RESULTS FROM 1 TO 20 OF 64

2023, Articolo in rivista, ENG

From unstructured texts to semantic story maps

Bartalesi V.; Coro G.; Lenzi E.; Pagano P.; Pratelli N.

Digital maps greatly support storytelling about territories, especially when enriched with data describing cultural, societal, and ecological aspects, conveying emotional messages that describe the territory as a whole. Story maps are interactive online digital narratives that can describe a territory beyond its map by enriching the map with text, pictures, videos, and other multimedia information. This paper presents a semi-automatic workflow to produce story maps from textual documents containing territory data. An expert first assembles one territory-contextual document containing text and images. Then, automatic processes use natural language processing and Wikidata services to (i) extract key concepts (entities) and geospatial coordinates associated with the territory, (ii) assemble a logically-ordered sequence of enriched story-map events, and (iii) openly publish online story maps and an interoperable Linked Open Data semantic knowledge base for event exploration and inter-story correlation analyses. Our workflow uses an Open Science-oriented methodology to publish all processes and data. Through our workflow, we produced story maps for the value chains and territories of 23 rural European areas of 16 countries. Through numerical evaluation, we demonstrated that territory experts considered the story maps effective in describing their territories, and appropriate for communicating with citizens and stakeholders.

International journal of digital earth (Online) 16 (1), pp. 234–250

DOI: 10.1080/17538947.2023.2168774

2022, Articolo in rivista, ENG

Linking different scientific digital libraries in Digital Humanities: the IMAGO case study

Bartalesi V.; Pratelli N.; Lenzi E.

In the last years, several scientific digital libraries (DLs) in digital humanities (DH) field have been developed following the Open Science principles. These DLs aim at sharing the research outcomes, in several cases as FAIR data, and at creating linked information spaces. In several cases, to reach these aims the Semantic Web technologies and Linked Data have been used. This paper presents how the current scientific DLs in the DH field can provide the creation of linked information spaces and navigational services that allow users to navigate them, using Semantic Web technologies to formally represent, search and browsing knowledge. To support the argument, we present our experience in developing a scientific DL supporting scholars in creating, evolving and consulting a knowledge base related to Medieval and Renaissance geographical works within the three years (2020-2023) Italian National research project IMAGO--Index Medii Aevi Geographiae Operum. In the presented case study, a linked information space was created to allow users to discover and navigate knowledge across multiple repositories, thanks to the extensive use of ontologies. In particular, the linked information spaces created within the IMAGO project make use of five different datasets, i.e. Wikidata, the MIRABILE digital archive, the Nuovo Soggettario thesaurus, Mapping Manuscript Migration knowledge base and the Pleiades gazetteer. The linking among different datasets allows to considerably enrich the knowledge collected in the IMAGO KB.

International journal on digital libraries (Internet)

DOI: 10.1007/s00799-022-00331-4

2022, Articolo in rivista, ENG

An exploratory approach to archaeological knowledge production

Thanos C.; Meghini C.; Bartalesi V.; Coro G.

The current scientific context is characterized by intensive digitization of the research outcomes and by the creation of data infrastructures for the systematic publication of datasets and data services. Several relationships can exist among these outcomes. Some of them are explicit, e.g. the relationships of spatial or temporal similarity, whereas others are hidden, e.g. the relationship of causality. By materializing these hidden relationships through a linking mechanism, several patterns can be established. These knowledge patterns may lead to the discovery of information previously unknown. A new approach to knowledge production can emerge by following these patterns. This new approach is exploratory because by following these patterns, a researcher can get new insights into a research problem. In the paper, we report our effort to depict this new exploratory approach using Linked Data and Semantic Web technologies (RDF, OWL). As a use case, we apply our approach to the archaeological domain.

International journal on digital libraries (Internet)

DOI: 10.1007/s00799-022-00324-3

2021, Articolo in rivista, ENG

Towards a knowledge base of medieval and renaissance geographical Latin works: the IMAGO ontology

Bartalesi 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.

Digital Scholarship in the Humanities

DOI: 10.1093/llc/fqab060

2021, Abstract in atti di convegno, ENG

The Hypermedia Dante Network Project

Tomazzoli G.; Livraghi L.M.G.; Metilli D.; Pratelli N.; Bartalesi 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.

