2025
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Data Center – CNR ISTI e ILC
Pagano P., Versienti L.
Relazione tecnica sui lavori di adeguamento del Centro di Calcolo ISTI per ospitare il Data Center ISTI e ILC.DOI: 10.32079/isti-tr-2025/008
Metrics:
Pagano P., Versienti L.
Relazione tecnica sui lavori di adeguamento del Centro di Calcolo ISTI per ospitare il Data Center ISTI e ILC.DOI: 10.32079/isti-tr-2025/008
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2025
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InfraScience research activity report 2024
Angioni S., Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics:
Angioni S., Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
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2024
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Procedura aperta sopra soglia comunitaria ai sensi dell’Art. 71 del D. LGS. N. 36/2023, per l’affidamento della fornitura n°1 NVIDIA DGX H100 prezzo nell’ambito del progetto ITSER del Piano Nazionale Ripresa e Resilienza (PNRR)
Versienti L.
Procedura aperta sopra soglia comunitaria ai sensi dell’Art. 71 del D. LGS. N. 36/2023, per l’affidamento della fornitura n°1 NVIDIA DGX H100 prezzo nell’ambito del progetto ITSER del Piano Nazionale Ripresa e Resilienza (PNRR)
Versienti L.
Procedura aperta sopra soglia comunitaria ai sensi dell’Art. 71 del D. LGS. N. 36/2023, per l’affidamento della fornitura n°1 NVIDIA DGX H100 prezzo nell’ambito del progetto ITSER del Piano Nazionale Ripresa e Resilienza (PNRR)
2024
Other
Open Access
AIMH Research Activities 2024
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Cassese M., Ciampi L., Coccomini D. A., Concordia C., Connor R., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Iannello L., Negi K., Lagani G., Lenzi E., Leocata M., Malvaldi M., Meghini C., Messina N., Moreo Fernandez A., Nardi A., Pacini G., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Scotti F., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L., Volpi L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is committed to advancing the field of Artificial Intelligence, with a special emphasis on its applications in digital media and the humanities. The lab aims to improve AI technologies, particularly in areas such as deep learning, text analysis, computer vision, multimedia information retrieval, content analysis, recognition, and retrieval. This report summarizes the laboratory’s achievements and activities over the course of 2024.DOI: 10.32079/isti-ar-2024/001
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Cassese M., Ciampi L., Coccomini D. A., Concordia C., Connor R., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Iannello L., Negi K., Lagani G., Lenzi E., Leocata M., Malvaldi M., Meghini C., Messina N., Moreo Fernandez A., Nardi A., Pacini G., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Scotti F., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L., Volpi L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is committed to advancing the field of Artificial Intelligence, with a special emphasis on its applications in digital media and the humanities. The lab aims to improve AI technologies, particularly in areas such as deep learning, text analysis, computer vision, multimedia information retrieval, content analysis, recognition, and retrieval. This report summarizes the laboratory’s achievements and activities over the course of 2024.DOI: 10.32079/isti-ar-2024/001
Metrics:
2023
Other
Open Access
AIMH Research Activities 2023
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is dedicated to exploring and pushing the boundaries in the field of Artificial Intelligence, with a particular focus on its application in digital media and humanities. This lab's objective is to enhance the current state of AI technology particularly on deep learning, text analysis, computer vision, multimedia information retrieval, multimedia content analysis, recognition, and retrieval. This report encapsulates the laboratory's progress and activities throughout the year 2023.DOI: https://doi.org/10.32079/isti-ar-2023/001
DOI: 10.32079/isti-ar-2023/001
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is dedicated to exploring and pushing the boundaries in the field of Artificial Intelligence, with a particular focus on its application in digital media and humanities. This lab's objective is to enhance the current state of AI technology particularly on deep learning, text analysis, computer vision, multimedia information retrieval, multimedia content analysis, recognition, and retrieval. This report encapsulates the laboratory's progress and activities throughout the year 2023.DOI: https://doi.org/10.32079/isti-ar-2023/001
DOI: 10.32079/isti-ar-2023/001
Metrics:
See at:
CNR IRIS 
| ISTI Repository | CNR IRIS 
2023
Other
Open Access
FOSSR D7.2E - Call for tenders for ISTI hardware devices
Assante M, Pagano P, Piccioli T, Versienti L
The purpose of this document is to outline the hardware purchasing decisions made for the Pisa data centre. By conducting thorough market research, we have identified the most suitable hardware resources and determined the optimal methods for procurement that align with our requirements. After careful analysis, we have decided to adopt a dual purchasing approach. A portion of the hardware will be acquired through a CONSIP agreement, while the remaining portion (GPUs Server) will be obtained through a competitive bidding process.
