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2021
Software
Metadata Only Access
SSHOC data stewardship terminology and metadata SKOSifying mapping
Trupiano L, Concordia C
A Jupyter Notebook implementing a simple parser used to transform the Multilingual Data Stewardship terminology and Metadata, created in the Task 3.1 of the SSHOC project, into SKOS resources. The parser transforms the content in SKOS data following a set of mapping rules, the result is stored in two Turtle files.Project(s): SSHOC
Trupiano L, Concordia C
A Jupyter Notebook implementing a simple parser used to transform the Multilingual Data Stewardship terminology and Metadata, created in the Task 3.1 of the SSHOC project, into SKOS resources. The parser transforms the content in SKOS data following a set of mapping rules, the result is stored in two Turtle files.Project(s): SSHOC
See at:
hdl.handle.net 
| CNR IRIS
2013
Journal article
Restricted
Il sogno di Tim
Aloia N, Concordia C, Meghini C, Trupiano L
The first part of this paper describes the motivation, the main features and the current implementation state of the Linked Open data Framework. In conclusions we try to outline some possible development lines in order to build the Semantic Web paradigm defined by Tim Berners Lee.Source: SAPERE, vol. marzo/aprile 2013 (issue 2), pp. 16-23
Aloia N, Concordia C, Meghini C, Trupiano L
The first part of this paper describes the motivation, the main features and the current implementation state of the Linked Open data Framework. In conclusions we try to outline some possible development lines in order to build the Semantic Web paradigm defined by Tim Berners Lee.Source: SAPERE, vol. marzo/aprile 2013 (issue 2), pp. 16-23
See at:
CNR IRIS | CNR IRIS | www.edizionidedalo.it
2018
Other
Open Access
VRE4EIC Deliverable 3.4 Enhanced VREs
Meghini C, Jeffery K, Concordia C, Trupiano L, Patkos T, Minadakis N, Marketakis Y, Kritsotakis V, Bailo D, Zhao Z
This deliverable provides the results of two tasks within WP3 of the VRE4EIC project: Task 3.4 "Integration of Reference VRE and Enhanced Existing VREs" and Task 3.5 "Design and development of a GUI for eVRE". In particular: The enhanced VREs are extended implementation of the EPOS and ENVRIplus VREs which have been obtained by migrating the architectures of these VREs into new architectures that includes building blocks developed by the VRE4EIC project, in the context of task 3.3. The resulting architectures provide the involved VREs with additional functionality that extends their capabilities in significant ways for the underlying research communities, while at the same time prove the functional and technical validity of the Reference Architecture developed (D3.1) and implemented by the project. The eVRE GUI provides eVRE with an access point for the human user, thus addressing the usability of VREs, which is one of the main goals of the project. In addition, the present deliverable provides the Canonical Reference Prototype (CRP) of the Reference Architecture, also produced by Task 3.4 of the project by integrating existing technologies to implement the components of the Reference Architecture. The realization of the CRP has required the development of a Technical Architecture, which complements the Reference Architecture by selecting a set of suitable implementation techniques and open- source components.Project(s): VRE4EIC
Meghini C, Jeffery K, Concordia C, Trupiano L, Patkos T, Minadakis N, Marketakis Y, Kritsotakis V, Bailo D, Zhao Z
This deliverable provides the results of two tasks within WP3 of the VRE4EIC project: Task 3.4 "Integration of Reference VRE and Enhanced Existing VREs" and Task 3.5 "Design and development of a GUI for eVRE". In particular: The enhanced VREs are extended implementation of the EPOS and ENVRIplus VREs which have been obtained by migrating the architectures of these VREs into new architectures that includes building blocks developed by the VRE4EIC project, in the context of task 3.3. The resulting architectures provide the involved VREs with additional functionality that extends their capabilities in significant ways for the underlying research communities, while at the same time prove the functional and technical validity of the Reference Architecture developed (D3.1) and implemented by the project. The eVRE GUI provides eVRE with an access point for the human user, thus addressing the usability of VREs, which is one of the main goals of the project. In addition, the present deliverable provides the Canonical Reference Prototype (CRP) of the Reference Architecture, also produced by Task 3.4 of the project by integrating existing technologies to implement the components of the Reference Architecture. The realization of the CRP has required the development of a Technical Architecture, which complements the Reference Architecture by selecting a set of suitable implementation techniques and open- source components.Project(s): VRE4EIC