AIUCD 2021 - DH per la società: e-guaglianza, partecipazione, diritti e valori nell'era digitale, Pisa, 19-22/01/2021

2019, Curatela di atti di convegno (conference proceedings), ENG

Semantics for biodiversity and ecosystem research

Alsayed Algergawy, Clement Jonquet, Naouel Karam, Friederike Klan, Nikos Minadakis, Alessandro Oggioni, Caterina Bergami, Ilaria Rosati

Biodiversity research aims at comprehending the totality and variability of organisms, their morphology, genetics, life history, habitats and geographical ranges; including the network of interactions with the abiotic and biotic components. Ecosystem research puts its focus on how natural systems and their valuable resources can be protected and thus is tightly coupled to biodiversity. Both domains are outstanding not only with respect to their societal relevance, but also from a data science point of view. They deal with heterogeneous and distributed data resources generated from a large number of disciplines which need to be integrated to advance scientific knowledge in these areas. The presence of such a myriad of data resources makes integrative biodiversity and ecosystem research increasingly important, but at the same time very challenging. It is severely strangled by the way data and information are made available and handled today. Semantic Web techniques have shown their potential to enhance data interoperability, discovery and integration by providing common formats to achieve a formalized conceptual environment, but have not been widely applied to address open data management issues in the biodiversity domain as well as in ecosystem research. This session aims at bringing together computer scientists, biologists and ecologists working on Semantic Web approaches in biodiversity and ecosystem research, including related areas such as agro-ecology. After the successful of a number of initiatives of the organizers, such as the "Thesauri & Semantics in the Ecological Domain", "Ontology & Semantic Web for Web for Research" and "Semantics for Biodiversity" workshops, the goal of the session is to keep up the positive momentum and attempt to define a common strategy for advancing semantic web approaches in these domains. The goal is to present new ideas and early on experiences related to the design of high quality biodiversity and ecosystem information systems based on Semantic Web techniques and to foster the exchange on these topics between disciplines. We welcome topics related to the development and application of semantic technologies to support research in the biodiversity and ecosystem domain and related areas. These include, but are not limited to the following areas: · Applications of Semantic Web technologies for biodiversity · Semantic data integration · Development and design of domain specific ontologies · Ontology-based applications · Semantic annotation of biodiversity data · Semantic approaches for the discovery of biodiversity data and research data services · Semantic support for scientific workflows · Data provenance and reproducibility · Data lifecycle management · Knowledge extraction and text mining · Ontology learning · Standards for biodiversity Data · Linked Open biodiversity Data · Ontology development for biodiversity · Semantic representation of biodiversity and ecosystem data · Interoperability of biodiversity and earth observation data

DOI: 10.22032/dbt.38375

2019, Abstract in atti di convegno, ENG

Lexicography and the Semantic Web: A Demo with LexO

Andrea Bellandi, Fahad Khan

The purpose of this contribution is to present LexO8 , the first version of a collaborative web editor for easily building and managing of lexical and terminological resources in the context of the Semantic Web. The adoption of Semantic Web technologies and the Linked Data paradigm has been driven by the need to ensure the construction of resources that are interoperable and can be shared and reused by the scientific community. LexO's primary objective is to enable terminologists and lexicographers to create a resource ex novo this is by means of the adoption of a lexical model that allows the association of detailed and structured lexical information (Bellandi et al., 2018); (Khan et al., 2016) to ontological concepts. In this respect, the lemon lexical model (McCrae et al., 2012), later renamed OntoLex-lemon (McCrae et al., 2017), is currently regarded as the de facto standard for enriching Semantic Web ontologies with lexical information. LexO can provide a support for creating, managing, publishing lexical and terminological resources as Linked Open Data, that is typically a complex task, especially for those who have not yet mastered Semantic Web-based standards and technologies, such as RDF and OWL. However, the long-term ambition of LexO would be to make a deeper contribution to e-lexicography.

Electronic lexicography in the 21st century (eLex 2019): Smart Lexicography., 1 - 3/10/2019

2019, Curatela di atti di convegno (conference proceedings), ENG

Digital Libraries: Supporting Open Science

Manghi P.; Candela L.; Silvello G.

This book constitutes the thoroughly refereed proceedings of the 15th Italian Research Conference on Digital Libraries, IRCDL 2019, held in Pisa, Italy, in January/February 2019. The 22 full papers and 5 short papers presented were carefully selected from 42 submissions. The papers are organized in topical sections on information retrieval, digital libraries and archives, information integration, open science, and data mining.