Assante M, Pagano P, Piccioli T, Versienti L
The purpose of this document is to outline the hardware purchasing decisions made for the Pisa data centre. By conducting thorough market research, we have identified the most suitable hardware resources and determined the optimal methods for procurement that align with our requirements. After careful analysis, we have decided to adopt a dual purchasing approach. A portion of the hardware will be acquired through a CONSIP agreement, while the remaining portion (GPUs Server) will be obtained through a competitive bidding process.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2016
Other
Open Access
Studio dei dati meteo per l'efficientamento energetico del CNR
Versienti L, Di Cristofalo S
The document presents possible solution designed for gathering weather data in real time
Versienti L, Di Cristofalo S
The document presents possible solution designed for gathering weather data in real time
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2016
Other
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Sviluppo di una ontologia per la rappresentazione della storia clinica in ambito medico
Versienti L
The aim of the present technical report is to describe the ontology developed to define the medical history of the patients involved in the RIS project
Versienti L
The aim of the present technical report is to describe the ontology developed to define the medical history of the patients involved in the RIS project
2016
Software
Metadata Only Access
OpenLinkData
Versienti L
The OpenLinkData software describing all the functionalities for collecting, storing and analysing the big data produced from the applications that are developed in the context of the Smart Area project. The API allowing these applications to interact with one another in an intelligent way, based on the sharing of the semantics of the exchanged data.
Versienti L
The OpenLinkData software describing all the functionalities for collecting, storing and analysing the big data produced from the applications that are developed in the context of the Smart Area project. The API allowing these applications to interact with one another in an intelligent way, based on the sharing of the semantics of the exchanged data.
See at:
github.com | CNR IRIS
2015
Other
Open Access
Sviluppo di servizi WEB per Smart Area
Versienti L
The document presents the web services developed for the Smart Area Project
Versienti L
The document presents the web services developed for the Smart Area Project
See at:
CNR IRIS | ISTI Repository | puma.isti.cnr.it | CNR IRIS
2015
Other
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Architettura software per una enciclopedia dantesca digitale
Versienti L
The document aims at explaining the APIs developed for the transformation of the annotations of Dante's text from XML to RDF format.
Versienti L
The document aims at explaining the APIs developed for the transformation of the annotations of Dante's text from XML to RDF format.
2015
Other
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Applicazione WEB: SMART. Open Data
Versienti L
In the document is presented the software architecture developed for Smart Area.
Versienti L
In the document is presented the software architecture developed for Smart Area.
2015
Other
Open Access
A knowledge schema for a preservation of audio/visual objects
Versienti L
The objective of this technical report is to present the schema for expressing the digital preservation. The schema is required in order to structure the needs in forms of formal knowledge statement that can be automatically processed in order to support the match of the needs with the research outputProject(s): PRESTO4U
Versienti L
The objective of this technical report is to present the schema for expressing the digital preservation. The schema is required in order to structure the needs in forms of formal knowledge statement that can be automatically processed in order to support the match of the needs with the research outputProject(s): PRESTO4U
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2015
Other
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RIS - Rapporto risultati sperimentazione
Pennè W, Gallo N, Nardini F M, Pennacchioli D, Versienti L
The document describes the scenarios tested for each component of the system: data mining, semantic indexing, text enrichment.
Pennè W, Gallo N, Nardini F M, Pennacchioli D, Versienti L
The document describes the scenarios tested for each component of the system: data mining, semantic indexing, text enrichment.
2015
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2015
Software
Metadata Only Access
RIS. Release 3.0
Versienti L, Soru T
Ris is a tool that provides information on the medical history of patients, enriched with information suggested by algortmi mining, linguistic and semantic analysis.
Versienti L, Soru T
Ris is a tool that provides information on the medical history of patients, enriched with information suggested by algortmi mining, linguistic and semantic analysis.
See at:
128.65.123.9 | CNR IRIS
2014
Conference article
Open Access
Towards a semantic network of Dante's works and their contextual knowledge
Tavoni M, Andriani P, Bartalesi V, Locuratolo E, Meghini C, Versienti L
We present the "Towards a Digital Dante Encyclopedia" project, a three years Italian National Research Project, that aims at building a prototypical digital library endowed with services supporting scholars in creating, evolving and consulting a digital encyclopedia of Dante Alighieri and of his works.
Tavoni M, Andriani P, Bartalesi V, Locuratolo E, Meghini C, Versienti L
We present the "Towards a Digital Dante Encyclopedia" project, a three years Italian National Research Project, that aims at building a prototypical digital library endowed with services supporting scholars in creating, evolving and consulting a digital encyclopedia of Dante Alighieri and of his works.
See at:
dharchive.org | CNR IRIS | CNR IRIS
2014
Other
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RIS - Architettura del sistema RIS (Architettura Finale)
Gallo N, Meghini C, Nardini F M, Pennacchioli D, Sartiano D, Versienti L
This document presents the RIS final architecture and the Use cases developed in realtion to this architecture.
Gallo N, Meghini C, Nardini F M, Pennacchioli D, Sartiano D, Versienti L
This document presents the RIS final architecture and the Use cases developed in realtion to this architecture.
2014
Software
Metadata Only Access
Perunabibliotecadigitale
Versienti L
Perunabibliotecadigitale includes all the functionalities for encoding the annotations of Dante's text from XML to RDF format. It implements automated procedures to parse a XML file, trasform it in a RDF file, verify that the result obtained is "well formed", and finally store it in an endpoint Virtuoso database.
Versienti L
Perunabibliotecadigitale includes all the functionalities for encoding the annotations of Dante's text from XML to RDF format. It implements automated procedures to parse a XML file, trasform it in a RDF file, verify that the result obtained is "well formed", and finally store it in an endpoint Virtuoso database.
See at:
github.com | CNR IRIS
2014
Other
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