See at:
CNR IRIS 
| ISTI Repository | CNR IRIS
2018
Other
Open Access
Deliverable 3.5 Final Architecture Design
Meghini C, Jeffery K, Concordia C, Trupiano L, Patkos T, Minadakis N, Marketakis Y, Kritsotakis V, Bailo D, Zhao Z
This is the final deliverable on architecture in VRE4EIC. The first (D3.1) explained the methodology, approach and overall architecture. This deliverable provides details of the architectural components, interfaces and related considerations leading to the technical architecture and the canonical reference prototype. Components of the architecture have been utilised in EPOS and ENVRIplus and validated there; the reference architecture has been demonstrated with the Canonical Reference Prototype.Project(s): VRE4EIC
Meghini C, Jeffery K, Concordia C, Trupiano L, Patkos T, Minadakis N, Marketakis Y, Kritsotakis V, Bailo D, Zhao Z
This is the final deliverable on architecture in VRE4EIC. The first (D3.1) explained the methodology, approach and overall architecture. This deliverable provides details of the architectural components, interfaces and related considerations leading to the technical architecture and the canonical reference prototype. Components of the architecture have been utilised in EPOS and ENVRIplus and validated there; the reference architecture has been demonstrated with the Canonical Reference Prototype.Project(s): VRE4EIC
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2014
Contribution to book
Restricted
EuropeanaLabs: An Infrastructure to Support the Development of Europeana
Aloia N, Concordia C, Meghini C, Trupiano L
This document describes the Europeana Development and communication infrastructure, called EuropeanaLabs, built inside the EU projects Europeana and Europeana v. 2. The EuropeanaLabs consists of a number of servers, storages and communication devices; it is used to create Virtual Machines, called sandboxes, used by Europeana foundation communities. EuropeanaLabs provides a test environment, for applications and demos, to several cultural heritage and technology projects, most of them funded by EU, in addition it features a set of servers for cooperative work. In this paper we present the general architecture of the EuropeanaLabs infrastructure.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 53-58
DOI: 10.1007/978-3-642-54347-0_6
Metrics:
Aloia N, Concordia C, Meghini C, Trupiano L
This document describes the Europeana Development and communication infrastructure, called EuropeanaLabs, built inside the EU projects Europeana and Europeana v. 2. The EuropeanaLabs consists of a number of servers, storages and communication devices; it is used to create Virtual Machines, called sandboxes, used by Europeana foundation communities. EuropeanaLabs provides a test environment, for applications and demos, to several cultural heritage and technology projects, most of them funded by EU, in addition it features a set of servers for cooperative work. In this paper we present the general architecture of the EuropeanaLabs infrastructure.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 53-58
DOI: 10.1007/978-3-642-54347-0_6
Metrics:
See at:
doi.org | CNR IRIS | CNR IRIS | link.springer.com
2024
Conference article
Open Access
Per l'interoperabilità e la sostenibilità delle risorse digitali dantesche: il progetto LiDa
Concordia C., Tomazzoli G., Aloia N., Meghini C., Trupiano L.
In questo contributo presentiamo LiDa (Linking Dante), un progetto che mira a promuovere una maggiore interoperabilità e sostenibilità dei dati sulle opere dantesche raccolti in progetti precedenti tramite l’utilizzo di tecnologie e linguaggi del Web Semantico. Dopo un’introduzione in cui definiamo gli scopi del progetto (§1), facciamo cenno ai limiti con cui si scontra l’annotazione in dei dati linguistici e alle potenzialità di una loro implementazione in RDF (§2); introduciamo poi gli elementi fondamentali della nuova ontologia che abbiamo elaborato a tal scopo (§3), e descriviamo la procedura con cui abbiamo realizzato un nuovo grafo di conoscenza che colleghi il testo della Commedia alle risorse linguistiche che lo descrivono (§4); infine, presentiamo le modalità di navigazione e interrogazione di tale grafo (§5) e riflettiamo sui risultati raggiunti e sugli sviluppi futuri (§6).DOI: 10.6092/unibo/amsacta/7927
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Concordia C., Tomazzoli G., Aloia N., Meghini C., Trupiano L.
