply and has increased exponentially the amount of data that could be processed, but it does not by itself involve datafication, which is the act of transforming something (objects, processes, etc.) into a quantified format, so they can be tabulated and analysed. Datafication fits a Big Data approach and promises to go significantly beyond digitisation. To datafy archaeology would mean to produce a flow of data starting from the data produced by the archaeological practice, for instance, locations, interactions and relations between finds and sites. The ArchAIDE project goes exactly in this direction. ArchAIDE is a H2020 funded project (2016-2019) that will realise a tool for recognising archaeological...
This poster was presented in the colloquium Digital Archaeology Bern 2023 that took place in Bern (S...
Archaeology operates in an increasingly data-mediated world in which data drive knowledge and action...
In the current trend for e-Science, i.e. collaborative, computationally- or data-intensive research,...
Digitisation has changed archaeology deeply and has increased exponentially the amount of data that ...
Digitisation has changed archaeology deeply. In the last years, the continuous development of IT tec...
Usually defined as high volume, high velocity, and/or high variety data, Big Data permit us to learn...
Archaeological data is always incomplete, frequently unreliable, often replete with unknown unknowns...
Archaeological data is always incomplete, frequently unreliable, often replete with unknown unknowns...
Archaeological data is what economists call a ‘non-rivalrous’ good: it can be processed again and ag...
This paper deals with the integration of large data sets in Roman archaeological research. Starting ...
Ce thèse se situe au contact pluridisciplinaire: d'une part, l'histoire de la société et l'occupatio...
Ce thèse se situe au contact pluridisciplinaire: d'une part, l'histoire de la société et l'occupati...
The storage of archaeological data in, and their retrieval from, relational databases are by now ess...
ArchAIDE is a European Union Horizon 2020 research and innovation programme which aims to create a n...
Archaeology operates in an increasingly data-mediated world in which data drive knowledge and action...
This poster was presented in the colloquium Digital Archaeology Bern 2023 that took place in Bern (S...
Archaeology operates in an increasingly data-mediated world in which data drive knowledge and action...
In the current trend for e-Science, i.e. collaborative, computationally- or data-intensive research,...
Digitisation has changed archaeology deeply and has increased exponentially the amount of data that ...
Digitisation has changed archaeology deeply. In the last years, the continuous development of IT tec...
Usually defined as high volume, high velocity, and/or high variety data, Big Data permit us to learn...
Archaeological data is always incomplete, frequently unreliable, often replete with unknown unknowns...
Archaeological data is always incomplete, frequently unreliable, often replete with unknown unknowns...
Archaeological data is what economists call a ‘non-rivalrous’ good: it can be processed again and ag...
This paper deals with the integration of large data sets in Roman archaeological research. Starting ...
Ce thèse se situe au contact pluridisciplinaire: d'une part, l'histoire de la société et l'occupatio...
Ce thèse se situe au contact pluridisciplinaire: d'une part, l'histoire de la société et l'occupati...
The storage of archaeological data in, and their retrieval from, relational databases are by now ess...
ArchAIDE is a European Union Horizon 2020 research and innovation programme which aims to create a n...
Archaeology operates in an increasingly data-mediated world in which data drive knowledge and action...
This poster was presented in the colloquium Digital Archaeology Bern 2023 that took place in Bern (S...
Archaeology operates in an increasingly data-mediated world in which data drive knowledge and action...
In the current trend for e-Science, i.e. collaborative, computationally- or data-intensive research,...