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2022
Journal article
Open Access
Representation of socio-historical context to support the authoring and presentation of multimodal narratives: the Mingei online platform
Partarakis N., Doulgeraki P., Karuzaki E., Adami I., Ntoa S., Metilli D., Bartalesi Lenzi V., Meghini C., Marketakis Y., Kaplanidi D., Theodoridou M., Zabulis X.
In this article, the Mingei Online Platform is presented as an authoring platform for the representation of social and historic context encompassing a focal topic of interest. The proposed representation is employed in the contextualised presentation of a given topic, through documented narratives that support its presentation to diverse audiences. Using the obtained representation, the documentation and digital preservation of social and historical dimensions of Cultural Heritage are demonstrated. The implementation follows the Human-Centred Design approach and has been conducted under an iterative design and evaluation approach involving both usability and domain experts.Source: JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 15 (issue 1), pp. 1-26
DOI: 10.1145/3465556
Project(s): Mingei
Metrics:
Partarakis N., Doulgeraki P., Karuzaki E., Adami I., Ntoa S., Metilli D., Bartalesi Lenzi V., Meghini C., Marketakis Y., Kaplanidi D., Theodoridou M., Zabulis X.
In this article, the Mingei Online Platform is presented as an authoring platform for the representation of social and historic context encompassing a focal topic of interest. The proposed representation is employed in the contextualised presentation of a given topic, through documented narratives that support its presentation to diverse audiences. Using the obtained representation, the documentation and digital preservation of social and historical dimensions of Cultural Heritage are demonstrated. The implementation follows the Human-Centred Design approach and has been conducted under an iterative design and evaluation approach involving both usability and domain experts.Source: JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 15 (issue 1), pp. 1-26
DOI: 10.1145/3465556
Project(s): Mingei
Metrics:
See at:
dl.acm.org 
| CNR IRIS | ISTI Repository | CNR IRIS 
| CNR IRIS
2022
Journal article
Open Access
A representation protocol for traditional crafts
Zabulis X., Partarakis N., Meghini C., Dubois A., Manitsaris S., Hauser H., Thalmann N. M., Ringas C., Panesse L., Cadi N., Baka E., Beisswenger C., Makrygiannis D., Glushkova A., Padilla B. E. O., Kaplanidi D., Tasiopoulou E., Cuenca C., Carre A. -L., Nitti V., Adami I., Zidianakis E., Doulgeraki P., Karouzaki E., Bartalesi Lenzi V., Metilli D.
A protocol for the representation of traditional crafts and the tools to implement this are proposed. The proposed protocol is a method for the systematic collection and organization of digital assets and knowledge, their representation into a formal model, and their utilization for research, education, and preservation. A set of digital tools accompanies this protocol that enables the online curation of craft representations. The proposed approach was elaborated and evaluated with craft practitioners in three case studies. Lessons learned are shared and an outlook for future work is provided.Source: HERITAGE, vol. 5, pp. 716-741
DOI: 10.3390/heritage5020040
Project(s): Mingei
Metrics:
Zabulis X., Partarakis N., Meghini C., Dubois A., Manitsaris S., Hauser H., Thalmann N. M., Ringas C., Panesse L., Cadi N., Baka E., Beisswenger C., Makrygiannis D., Glushkova A., Padilla B. E. O., Kaplanidi D., Tasiopoulou E., Cuenca C., Carre A. -L., Nitti V., Adami I., Zidianakis E., Doulgeraki P., Karouzaki E., Bartalesi Lenzi V., Metilli D.
A protocol for the representation of traditional crafts and the tools to implement this are proposed. The proposed protocol is a method for the systematic collection and organization of digital assets and knowledge, their representation into a formal model, and their utilization for research, education, and preservation. A set of digital tools accompanies this protocol that enables the online curation of craft representations. The proposed approach was elaborated and evaluated with craft practitioners in three case studies. Lessons learned are shared and an outlook for future work is provided.Source: HERITAGE, vol. 5, pp. 716-741
DOI: 10.3390/heritage5020040
Project(s): Mingei
Metrics:
See at:
Heritage | CNR IRIS | ISTI Repository | www.mdpi.com | CNR IRIS
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:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Journal article
Open Access
Digitisation of traditional craft processes
Zabulis X., Meghini C., Dubois A., Doulgeraki P., Partarakis N., Adami I., Karuzaki E., Carre A. L., Patsiouras N., Kaplanidi D., Metilli D., Bartalesi Lenzi V., Ringas C., Tasiopoulou E., Stefanidi Z.
An approach to the representation and documentation of craft processes is proposed. The proposed approach is a method for the systematic identification and digital representation of pertinent data, information, and knowledge. The outcome representation is compatible with contemporary digitisation practices and digital preservation standards. The implementation of the approach is provided within the context of an online platform that is accompanied by auxiliary tools for digital curation. This platform is a multiple user system, where craft representations can be collaboratively authored, shared, displayed, and digitally preserved in standardised formats. Basic uses of this scheme and presentational applications are provided, along with identification of future work and limitations.Source: ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 15 (issue 3)
DOI: 10.1145/3494675
Project(s): Mingei
Metrics:
Zabulis X., Meghini C., Dubois A., Doulgeraki P., Partarakis N., Adami I., Karuzaki E., Carre A. L., Patsiouras N., Kaplanidi D., Metilli D., Bartalesi Lenzi V., Ringas C., Tasiopoulou E., Stefanidi Z.