In questo contributo presentiamo LiDa (Linking Dante), un progetto che mira a promuovere una maggiore interoperabilità e sostenibilità dei dati sulle opere dantesche raccolti in progetti precedenti tramite l’utilizzo di tecnologie e linguaggi del Web Semantico. Dopo un’introduzione in cui definiamo gli scopi del progetto (§1), facciamo cenno ai limiti con cui si scontra l’annotazione in dei dati linguistici e alle potenzialità di una loro implementazione in RDF (§2); introduciamo poi gli elementi fondamentali della nuova ontologia che abbiamo elaborato a tal scopo (§3), e descriviamo la procedura con cui abbiamo realizzato un nuovo grafo di conoscenza che colleghi il testo della Commedia alle risorse linguistiche che lo descrivono (§4); infine, presentiamo le modalità di navigazione e interrogazione di tale grafo (§5) e riflettiamo sui risultati raggiunti e sugli sviluppi futuri (§6).DOI: 10.6092/unibo/amsacta/7927
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amsacta.unibo.it | CNR IRIS | AMS Acta | CNR IRIS
1997
Other
Open Access
Progetto LabNet: Manuale di installazione e configurazione del software(vers.Wind.3X)
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
An abstract is not avaiable
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
An abstract is not avaiable
1997
Other
Open Access
Progetto LabNet: Manuale di installazione e configurazione del software (vers.Wind.)
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
Lo scopo di questo documento è guidare l'utente nell'installazione e nella configurazione del software necessario ad accedere ai servizi della rete LabNet
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
Lo scopo di questo documento è guidare l'utente nell'installazione e nella configurazione del software necessario ad accedere ai servizi della rete LabNet
1997
Other
Open Access
Progetto LabNet: Manuale di installazione e configurazione del software (vers.Mac)
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
An abstract is not avaiable
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
An abstract is not avaiable
1997
Other
Open Access
Concetti telematici generali per il collegamento alla rete LabNet
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
An abstract is not avaiable
Bianchi Bandinelli R, Canino D, Concordia C, Miori V, Trupiano L
An abstract is not avaiable
1994
Other
Open Access
Un aspetto delle tecnologie informatiche e della comunicazione a supporto delle attività formative e sociali
Miori V, Bandinelli R, Canino D, Concordia C, Trupiano L
In questa nota si descrivono i risultati e gli sforzi fatti dai ricercatori del CNUCE e dell'Associazione GUSTAVO per attivare una rete di calcolatori con tecnologiua a basso costo ma con grandi potenzialità, da proporre al progetto SEA-NET.
Miori V, Bandinelli R, Canino D, Concordia C, Trupiano L
In questa nota si descrivono i risultati e gli sforzi fatti dai ricercatori del CNUCE e dell'Associazione GUSTAVO per attivare una rete di calcolatori con tecnologiua a basso costo ma con grandi potenzialità, da proporre al progetto SEA-NET.
2020
Other
Open Access
AIMH research activities 2020
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Carrara F., Casarosa V., Ciampi L., Concordia C., Corbara S., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Thanos C., Trupiano L., Vadicamo L., Vairo C.
Annual Report of the Artificial Intelligence for Media and Humanities laboratory (AIMH) research activities in 2020.DOI: 10.32079/isti-ar-2020/001
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Carrara F., Casarosa V., Ciampi L., Concordia C., Corbara S., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Thanos C., Trupiano L., Vadicamo L., Vairo C.
Annual Report of the Artificial Intelligence for Media and Humanities laboratory (AIMH) research activities in 2020.DOI: 10.32079/isti-ar-2020/001
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2021
Other
Open Access
AIMH research activities 2021
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Coccomini D., Ciampi L., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2021 activities of the research group.DOI: 10.32079/isti-ar-2021/003
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Coccomini D., Ciampi L., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2021 activities of the research group.DOI: 10.32079/isti-ar-2021/003
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2022
Other
Open Access
AIMH research activities 2022
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A. D., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability.This report summarize the 2022 activities of the research group.DOI: 10.32079/isti-ar-2022/002
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A. D., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability.This report summarize the 2022 activities of the research group.DOI: 10.32079/isti-ar-2022/002
Metrics:
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CNR IRIS | ISTI Repository | CNR IRIS
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: 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: 10.32079/isti-ar-2023/001
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS