Morphological variability and standardisation of vessel shapes in the 2nd and first half of the first millennium BC in continental Italy
A data science and machine learning project for the quantitative study of archaeological ceramic profiles
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ISBN: 979-12-5995-084-0
Collana: ADRIAS - 18
Autori: Lorenzo Cardarelli
Edizione: 2024
F.to: 22,5 × 28,00 cm.
Pagine: 180
ill. b/n e col.
Descrizione
Volume pubblicato con i fondi del progetto:
Changes – Cultural Heritage Active Innovation for Sustainable Society –
Project code: Pe0000020 – CUP: H53C22000860006 –
Fondazione Changes, presso Sapienza Università di Roma:
Presidente prof. Marco Mancini – Spoke 1.
Historical Landscapes, Traditions and Cultural Identities,
Spoke leader Università di Bari ‘Aldo Moro’,
coordinatore scientifico: prof. Giuliano Volpe
INDICE
Introduzione
Preface
Acknowledgements
Conventions used in this work
Chapter 1 Introduction
1.1 The reason for this work
1.2 The study of variability and standardization
1.3 The relationship with specialization
1.4 Historical and archaeological background, phenomena of standardisation, craft specialisation and social complexity in protohistoric and preroman Italy
1.5 Challenges and limits in the dataset and approach
1.6 Informatics and archaeology
1.7 Reflections on the approach used: digital archaeology, open data, and Big Data
1.8 Machine learning and related disciplines
Chapter 2 The dataset
2.1 Introduction
2.2 Methodology of dataset creation
2.3 Distribution maps, references, and other information
2.4 Assignment of records of uncertain chronology
2.5 AIPPD, Big Data applied in archaeology?
2.6 AIPPD: conclusions and perspectives
2.7 Timelines and time considerations for the dataset
Chapter 3 Methods
3.1 Python and AIPPA, an overview
3.2 potds: a framework for working with profiles
3.3 Features extraction: transforming images into numerical data
Chapter 4 Analysis techniques: methodologies and examples
4.1 Dimensionality reduction
4.2 Clustering algorithms
4.3 Proposal of a pipeline for the study and analysis of vessels’ profile
4.4 Traditional typology and proposed pipeline, what relationship?
4.5 Hardware used
Chapter 5 Applications
5.1 Comparison between Features extraction methods: a benchmark
5.2 Complexity in funeral urns and vascular production between EBA and AP
5.3 Standardisation analysis: a proposal of a method and its application: EBA – AP
5.4 Pottery assemblages maps
5.5 Similarity of contexts: a proposal for approaches
5.6 Reconstructing entire vessels from fragments: an ML approach
Chapter 6 General conclusions and future prospects
References