Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Massari, Arcangelo"'
Autor:
Barzaghi, Sebastian, Bordignon, Alice, Gualandi, Bianca, Heibi, Ivan, Massari, Arcangelo, Moretti, Arianna, Peroni, Silvio, Renda, Giulia
In this article we analyse 3D models of cultural heritage with the aim of answering three main questions: what processes can be put in place to create a FAIR-by-design digital twin of a temporary exhibition? What are the main challenges in applying F
Externí odkaz:
http://arxiv.org/abs/2407.02018
Autor:
Massari, Arcangelo, Peroni, Silvio
HERITRACE is a semantic data management system tailored for the GLAM sector. It is engineered to streamline data curation for non-technical users while also offering an efficient administrative interface for technical staff. The paper compares HERITR
Externí odkaz:
http://arxiv.org/abs/2402.00477
Autor:
Balzani, Roberto, Barzaghi, Sebastian, Bitelli, Gabriele, Bonifazi, Federica, Bordignon, Alice, Cipriani, Luca, Colitti, Simona, Collina, Federica, Daquino, Marilena, Fabbri, Francesca, Fanini, Bruno, Fantini, Filippo, Ferdani, Daniele, Fiorini, Giulia, Formia, Elena, Forte, Anna, Giacomini, Federica, Girelli, Valentina Alena, Gualandi, Bianca, Heibi, Ivan, Iannucci, Alessandro, Del Fà, Rachele Manganelli, Massari, Arcangelo, Moretti, Arianna, Peroni, Silvio, Pescarin, Sofia, Renda, Giulia, Ronchi, Diego, Sullini, Mattia, Tini, Maria Alessandra, Tomasi, Francesca, Travaglini, Laura, Vittuari, Luca
As per the objectives of Project CHANGES, particularly its thematic sub-project on the use of virtual technologies for museums and art collections, our goal was to obtain a digital twin of the temporary exhibition on Ulisse Aldrovandi called "The Oth
Externí odkaz:
http://arxiv.org/abs/2308.15920
The paper introduces a tool prototype that combines SHACL's capabilities with ad-hoc validation functions to create a controlled and user-friendly form interface for producing valid RDF data. The proposed tool is developed within the context of the O
Externí odkaz:
http://arxiv.org/abs/2307.01718
Publikováno v:
Quantitative Science Studies 2024. 5 (1) 50-75
OpenCitations Meta is a new database that contains bibliographic metadata of scholarly publications involved in citations indexed by the OpenCitations infrastructure. It adheres to Open Science principles and provides data under a CC0 license for max
Externí odkaz:
http://arxiv.org/abs/2306.16191
In the realm of Digital Humanities, the management of cultural heritage metadata is pivotal for ensuring data trustworthiness. Provenance information - contextual metadata detailing the origin and history of data - plays a crucial role in this proces
Externí odkaz:
http://arxiv.org/abs/2305.08477
Autor:
Massari, Arcangelo, Peroni, Silvio
This article introduces a methodology to perform live time-traversal SPARQL queries on RDF datasets and software based on this methodology that offers a solution to manage the provenance and change-tracking of entities described using RDF. These are
Externí odkaz:
http://arxiv.org/abs/2210.02534
Autor:
Massari, Arcangelo, Heibi, Ivan
Publikováno v:
Proc. of the Workshop on Understanding LIterature references in academic full TExt (ULITE 2022), Cologne, Germany, June 20-24, 2022. Vol-3220. CEUR-WS.org
The OpenCitations organization is working on ingesting citation data and bibliographic metadata directly provided by the community (e.g., scholars and publishers). The aim is to improve the general coverage of open citations, which is still far from
Externí odkaz:
http://arxiv.org/abs/2206.03971
Publikováno v:
Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham
This paper presents a methodology for designing a containerized and distributed open science infrastructure to simplify its reusability, replicability, and portability in different environments. The methodology is depicted in a step-by-step schema ba
Externí odkaz:
http://arxiv.org/abs/2206.03926
Autor:
Cioffi, Alessia, Coppini, Sara, Massari, Arcangelo, Moretti, Arianna, Peroni, Silvio, Santini, Cristian, Asadi, Nooshin Shahidzadeh
Publikováno v:
Scientometrics 127, 3593-3612 (2022)
This work aims to identify classes of DOI mistakes by analysing the open bibliographic metadata available in Crossref, highlighting which publishers were responsible for such mistakes and how many of these incorrect DOIs could be corrected through au
Externí odkaz:
http://arxiv.org/abs/2111.11263