DOI: 10.1007/978-3-030-11226-4

2018, Contributo in atti di convegno, ENG

Customising LOD views: A declarative approach

Graziosi, Alice; Di Iorio, Angelo; Poggi, Francesco; Peroni, Silvio; Bonini, Luca

This paper is about web applications to browse and efficiently visualise large Linked Open Dataset (LOD). The focus is on the customisation of LOD views over semantic datasets also for non expert users. The paper presents the motivation and the details of a visual data format and a chain of tools to easily produce and customize such visualisations. Two proofs of concepts are also presented in order to demonstrate the feasibility and flexibility of our approach.

ACM Symposium on Applied Computing (SAC), Pau, France, 9-13/4/2018

DOI: 10.1145/3167132.3167367

2018, Contributo in volume, ENG

Assigning creative commons licenses to research metadata: issues and cases

Poblet M.; Aryani A.; Manghi P.; Unsworth K.; Wang J.; Hausstein B.; Dallmeier-Tiessen S.; Klas C.P.; Casanovas P.; Rodriguez-Doncel V.

This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.

DOI: 10.1007/978-3-030-00178-0_16

2017, Contributo in atti di convegno, ENG

Extending the genomic data model and the genometric query language with domain taxonomies

Cappelli, Eleonora; Weitschek, Emanuel

In bioinformatics and biology researchers annotate experimental data in many different ways. When other researchers need to query these data, they are typically unaware of the specificity of the annotations; often they encounter possible mismatches between the granularity of the query and the granularity of the annotations. In this work, we propose an extension of the Genomic Data Model and the GenoMetric Query Language (a well established framework for biomedical data), able to search, integrate, and extend genomic data. The extension is going to be performed through domain taxonomies and by considering many external ontologies and databases. An ad-hoc software system and query language will be implemented for the storage, management, search, retrieval, and integration of biomedical data.

International Conference on Web Engineering, 04/06/2017,08/06/2017Lecture notes in computer science 10360 LNCS, pp. 567–574

DOI: 10.1007/978-3-319-60131-1_44

2017, Contributo in atti di convegno, ENG

Semantic knowledge management and integration services for AAL

Modoni, Gianfranco E.; Veniero, Mario; Sacco, Marco

The integration of a set of heterogeneous data streams coming from different source into a coherent scheme is still one of the key challenges in designing the new generation of AAL system enabling the Smart Home. This paper introduces a service-oriented platform that aims to enhance data integration and synchronization between physical and virtual components of an AAL system. The idea behind this research work goes in the direction to find scalable technological solution in order to answer the continued growth of objects (Things) connected to the network within the domestic environment. Thus, the Smart Objects can operate synergistically on the basis of a shared semantic model, supporting various tailored services that assist elderly users or users with disabilities for a better and healthier life in their preferred living environment. Moreover, a prototype of the platform has been implemented and validated in order to prove the correctness of the approach and conduct a preliminary performance evaluation.

Italian Forum of Ambient Assisted Living 2016, 22/06/2016Lecture notes in electrical engineering (Print) 426, pp. 287–299

DOI: 10.1007/978-3-319-54283-6_22

2017, Contributo in volume, ENG

Using Formal Narratives in Digital Libraries

Meghini C.; Bartalesi V.; Metilli D.

Currently, Digital Libraries (DLs) provide simple search functionalities to respond to the user's queries, which return a ranked list of the resources included in the DLs. No semantic relation among the returned objects is usually reported that could help the user to obtain a more complete knowledge on the subject of the search. The introduction of the Semantic Web and in particular of the Linked Open Data has the potential of improving the search functionalities of DLs. In this context, the long-term aim of our study has been to introduce the narrative as new first-class search functionality of DLs. We intend narratives as 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. In this paper, we report an overview of the main ontologies for representing events and of the tools developed in the Semantic Web field to visualize events and narratives. This overview is needed for achieving the first goal of our research, that is the development of an ontology for representing narratives and, on the top of this ontology, a tool to construct and visualize narratives using the digital objects included in DLs.