An approach to the representation and documentation of craft processes is proposed. The proposed approach is a method for the systematic identification and digital representation of pertinent data, information, and knowledge. The outcome representation is compatible with contemporary digitisation practices and digital preservation standards. The implementation of the approach is provided within the context of an online platform that is accompanied by auxiliary tools for digital curation. This platform is a multiple user system, where craft representations can be collaboratively authored, shared, displayed, and digitally preserved in standardised formats. Basic uses of this scheme and presentational applications are provided, along with identification of future work and limitations.Source: ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 15 (issue 3)
DOI: 10.1145/3494675
Project(s): Mingei
Metrics:
See at:
dl.acm.org | Journal on Computing and Cultural Heritage | CNR IRIS | ISTI Repository | ZENODO | Journal on Computing and Cultural Heritage | CNR IRIS | CNR IRIS
2021
Journal article
Open Access
Representing narratives in digital libraries: the narrative ontology
Meghini C., Bartalesi Lenzi V., Metilli D.
Digital Libraries (DLs), especially in the Cultural Heritage domain, are rich in narratives. Every digital object in a DL tells some kind of story, regardless of the medium, the genre, or the type of the object. However, DLs do not offer services about narratives, for example it is not possible to discover a narrative, to create one, or to compare two narratives. Certainly, DLs offer discovery functionalities over their contents, but these services merely address the objects that carry the narratives (e.g. books, images, audiovisual objects), without regard for the narratives themselves. The present work aims at introducing narratives as first-class citizens in DLs, by providing a formal expression of what a narrative is. In particular, this paper presents a conceptualisation of the domain of narratives, and its specification through the Narrative Ontology (NOnt for short), expressed in first-order logic. NOnt has been implemented as an extension of three standard vocabularies, i.e. the CIDOC CRM, FRBRoo, and OWL Time, and using the SWRL rule language to express the axioms. On the basis of NOnt, we have developed the Narrative Building and Visualising (NBVT) tool, and applied it in four case studies to validate the ontology. NOnt is also being validated in the context of the Mingei European project, in which it is applied to the representation of knowledge about Craft Heritage.Source: SEMANTIC WEB (PRINT), vol. 12 (issue 2), pp. 241-264
DOI: 10.3233/sw-200421
DOI: 10.5281/zenodo.5727502
DOI: 10.5281/zenodo.5727503
Project(s): Mingei
Metrics:
Meghini C., Bartalesi Lenzi V., Metilli D.
Digital Libraries (DLs), especially in the Cultural Heritage domain, are rich in narratives. Every digital object in a DL tells some kind of story, regardless of the medium, the genre, or the type of the object. However, DLs do not offer services about narratives, for example it is not possible to discover a narrative, to create one, or to compare two narratives. Certainly, DLs offer discovery functionalities over their contents, but these services merely address the objects that carry the narratives (e.g. books, images, audiovisual objects), without regard for the narratives themselves. The present work aims at introducing narratives as first-class citizens in DLs, by providing a formal expression of what a narrative is. In particular, this paper presents a conceptualisation of the domain of narratives, and its specification through the Narrative Ontology (NOnt for short), expressed in first-order logic. NOnt has been implemented as an extension of three standard vocabularies, i.e. the CIDOC CRM, FRBRoo, and OWL Time, and using the SWRL rule language to express the axioms. On the basis of NOnt, we have developed the Narrative Building and Visualising (NBVT) tool, and applied it in four case studies to validate the ontology. NOnt is also being validated in the context of the Mingei European project, in which it is applied to the representation of knowledge about Craft Heritage.Source: SEMANTIC WEB (PRINT), vol. 12 (issue 2), pp. 241-264
DOI: 10.3233/sw-200421
DOI: 10.5281/zenodo.5727502
DOI: 10.5281/zenodo.5727503
Project(s): Mingei
Metrics:
See at:
content.iospress.com | ZENODO | ZENODO | CNR IRIS | Semantic Web | Semantic Web | CNR IRIS | CNR IRIS | CNR IRIS
2021
Journal article
Open Access
Representation and Presentation of Culinary Tradition as Cultural Heritage
Partarakis N., Kaplanidi D., Doulgeraki P., Karuzaki E., Petraki A., Metilli D., Bartalesi Lenzi V., Adami I., Meghini C., Zabulis X.
This paper presents a knowledge representation framework and provides tools to allow the representation and presentation of the tangible and intangible dimensions of culinary tradition as cultural heritage including the socio-historic context of its evolution. The representation framework adheres to and extends the knowledge representation standards for the Cultural Heritage (CH) domain while providing a widely accessible web-based authoring environment to facilitate the representation activities. In strong collaboration with social sciences and humanities, this work allows the exploitation of ethnographic research outcomes by providing a systematic approach for the representation of culinary tradition in the form of recipes, both in an abstract form for their preservation and in a semantic representation of their execution captured on-site during ethnographic research.Source: HERITAGE, vol. 4 (issue 2), pp. 612-640
DOI: 10.3390/heritage4020036
Project(s): Mingei
Metrics:
Partarakis N., Kaplanidi D., Doulgeraki P., Karuzaki E., Petraki A., Metilli D., Bartalesi Lenzi V., Adami I., Meghini C., Zabulis X.
This paper presents a knowledge representation framework and provides tools to allow the representation and presentation of the tangible and intangible dimensions of culinary tradition as cultural heritage including the socio-historic context of its evolution. The representation framework adheres to and extends the knowledge representation standards for the Cultural Heritage (CH) domain while providing a widely accessible web-based authoring environment to facilitate the representation activities. In strong collaboration with social sciences and humanities, this work allows the exploitation of ethnographic research outcomes by providing a systematic approach for the representation of culinary tradition in the form of recipes, both in an abstract form for their preservation and in a semantic representation of their execution captured on-site during ethnographic research.Source: HERITAGE, vol. 4 (issue 2), pp. 612-640
DOI: 10.3390/heritage4020036
Project(s): Mingei
Metrics:
See at:
CNR IRIS | ISTI Repository | Heritage | Heritage | CNR IRIS
2021
Software
Metadata Only Access
HDN Annotation Tool
Bartalesi Lenzi V, Pratelli N, Metilli D, Meghini C
To facilitate the process of populating the ontology developed within the Hypermedia Dante Network (HDN) project (PRIN 2020-2023), we implemented a semi-automatic tool called HDN Annotation Tool. The tool supports scholars to build a knowledge base of the primary sources of Dante Alighieri's Divine Comedy. The tool was developed using a Python backend with the Django framework, and a frontend built with HTML5, JavaScript, and the Bootstrap library. It takes as input the JSON file, where the knowledge automatically extracted from the corpus of the Dartmouth Dante Project (DDP) is stored and shows the relevant information in the corresponding fields of the tool interface. After analyzing the commentaries of the DDP, scholars use the interface of the tool to insert knowledge about primary sources. The tool is accessible through the HDN-Lab, which is the Virtual Research Environment (VRE) of the project, hosted on the D4Science infrastructure.
Bartalesi Lenzi V, Pratelli N, Metilli D, Meghini C
To facilitate the process of populating the ontology developed within the Hypermedia Dante Network (HDN) project (PRIN 2020-2023), we implemented a semi-automatic tool called HDN Annotation Tool. The tool supports scholars to build a knowledge base of the primary sources of Dante Alighieri's Divine Comedy. The tool was developed using a Python backend with the Django framework, and a frontend built with HTML5, JavaScript, and the Bootstrap library. It takes as input the JSON file, where the knowledge automatically extracted from the corpus of the Dartmouth Dante Project (DDP) is stored and shows the relevant information in the corresponding fields of the tool interface. After analyzing the commentaries of the DDP, scholars use the interface of the tool to insert knowledge about primary sources. The tool is accessible through the HDN-Lab, which is the Virtual Research Environment (VRE) of the project, hosted on the D4Science infrastructure.
See at:
dante.d4science.org | CNR IRIS
2021
Conference article
Open Access
The Hypermedia Dante Network Project
Tomazzoli G., Livraghi L. M. G., Metilli D., Pratelli N., Bartalesi Lenzi V.
In this paper, we present the Hypermedia Dante Network (HDN) project. First, we briefly introduce the relevant state of the art on Dante's commentaries and their digital representation, and we outline the project goals. In the main section, we present the core features of the HDN ontology, an evolution of the DanteSources ontology that aims at representing knowledge about Dante's primary sources as they are identified by a vast range of commentaries. Then, we describe the tool that has been developed to process Dante's commentaries and populate the HDN ontology. Finally, we comment on the project's usability and possible outcomes for both scholars and common users.
Tomazzoli G., Livraghi L. M. G., Metilli D., Pratelli N., Bartalesi Lenzi V.
In this paper, we present the Hypermedia Dante Network (HDN) project. First, we briefly introduce the relevant state of the art on Dante's commentaries and their digital representation, and we outline the project goals. In the main section, we present the core features of the HDN ontology, an evolution of the DanteSources ontology that aims at representing knowledge about Dante's primary sources as they are identified by a vast range of commentaries. Then, we describe the tool that has been developed to process Dante's commentaries and populate the HDN ontology. Finally, we comment on the project's usability and possible outcomes for both scholars and common users.
See at:
aiucd2021.labcd.unipi.it | CNR IRIS | ISTI Repository | CNR IRIS
2021
Journal article
Open Access
Towards a knowledge base of medieval and renaissance geographical Latin works: the IMAGO ontology
Bartalesi Lenzi V., Metilli D., Pratelli N., Pontari P.
In this article we present the first achievement of the Index Medii Aevi Geographiae Operum (IMAGO)--Italian National Research Project (2020-23), that is, the ontology we have created in order to formally represent the knowledge about the geographical works written in Middle Ages and Renaissance (6th-15th centuries). The IMAGO ontology is derived from a strict collaboration between the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR) and the scholars who are involved in the project, who have supported ISTI-CNR in defining a conceptualization of the domain of knowledge. Following the re-use logic, we have selected as reference ontologies the International Committee on Documentation CRM vocabulary and its extension FRBRoo, including its in-progress reformulation, LRMoo. This research is included in a wider project context whose final aim is the creation of a knowledge base (KB) of Latin geographic literature of the Middle Ages and Renaissance Humanism in which the data are formally represented following the Linked Open Data paradigm and using the Semantic Web languages. At the end of the project, this KB will be accessed through a Web application that allows retrieving and consulting the collected data in a user-friendly way for scholars and general users, e.g. tables, maps, CSV files.Source: DIGITAL SCHOLARSHIP IN THE HUMANITIES
DOI: 10.1093/llc/fqab060
Metrics:
Bartalesi Lenzi V., Metilli D., Pratelli N., Pontari P.
In this article we present the first achievement of the Index Medii Aevi Geographiae Operum (IMAGO)--Italian National Research Project (2020-23), that is, the ontology we have created in order to formally represent the knowledge about the geographical works written in Middle Ages and Renaissance (6th-15th centuries). The IMAGO ontology is derived from a strict collaboration between the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR) and the scholars who are involved in the project, who have supported ISTI-CNR in defining a conceptualization of the domain of knowledge. Following the re-use logic, we have selected as reference ontologies the International Committee on Documentation CRM vocabulary and its extension FRBRoo, including its in-progress reformulation, LRMoo. This research is included in a wider project context whose final aim is the creation of a knowledge base (KB) of Latin geographic literature of the Middle Ages and Renaissance Humanism in which the data are formally represented following the Linked Open Data paradigm and using the Semantic Web languages. At the end of the project, this KB will be accessed through a Web application that allows retrieving and consulting the collected data in a user-friendly way for scholars and general users, e.g. tables, maps, CSV files.Source: DIGITAL SCHOLARSHIP IN THE HUMANITIES
DOI: 10.1093/llc/fqab060
Metrics:
See at:
academic.oup.com | CNR IRIS | ISTI Repository | CNR IRIS | CNR IRIS
2021
Journal article
Open Access
A formal representation of the divine comedy's primary sources: The Hypermedia Dante Network ontology
Bartalesi Lenzi V., Pratelli N., Meghini C., Metilli D., Tomazzoli G., Livraghi L. M. G., Zaccarello M.
Hypermedia Dante Network (HDN) is a 3-year Italian National Research Project, started in 2020, which aims to enrich the functionalities of the DanteSources Digital Library to efficiently represent knowledge about the primary sources of Dante's Comedy. DanteSources allows users to retrieve and visualize the list and the distribution of Dante's primary sources that have been identified by recent commentaries of five of Dante's minor works (i.e. Vita nova, De vulgari eloquentia, Convivio, De Monarchia, and Rime). The digital library is based on a formal ontology expressed in Resource Description Framework Schema (RDFS) language. Based on the DanteSources experience, the HDN project aims to formally represent the primary sources of the Divine Comedy whose identification is based on several commentaries included in the Dartmouth Dante Project corpus. To reach this goal, we restructured and extended the DanteSources ontology to provide a wider and more complete representation of the knowledge concerning the primary sources of the Comedy. In this article, we present the result of this effort, i.e. the HDN ontology. The ontology is expressed in OWL and has as reference ontologies the CIDOC CRM and its extension FRBRoo, including its in-progress reformulation LRMoo. We also briefly describe the semi-automatic tool that will be used by the scholars to populate the ontology.Source: DIGITAL SCHOLARSHIP IN THE HUMANITIES, vol. 37 (issue 3), pp. 630-643
DOI: 10.1093/llc/fqab080
Metrics:
Bartalesi Lenzi V., Pratelli N., Meghini C., Metilli D., Tomazzoli G., Livraghi L. M. G., Zaccarello M.
Hypermedia Dante Network (HDN) is a 3-year Italian National Research Project, started in 2020, which aims to enrich the functionalities of the DanteSources Digital Library to efficiently represent knowledge about the primary sources of Dante's Comedy. DanteSources allows users to retrieve and visualize the list and the distribution of Dante's primary sources that have been identified by recent commentaries of five of Dante's minor works (i.e. Vita nova, De vulgari eloquentia, Convivio, De Monarchia, and Rime). The digital library is based on a formal ontology expressed in Resource Description Framework Schema (RDFS) language. Based on the DanteSources experience, the HDN project aims to formally represent the primary sources of the Divine Comedy whose identification is based on several commentaries included in the Dartmouth Dante Project corpus. To reach this goal, we restructured and extended the DanteSources ontology to provide a wider and more complete representation of the knowledge concerning the primary sources of the Comedy. In this article, we present the result of this effort, i.e. the HDN ontology. The ontology is expressed in OWL and has as reference ontologies the CIDOC CRM and its extension FRBRoo, including its in-progress reformulation LRMoo. We also briefly describe the semi-automatic tool that will be used by the scholars to populate the ontology.Source: DIGITAL SCHOLARSHIP IN THE HUMANITIES, vol. 37 (issue 3), pp. 630-643
DOI: 10.1093/llc/fqab080
Metrics:
See at:
academic.oup.com | CNR IRIS | ISTI Repository | CNR IRIS | CNR IRIS
2021
Other
Open Access
Enhancing the computational representation of narrative and its extraction from text
Metilli D
Narratives are a fundamental part of human life. Every human being encounters countless stories during their life, and these stories contribute to form a common understanding of reality. This is reflected in the current digital landscape, and especially on the Web, where narratives are published and shared everyday. However, the current digital representation of narratives is limited by the fact that each narrative is generally expressed as natural language text or other media, in an unstructured way that is neither standardized nor machine-readable. These limitations hinder the manageability of narratives by automated systems. One way to solve this problem would be to create an ontology of narrative, i.e., a formal model of what a narrative is, then develop semi-automated methods to extract narratives from natural language text, and use the extracted data to populate the ontology. However, the feasibility of this approach remains an open question. This thesis attempts to investigate this research question, starting from the state of the art in the fields of Computational Narratology, Semantic Web, and Natural Language Processing. Based on this analysis, we have identified a set of requirements, and we have developed a methodology for our research work. Then, we have developed an informal conceptualization of narrative, and we have expressed it in a formal way using First-Order Logic. The result of this work is the Narrative Ontology (NOnt), a formal model of narrative that also includes a representation of its textual structure and textual semantics. To ensure interoperability, the ontology is based on the CIDOC CRM and FRBRoo standards, and it has been expressed using the OWL and SWRL languages of the Semantic Web. Based on the ontology, we have developed NarraNext, a semi-automatic tool that is able to extract the main elements of narrative from natural language text. The tool allows the user to create a complete narrative based on a text, using the extracted knowledge to populate the ontology. NarraNext is based on recent advancements in the Natural Language Processing field, including deep neural networks, and is integrated with the Wikidata knowledge base. The validation of our work is being carried out in three different scenarios: (i) a case study on biographies of historical figures found in Wikipedia; (ii) the Mingei project, which applies NOnt to the representation and preservation of Heritage Crafts; (iii) the Hypermedia Dante Network project, where NOnt has been integrated with a citation ontology to represent the content of Dante's Comedy. All three applications have served to validate the representational adequacy of NOnt and the satisfaction of the requirements we defined. The case study on biographies has also evaluated the effectiveness of the NarraNext tool.Project(s): Mingei
Metilli D
Narratives are a fundamental part of human life. Every human being encounters countless stories during their life, and these stories contribute to form a common understanding of reality. This is reflected in the current digital landscape, and especially on the Web, where narratives are published and shared everyday. However, the current digital representation of narratives is limited by the fact that each narrative is generally expressed as natural language text or other media, in an unstructured way that is neither standardized nor machine-readable. These limitations hinder the manageability of narratives by automated systems. One way to solve this problem would be to create an ontology of narrative, i.e., a formal model of what a narrative is, then develop semi-automated methods to extract narratives from natural language text, and use the extracted data to populate the ontology. However, the feasibility of this approach remains an open question. This thesis attempts to investigate this research question, starting from the state of the art in the fields of Computational Narratology, Semantic Web, and Natural Language Processing. Based on this analysis, we have identified a set of requirements, and we have developed a methodology for our research work. Then, we have developed an informal conceptualization of narrative, and we have expressed it in a formal way using First-Order Logic. The result of this work is the Narrative Ontology (NOnt), a formal model of narrative that also includes a representation of its textual structure and textual semantics. To ensure interoperability, the ontology is based on the CIDOC CRM and FRBRoo standards, and it has been expressed using the OWL and SWRL languages of the Semantic Web. Based on the ontology, we have developed NarraNext, a semi-automatic tool that is able to extract the main elements of narrative from natural language text. The tool allows the user to create a complete narrative based on a text, using the extracted knowledge to populate the ontology. NarraNext is based on recent advancements in the Natural Language Processing field, including deep neural networks, and is integrated with the Wikidata knowledge base. The validation of our work is being carried out in three different scenarios: (i) a case study on biographies of historical figures found in Wikipedia; (ii) the Mingei project, which applies NOnt to the representation and preservation of Heritage Crafts; (iii) the Hypermedia Dante Network project, where NOnt has been integrated with a citation ontology to represent the content of Dante's Comedy. All three applications have served to validate the representational adequacy of NOnt and the satisfaction of the requirements we defined. The case study on biographies has also evaluated the effectiveness of the NarraNext tool.Project(s): Mingei
See at:
etd.adm.unipi.it | CNR IRIS | ISTI Repository | CNR IRIS
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
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2020
Journal article
Open Access
Representation and preservation of heritage crafts
Zabulis X., Meghini C., Partarakis N., Beisswenger C., Dubois A., Fasoula M., Nitti V., Ntoa S., Adami I., Chatziantoniou A., Bartalesi Lenzi V., Metilli D., Stivaktakis N., Patsiouras N., Doulgeraki P., Karuzaki E., Stefanidi E., Qammaz A., Kaplanidi D., Neumann-Janssen I., Denter U., Hauser H., Petraki A., Stivaktakis I., Mantinaki E., Rigaki A., Galanakis G.
This work regards the digital representation of tangible and intangible dimensions of heritage crafts, towards craft preservation. Based on state-of-the-art digital documentation, knowledge representation and narrative creation approach are presented. Craft presentation methods that use the represented content to provide accurate, intuitive, engaging, and educational ways for HC presentation and appreciation are proposed. The proposed methods aim to contribute to HC preservation, by adding value to the cultural visit, before, and after it.Source: SUSTAINABILITY (BASEL), vol. 12 (issue 4), pp. 1-26
DOI: 10.3390/su12041461
Project(s): Mingei
Metrics:
Zabulis X., Meghini C., Partarakis N., Beisswenger C., Dubois A., Fasoula M., Nitti V., Ntoa S., Adami I., Chatziantoniou A., Bartalesi Lenzi V., Metilli D., Stivaktakis N., Patsiouras N., Doulgeraki P., Karuzaki E., Stefanidi E., Qammaz A., Kaplanidi D., Neumann-Janssen I., Denter U., Hauser H., Petraki A., Stivaktakis I., Mantinaki E., Rigaki A., Galanakis G.
This work regards the digital representation of tangible and intangible dimensions of heritage crafts, towards craft preservation. Based on state-of-the-art digital documentation, knowledge representation and narrative creation approach are presented. Craft presentation methods that use the represented content to provide accurate, intuitive, engaging, and educational ways for HC presentation and appreciation are proposed. The proposed methods aim to contribute to HC preservation, by adding value to the cultural visit, before, and after it.Source: SUSTAINABILITY (BASEL), vol. 12 (issue 4), pp. 1-26
DOI: 10.3390/su12041461
Project(s): Mingei
Metrics:
See at:
Sustainability | CNR IRIS | ISTI Repository | Sustainability | Sustainability | ZENODO | CNR IRIS
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
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2019
Journal article
Open Access
Introducing narratives in Europeana: a case study
Meghini C, Bartalesi V, Metilli D, Benedetti F
We present a preliminary study to introduce narratives as a first-class functionality in digital libraries. The general idea is to enrich those libraries with semantic networks of events providing a meaningful contextualisation of the digital libraries' objects. More specific motivations are presented through a set of use cases by different actors who would benefit from using narratives for different purposes. Then, we consider a specific digital library, Europeana, the largest European digital library in the cultural heritage domain. We discuss how the Europeana Data Model could be extended for representing narratives, and we introduce an ontology for narratives. We also present a semi-automatic tool, which, on the basis of the ontology, supports the creation and visualisation of narratives, and we show how the tool has been employed to create a narrative of the life of the painter Gustav Klimt as a case study. In particular, we focus our attention on the functionality of the tool that allows extracting and proposing to the user specific digital objects for each event of the narrative.Source: INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, vol. 29 (issue 1), pp. 7-16
DOI: 10.2478/amcs-2019-0001
Metrics:
Meghini C, Bartalesi V, Metilli D, Benedetti F
We present a preliminary study to introduce narratives as a first-class functionality in digital libraries. The general idea is to enrich those libraries with semantic networks of events providing a meaningful contextualisation of the digital libraries' objects. More specific motivations are presented through a set of use cases by different actors who would benefit from using narratives for different purposes. Then, we consider a specific digital library, Europeana, the largest European digital library in the cultural heritage domain. We discuss how the Europeana Data Model could be extended for representing narratives, and we introduce an ontology for narratives. We also present a semi-automatic tool, which, on the basis of the ontology, supports the creation and visualisation of narratives, and we show how the tool has been employed to create a narrative of the life of the painter Gustav Klimt as a case study. In particular, we focus our attention on the functionality of the tool that allows extracting and proposing to the user specific digital objects for each event of the narrative.Source: INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, vol. 29 (issue 1), pp. 7-16
DOI: 10.2478/amcs-2019-0001
Metrics:
See at:
International Journal of Applied Mathematics and Computer Science | International Journal of Applied Mathematics and Computer Science | International Journal of Applied Mathematics and Computer Science | CNR IRIS | ISTI Repository | www.amcs.uz.zgora.pl | CNR IRIS
2019
Conference article
Open Access
Populating narratives using Wikidata events: an initial experiment
Metilli D, Bartalesi V, Meghini C, Aloia N
The study presented in this paper is part of our research aimed at improving the search functionalities of current Digital Libraries using formal narratives. Narratives are intended as sequences of events. We present the results of an initial experiment to detect and extract implicit events from the Wikidata knowledge base in order to construct a narrative in a semi-automatic way. Wikidata contains many historical entities, but comparably few events. The reason is that most events in Wikidata are represented in an implicit way, e.g. by listing a date of birth instead of having an event of type "birth". For this reason, we decided to generate what we call the Wikidata Event Graph (WEG), i.e. the graph of implicit events found in Wikidata. We performed an initial experiment taking as case study the narrative of the life of Italian poet Dante Alighieri. Only one event of the life of Dante is explicitly represented in Wikidata as instance of the class Q1190554 Occurrence. Using the WEG, we were able to automatically detect 31 more events of Dante's life that were present in Wikidata in an implicit way.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 159-166. Pisa, Italy, 31 Juanry - 01 February 2019
DOI: 10.1007/978-3-030-11226-4_13
DOI: 10.5281/zenodo.2555042
DOI: 10.5281/zenodo.2555043
DOI: 10.5281/zenodo.1489713
DOI: 10.5281/zenodo.1489714
Metrics:
Metilli D, Bartalesi V, Meghini C, Aloia N
The study presented in this paper is part of our research aimed at improving the search functionalities of current Digital Libraries using formal narratives. Narratives are intended as sequences of events. We present the results of an initial experiment to detect and extract implicit events from the Wikidata knowledge base in order to construct a narrative in a semi-automatic way. Wikidata contains many historical entities, but comparably few events. The reason is that most events in Wikidata are represented in an implicit way, e.g. by listing a date of birth instead of having an event of type "birth". For this reason, we decided to generate what we call the Wikidata Event Graph (WEG), i.e. the graph of implicit events found in Wikidata. We performed an initial experiment taking as case study the narrative of the life of Italian poet Dante Alighieri. Only one event of the life of Dante is explicitly represented in Wikidata as instance of the class Q1190554 Occurrence. Using the WEG, we were able to automatically detect 31 more events of Dante's life that were present in Wikidata in an implicit way.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 159-166. Pisa, Italy, 31 Juanry - 01 February 2019
DOI: 10.1007/978-3-030-11226-4_13
DOI: 10.5281/zenodo.2555042
DOI: 10.5281/zenodo.2555043
DOI: 10.5281/zenodo.1489713
DOI: 10.5281/zenodo.1489714
Metrics:
See at:
ZENODO | ZENODO | ZENODO | ZENODO | CNR IRIS | link.springer.com | ISTI Repository | ISTI Repository | zenodo.org | doi.org | CNR IRIS | CNR IRIS | CNR IRIS
2019
Journal article
Open Access
A Wikidata-based tool for building and visualising narratives
Metilli D, Bartalesi V, Meghini C
In this paper we present a semi-automatic tool for constructing and visualising narratives, intended as networks of events related to each other by semantic relations. The tool obeys an ontology for narratives that we developed. It retrieves and assigns internationalised resource identifiers to the instances of the classes of the ontology using Wikidata as an external knowledge base and also facilitates the construction and contextualisation of events, and their linking to form the narratives. The knowledge collected by the tool is automatically saved as an Web ontology language graph. The tool also allows the visualisation of the knowledge included in the graph in simple formats like tables, network graphs and timelines. We have carried out an initial qualitative evaluation of the tool. As case study, an historian from the University of Pisa has used the tool to build the narrative of Dante Alighieri's life. The evaluation has regarded the effectiveness of the tool and the satisfaction of the users' requirements.Source: INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES (INTERNET), vol. 20 (issue 4), pp. 417-432
DOI: 10.1007/s00799-019-00266-3
Metrics:
Metilli D, Bartalesi V, Meghini C
In this paper we present a semi-automatic tool for constructing and visualising narratives, intended as networks of events related to each other by semantic relations. The tool obeys an ontology for narratives that we developed. It retrieves and assigns internationalised resource identifiers to the instances of the classes of the ontology using Wikidata as an external knowledge base and also facilitates the construction and contextualisation of events, and their linking to form the narratives. The knowledge collected by the tool is automatically saved as an Web ontology language graph. The tool also allows the visualisation of the knowledge included in the graph in simple formats like tables, network graphs and timelines. We have carried out an initial qualitative evaluation of the tool. As case study, an historian from the University of Pisa has used the tool to build the narrative of Dante Alighieri's life. The evaluation has regarded the effectiveness of the tool and the satisfaction of the users' requirements.Source: INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES (INTERNET), vol. 20 (issue 4), pp. 417-432
DOI: 10.1007/s00799-019-00266-3
Metrics:
See at:
International Journal on Digital Libraries | CNR IRIS | link.springer.com | ISTI Repository | CNR IRIS | CNR IRIS
2019
Conference article
Open Access
Steps towards a system to extract formal narratives from text
Metilli D, Bartalesi V, Meghini C
In this paper we present a first step towards a system to extract for- mal narratives from text. This work is part of a wider research on the introduction of narratives in Digital Libraries. We represent narratives as networks of events, each set in space and time, endowed with factual components, and linked to each other through semantic relations. In order to extract a narrative from text, the first step is to automatically detect and classify the events in the text. We present a software we developed that uses neural networks for event detection and classifica- tion. It was trained on a dataset of annotated biographies of writers and artists from the English Wikipedia and on the ACE 2005 training corpus. We tested the software on the biography of Florentine poet Dante Alighieri. This software constitutes the first component of a broader system for narrative extraction from natural language text.Source: CEUR WORKSHOP PROCEEDINGS, pp. 53-61. Cologne, Germany, 14 April 2019
