2022, Contributo in atti di convegno, ENG
Pratelli N.
Digital Libraries (DLs) are full of narratives. Besides its richness, DLs services often retrieve narrative components, but not the narratives as a whole. To formally represent this knowledge and to create and visualize narratives the Digital Humanities group of ISTI-CNR has developed the Narrative Ontology (NOnt) and the Narrative Building and Visualising Tool (NBVT). In this context, my research aims to investigate the possibility to introduce the geospatial dimension of narratives in NOnt. Moreover, my research aims to extend the functionalities of NBVT to enrich the narratives with geospatial information. As a case study, I have chosen to create narratives about mountain ecosystems and economic value chains produced within the Mountain Valorization through Interconnectedness and Green Growth (MOVING) European project (2020-2023). Currently, my research is still at an early stage and I have started to conduct a state-of-the-art study of the geospatial and spatiotemporal RDF/S representation techniques. Eventually, I will evaluate the extension of NOnt.
2020, Presentazione, ENG
Federico Boschetti Riccardo Del Gratta Monica Monachini
Latin digital archives and research infrastructures: just a trendy option or a substantive need?
2019, Abstract in atti di convegno, ENG
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.
2019, Contributo in atti di convegno, ITA
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.
2019, Contributo in atti di convegno, ENG
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.
2019, Articolo in rivista, ENG
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.
2019, Contributo in atti di convegno, ENG
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.
2019, Contributo in atti di convegno, ENG
S. Cresci, S. Minutoli, L. Nizzoli, S. Tardelli, M. Tesconi
SoBigData is a Research Infrastructure (RI) aiming to provide an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining. A key milestone of the project focuses on data, methods and results sharing, in order to ensure the reproducibility, review and re-use of scientific works. For this reason, the Digital Library paradigm is implemented within the RI, providing users with virtual environments where datasets, methods and results can be collected, maintained, managed and preserved, granting full documentation, access and the possibility to re-use. In this paper, we describe the results of our effort for integrating the Twitter Monitor, a tool for gathering messages from the Twitter Online Social Network, into the SoBigData RI. The Twitter Monitor provides a simple user interface, enabling researchers and stakeholders, without programming skills, to seamlessly (i) select relevant messages out of the huge Twitter stream by means of language, keyword, user tracking and geographical filters, (ii) store data on user personal Workspace, (iii) and publish them in the SoBigData Resource Catalogue, which implements all the aforementioned Digital Library features. Thanks to the seamless integration in the SoBigData RI, the Twitter Monitor allows researchers and stakeholders, belonging to different areas and having different backgrounds, to exploit the crowdsensing paradigm for enriching the SoBigData Digital Library. In this way, crowdsensing acquires the key features of openness, accessibility, interoperability and interdisciplinarity that characterize the Digital Libraries framework.
2018, Contributo in atti di convegno, ENG
Meghini C.; Bartalesi V.; Metilli D.; Benedetti F.
The current Digital Libraries (DLs) usually return as answer of a user's query a ranked list of the resources included in the DLs but no semantic relation among the resources are reported. Using the Semantic Web technologies it is possible to improve these search functionalities introducing narratives as new search method. As narratives we intend semantic networks of events that are linked to the objects of the DLs and are endowed with a set of semantic relations that connect an event to another. These semantic networks may help the users to obtain a more complete knowledge on the subject of their searches. In this paper, we present a software architecture for building narratives in order to introduce them in DLs. Our architecture is composed of several tools (automatic and semi-automatic tools) for creating, storing and visualizing narratives. When possible, we reused open source components already available on-line, and for the software we developed, we freely distribute it for research aims.
2018, Articolo in rivista, ENG
Bartalesi V.; Meghini C.; Metilli D.; Tavoni M.; Andriani P.
