Articles by Riccardo Valente
A resource hub for interoperability and data integration in Heritage research: the H-SeTIS database
Erica Scarpa, Riccardo Valente
Abstract
This article explores the contributions of the Milan branch of CNR-ISPC to the Humanities and Cultural Heritage Italian Open Science Cloud (H2IOSC) Project, focusing on facilitating data integration within Heritage Science. Its primary objective is to ensure seamless interoperability between resources from multiple institutions by establishing a shared semantic framework. The multidisciplinary nature of Heritage Science underscores the necessity for shared data repositories and effective management tools. Recent literature highlights the importance of semantic technologies in improving data integration and interoperability. To this end, the H-SeTIS database is currently under development. H-SeTIS will function as a hub for the systematic surveying and description of various semantic tools relevant to the Heritage domain. Interestingly, a preliminary analysis of data within H-SeTIS reveals that many semantic resources specifically designed to address the unique requirements of the Heritage domain do not meet the minimum quality requirements of accessibility and reusability. This finding underscores a potential area for future development: the creation of H-SeTIS aims to support the ongoing development of a comprehensive ontology for Cultural Heritage, enhancing data FAIRness and the discipline’s overall impact.
«Archeologia e Calcolatori» 2024, 35.1, 543-562; doi: 10.19282/ac.35.1.2024.32
Multispectral and high-resolution images as sources for archaeological surveys. New data from Iraqi Kurdistan
Riccardo Valente, Marco Iamoni, Eleonora Maset
Abstract
The paper presents the results of a two-year archaeological survey carried out in the Iraqi Kurdistan, namely within the Navkur Plain that has been extensively explored by the University of Udine since 2012. The surveys were planned in advance using Remote Sensing products available online and processed with Google Earth Engine, a large-scale cloud computing service specifically designed to process geospatial big data and especially satellite imagery. Images from Landsat 5, Landsat 7 and Sentinel-2 platforms were selected, processed and assessed. After two years, an overall number of 46 new and previously unknown sites have been localized and surveyed, contributing to the knowledge of the past history of this portion of the Kurdistan region and testing the use of Remote Sensing cloud-computing applications in the context of Near Eastern archaeological research.
«Archeologia e Calcolatori» 2023, 34.2, 207-223; doi: 10.19282/ac.34.2.2023.11
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