Academic Article

DHeLO and BiDiAr: new digital resources within the H2IOSC Project

Title: DHeLO and BiDiAr: new digital resources within the H2IOSC Project
Creator(s): Giacomo Mancuso; Antonio D'Eredità
Date: 2024
Volume: 35
Issue: 1
Pages: 521–542
Language: eng
Rights: CC BY-NC-ND 4.0
DOI: https://doi.org/10.19282/ac.35.1.2024.31
URI: http://www.archcalc.cnr.it/journal/id.php?id=1312
Zotero BiDiAr: https://www.zotero.org/groups/5293298/bidiar/items/9UMSCP8H/item-list
Abstract: This paper explores the initial outcomes of the H2IOSC Project, specifically within Work Package 2 (WP2 - Landscaping & Building Communities), which aims to survey the Italian digital landscape in Language Technologies, Humanities, and Heritage Science (HS). A significant outcome of the efforts of the Rome branch of CNR-ISPC is the development of two key resources: the DHeLO web app and the BiDiAr bibliographic collection. DHeLO (Digital Heritage Landscaping Platform) is designed to collect, store, and query metadata of research projects, products, and digital tools in Cultural Heritage (CH) and Heritage Science (HS). It aims to create a comprehensive disciplinary observatory by integrating data from multiple sources into a structured system that allows for complex queries and data indexing. This platform supports the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) and includes metadata standards based on the Dublin Core Metadata Initiative (DCMI). BiDiAr (Bibliography of Digital Archaeology) functions as a relational database within Zotero, an open-source bibliographic tool. It compiles bibliographic entries relevant to digital archaeology, integrating themes and research outputs from the 'Archeologia e Calcolatori' journal. This database aids in thematic trend analysis and network analysis by linking bibliographic citations, enhancing the understanding of research dynamics and impacts within the E-RIHS community. Analyzing these resources reveals an exponential increase in virtual reality and 3D modeling products, driven by epistemological developments and the disruptive use of photogrammetric modeling. These tools not only enhance data accessibility and usability but also support interdisciplinary collaboration and innovation in digital heritage and archaeology.
Cites: From surfaces to volume: towards a volumetric reconstruction of the archaeological deposit; Developing a digital archaeology classification system using Natural Language Processing and Machine Learning techniques; ArchaeoBIM ed Extended Matrix. Analisi e potenzialità di due processi per l’elaborazione di modelli informativi
cited by: Beyond monitoring. Reimagining DHeLO as a Linked Open Data infrastructure for Cultural Heritage research