We present the methodological and technical process we adopted to develop DanteSources, a Web application that allows free access to the knowledge about Dante Alighieri's primary sources, i.e. the works of other authors that Dante cites in his texts. Up to now, this knowledge has been collected in many paper books, making it difficult for the scholars to retrieve it and to produce a complete overview of these data. Using Semantic Web technologies, we developed an ontology expressed in the Resource Description Framework Schema vocabulary providing the terms to represent this knowledge in a machine-readable form. A semi-automatic tool helps the scholars to populate the ontology with the data included in authoritative paper commentaries to Dante's works. Then, the tool automatically saves the resulting Resource Description Framework graph in a triple store. On top of this graph, we developed DanteSources, a Web application that allows users to extract and display the information stored in the knowledge base in the form of charts and tables. Finally, we report the results of a survey to collect suggestions from end-users on their interactions with DanteSources. The methodology and the tools we developed are easily reusable, e.g. to represent the knowledge about primary sources of other authors of the Italian and the international literature.
2016, Contributo in atti di convegno, ENG
Meghini C.; Bartalesi V.; Metilli D.
One of the main problems of the current Digital Libraries (DLs) is the limitation of the informative services offered to the users. Indeed, DLs provide simple search functionalities which return a list of the information objects contained in them. No semantic relation among the returned objects is usually reported which can help the user in obtaining a more complete knowledge on the subject of the search. The introduction of the Semantic Web has the potential of improving the search functionalities of DLs. Many cultural institutions have represented their metadata into formal descriptions encoded by means of formal languages such as RDF and OWL. In this context, the aim of our research is to introduce the narrative as a new search functionality which does not only return a list of objects but presents a narrative, composed of events that are linked to the objects of the library and endowed with a set of semantic relations connecting these events into a meaningful semantic network. The paper presents the first theoretical achievements on a model for representing narratives.
2016, Articolo in rivista, ENG
Raffaghelli, J. E.; Cucchiara, S.; Manganello, F.; Persico, D.
This article presents a systematic review of the literature on Digital Scholarship, aimed at better understanding the collocation of this research area at the crossroad of several disciplines and strands of research. The authors analysed 45 articles in order to draw a picture of research in this area. In the first phase, the articles were classified, and relevant quantitative and qualitative data were analysed. Results showed that three clear strands of research do exist: Digital Libraries, Networked Scholarship and Digital Humanities. Moreover, researchers involved in this research area tackle the problems related to technological uptake in the scholar's profession from different points of view, and define the field in different - often complementary - ways, thus generating the perception of a research area still in need of a unifying vision. In the second phase, authors searched for evidence of the disciplinary contributions and interdisciplinary cohesion of research carried out in this area through the use of bibliometric maps. Results suggest that the area of Digital Scholarship, still in its infancy, is advancing in a rather fragmented way, shaping itself around the above-mentioned strands, each with its own research agenda. However, results from the cross-citation analysis suggest that the Networked Scholarship strand is more cohesive than the others in terms of cross-citations.
2016, Software, ENG
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.
2016, Articolo in rivista, ENG
Thanos C.
The characteristics of modern science, i.e., data-intensive, multidisciplinary, open, and heavily dependent on Internet technologies, entail the creation of a linked scholarly record that is online and open. Instrumental in making this vision happen is the development of the next generation of Open Cyber-Scholarly Infrastructures (OCIs), i.e., enablers of an open, evolvable, and extensible scholarly ecosystem. The paper delineates the evolving scenario of the modern scholarly record and describes the functionality of future OCIs as well as the radical changes in scholarly practices including new reading, learning, and information-seeking practices enabled by OCIs.
2016, Abstract in rivista, ENG
Pagano P.
The author has been invited to write about the uses of hybrid data infrastructures as VREs-as-a-service.
2016, Articolo in rivista, ITA
Mannocci A.; Casarosa V.; Manghi P.; Zoppi F.
La lunga tradizione epigrafica, risalente al secolo XVI, epoca ben lontana dai concetti di globalizzazione, standardizzazione e interoperabilità, ha fatto sì che nel tempo si sedimentassero, nelle varie comunità di studiosi, modus operandi spesso contrastanti. All'inizio degli anni '30 il Sistema di Leida (B. a. Van GroninGen, "Projet d'unification des systèmes de signes critiques", in Chronique d'Égypte 7, 1932, pp. 262-269) ha contribuito a ridurre notevolmente la frammentazione presente nei testi, ma una nuova deriva si è verificata dagli anni 90 in poi quando, con l'arrivo di Internet e del Web, gli archivi epigrafici hanno iniziato la loro conversione al digitale. Nonostante la definizione di uno standard per l'annotazione di documenti a carattere epigrafico (EpiDoc: http://sourceforge.net/p/epidoc/wiki/Home/) le comunità hanno per lo più operato in modo indipendente e senza nessuna linea guida condivisa, lasciando di fatto il panorama altamente frammentario. Il progetto EAGLE mira proprio a riconciliare e riunificare sotto un'unica egida le varie comunità epigrafiche e rendere i loro contenuti ricercabili da un unico punto di accesso, e a questo scopo ha sviluppato un'infrastruttura che consente l'aggregazione di tali contenuti e la loro armonizzazione secondo un modello di dati condiviso, e permette infine di interrogare i dati sia attraverso il proprio portale che attraverso Europeana.
2015, Contributo in atti di convegno, ENG
Bardi A.; Castelli D.; Manghi P.
The mission of the OpenAIRE initiative is to foster an Open Science e-Infrastructure that links people, ideas and resources for the free flow, access, sharing, and re-use of research outcomes, services and processes for the advancement of research and the dissemination of scientific knowledge. Its scope goes beyond scientific articles, recognizing that to achieve its full potential, hence enable reproducibility and repeatability of scientific process, scholarly communication should ensure access to the whole range of digital products generated by such process, such as research data, software and models. This paper describes the sequence of enhancements applied over the years to the OpenAIRE infrastructure in order to support this vision of scholarly communication. OpenAIRE offers services to collect information about publication, dataset, and software research products from authoritative data sources (e.g. publication/data repositories, CRIS systems) and to reconstruct by mining the semantic links between them, enabling the reconstruction of a research context.
2015, Contributo in atti di convegno, ENG
Mannocci A.; Casarosa V.; Manghi P.; Zoppi F.
The EAGLE project aggregates epigraphy related content from about 20 different data providers, and makes its content available to both Europeana and to scholars. Data Quality monitoring is a key issue in Aggregative Data Infrastructures, where content is collected from a number of different sources with different data models and quality standards. This paper presents a Monitoring Framework for enabling the observation and monitoring of an aggregative infrastructure focusing on the description of the Data Flow and Dynamics Service, and exemplifying these concepts with a use case tailored to the characteristics of the EAGLE aggregation data flow. An Infrastructure Quality Manager (IQM) is provided with a Web user interface (WebUI), allowing her to describe the data flows taking place in the infrastructure and to define monitoring scenarios. The scenarios will include the definition of sensors (pieces of software plugged into the data flow), which will provide observations of measured objects. The scenarios include also the definition of controls and analysers, which will store and process the observations received from the sensors and will verify if the values of the measured features comply with some expected behaviour over time. A monitoring scenario for EAGLE has been defined and tested on simulated data (the monitoring framework is still under development) in order to monitor the "health" of different data collections involved in the EAGLE collection and transformation workflows.
2015, Software, ENG
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.
2015, Rapporto di progetto (Project report), ENG
Manghi P.; Bardi A.; Atzori C.; Artini M.
This deliverable describes the OpenAIRE Literature Broker Service. The Service is designed to offer subscription and notification functionalities for institutional repositories to: (i) learn about publication objects in OpenAIRE that do not appear in their collection but may be pertinent to it, and (ii) learn about extra properties or relationships relative to publication objects in their collection.