Metilli D, Bartalesi V, Meghini C
In this paper we present a first step towards a system to extract for- mal narratives from text. This work is part of a wider research on the introduction of narratives in Digital Libraries. We represent narratives as networks of events, each set in space and time, endowed with factual components, and linked to each other through semantic relations. In order to extract a narrative from text, the first step is to automatically detect and classify the events in the text. We present a software we developed that uses neural networks for event detection and classifica- tion. It was trained on a dataset of annotated biographies of writers and artists from the English Wikipedia and on the ACE 2005 training corpus. We tested the software on the biography of Florentine poet Dante Alighieri. This software constitutes the first component of a broader system for narrative extraction from natural language text.Source: CEUR WORKSHOP PROCEEDINGS, pp. 53-61. Cologne, Germany, 14 April 2019
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2019
Conference article
Open Access
Sistemi basati su ontologie per le Digital Humanities
Meghini C, Bartalesi V, Benedetti F, Metilli D
Un sistema informativo per le Digital Humanities (DH per brevità) é visto come un agente che manipola conoscenza, essendo in grado di accogliere conoscenza dal mondo esterno (funzione di TELL) e di elaborarla in modo appropriato per rispondere a domande relative alla conoscenza posseduta (funzione di ASK). Il nostro gruppo ha fatto propria questa visione e sta lavo-rando da qualche anno ad applicarla nel settore delle DH. La seconda Sezione del paper descrive due progetti in cui tale visione si è esplicata. Nella prima sezione, si argomenta perché la visione risulti paricolarmente fruttuosa per le DH, al di là dei vantaggi che essa porta da un punto di vista ingegneristico.
Meghini C, Bartalesi V, Benedetti F, Metilli D
Un sistema informativo per le Digital Humanities (DH per brevità) é visto come un agente che manipola conoscenza, essendo in grado di accogliere conoscenza dal mondo esterno (funzione di TELL) e di elaborarla in modo appropriato per rispondere a domande relative alla conoscenza posseduta (funzione di ASK). Il nostro gruppo ha fatto propria questa visione e sta lavo-rando da qualche anno ad applicarla nel settore delle DH. La seconda Sezione del paper descrive due progetti in cui tale visione si è esplicata. Nella prima sezione, si argomenta perché la visione risulti paricolarmente fruttuosa per le DH, al di là dei vantaggi che essa porta da un punto di vista ingegneristico.
See at:
CNR IRIS | ISTI Repository | www.ital-ia.it | CNR IRIS
2019
Conference article
Open Access
Constructing narratives using NBVT: a case study
Bartalesi V, Metilli D, Meghini C
Narratives are a fundamental part of human life, starting from the epic poems of the ancient past to modern films. Since the 1970s, much research has been carried out to study the computational representation of narratives. Up to now, there is no standard definition of narrative. In our research, we intend narratives as networks of events defined by a narrator, endowed with participating entities (e.g. persons, location, time) and semantic relations. In this paper, we introduce the Narrative Building and Visualising Tool (NBVT), a semi- automatic software based on a formal ontology for narratives we developed. The tool allows users to construct and visualise narratives using Wikidata as reference knowledge base and Europeana for enriching the narrative with digital objects. As case study, we present the narrative of the life of the Austrian painter Gustav Klimt created using NBVT. Since Wikidata is not event-based, our efforts focus on the automatic extraction from Wikidata of the implicit events that compose the narrative. Furthermore, we developed a dedicated functionality in NBVT that finds the Europeana digital objects related to a particular event. This functionality matches the metadata of Europeana digital objects with the event and the participating entities using a similarity algorithm.
Bartalesi V, Metilli D, Meghini C
Narratives are a fundamental part of human life, starting from the epic poems of the ancient past to modern films. Since the 1970s, much research has been carried out to study the computational representation of narratives. Up to now, there is no standard definition of narrative. In our research, we intend narratives as networks of events defined by a narrator, endowed with participating entities (e.g. persons, location, time) and semantic relations. In this paper, we introduce the Narrative Building and Visualising Tool (NBVT), a semi- automatic software based on a formal ontology for narratives we developed. The tool allows users to construct and visualise narratives using Wikidata as reference knowledge base and Europeana for enriching the narrative with digital objects. As case study, we present the narrative of the life of the Austrian painter Gustav Klimt created using NBVT. Since Wikidata is not event-based, our efforts focus on the automatic extraction from Wikidata of the implicit events that compose the narrative. Furthermore, we developed a dedicated functionality in NBVT that finds the Europeana digital objects related to a particular event. This functionality matches the metadata of Europeana digital objects with the event and the participating entities using a similarity algorithm.
See at:
aiucd2019.uniud.it | CNR IRIS | ISTI Repository | CNR IRIS