DOI: 10.1007/978-3-319-68130-6_7

2017, Contributo in volume, ENG

BioGrakn: A Knowledge Graph-Based Semantic Database for Biomedical Sciences

Antonio Messina, Haikal Pribadi, Jo Stichbury, Michelangelo Bucci, Szymon Klarman, and Alfonso Urso

The proliferation of biological research data generated and shared openly online is of huge benefit to the scientific community, but there are often significant challenges to overcome before it can be integrated from different sources and re-used to gain new knowledge. This paper introduces BioGrakn, which is a graph-based deductive data- base, combining the power of knowledge graphs and machine reason- ing. BioGrakn illustrates how data can be aggregated and integrated, modelled in all its complexity and contextual specificity, and extended as needed. Built upon GRAKN.AI, it provides an integrated, intelligent database for researchers handling complex data.

DOI: 10.1007/978-3-319-61566-0

2016, Rapporto tecnico, ENG

Assigning creative commons licenses to research metadata: issues and cases

Poblet M.; Aryani A.; Manghi P.; Unsworth K.; Wang J.; Hausstein B.; Dallmeier-Tiessen S.; Klas C.; Casanovas P.; Rodriguez-Doncel V.

This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.

2016, Contributo in atti di convegno, ENG

Usability evaluation of the digital library DanteSources

Bartalesi V.; Meghini C.; Metilli D.; Andriani P.

In this paper we present DanteSources, a Digital Library of Dante Alighieri's primary sources, i.e. the works of other authors that Dante cites in his texts. Currently, this information is scattered in many books, making it difficult for the scholars to retrieve it and also to produce a systematical overview of the cultural background of Dante. In order to overcome this problem, an ontology expressed in RDF/S was developed to represent this knowledge. Once the ontology had been defined, we populated it with the data included in authoritative commentaries to Dante's works. We stored the resulting RDF graph into a Virtuoso triple store. Finally, on top of this graph, we developed DanteSources, which allows users to extract and display the knowledge stored in the knowledge base in the form of charts and tables. In this paper we present the results of a survey to collect suggestions and comments from end-users on their interactions with DanteSources in order to evaluate its usability.

HCI International 2016 - Human-Computer Interaction. Novel User Experiences. 18th International Conference, Toronto, ON, Canada, 17-22 July 2016Lecture notes in computer science, pp. 191–203

DOI: 10.1007/978-3-319-39513-5_18

2016, Contributo in atti di convegno, ENG

Leveraging a narrative ontology to query a literary text

Khan, Anas Fahad; Khan, Anas Fahad; Bellandi, Andrea; Benotto, Giulia; Frontini, Francesca; Giovannetti, Emiliano; Reboul, Marianne

In this work we propose a model for the representation of the narrative of a literary text. The model is structured in an ontology and a lexicon constituting a knowledge base that can be queried by a system. This narrative ontology, as well as describing the actors, locations, situations found in the text, provides an explicit formal representation of the timeline of the story. We will focus on a specific case study, that of the representation of a selected portion of Homer's Odyssey, in particular of the knowledge required to answer a selection of salient queries, formulated by a literary scholar. This work is being carried out within the framework of the Semantic Web by adopting models and standards such as RDF, OWL, SPARQL, and lemon among others.

7th International Workshop on Computational Models of Narrative (CMN'16), Krakow, Poland, July 11-12 2016Open access series in informatics 53, pp. 10.1–10.10

DOI: 10.4230/OASIcs.CMN.2016.10

2016, Articolo in rivista, ENG

EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology

Pauwels P.; Terkaj W.

An increasing number of information management and information exchange applications in construction industry is relying on semantic web technologies or tools from the Linked Open Data (LOD) domain to support data interoperability, flexible data exchange, distributed data management and the development of reusable tools. These goals tend to be overlapped with the purposes of the Industry Foundation Classes (IFC), which is a standard for the construction industry defined through an EXPRESS schema. A connecting point between semantic web technologies and the IFC standard would be represented by an agreed Web Ontology Language (OWL) ontology for IFC (termed ifcOWL) that allows to (1) keep on using the well-established IFC standard for representing construction data, (2) exploit the enablers of semantic web technologies in terms of data distribution, extensibility of the data model, querying, and reasoning, and (3) re-use general purpose software implementations for data storage, consistency checking and knowledge inference. Therefore, in this paper we will look into existing efforts in obtaining an ifcOWL ontology from the EXPRESS schemas of IFC and analyse which features would be required in a usable and recommendable ifcOWL ontology. In making this analysis, we present our implementations of an EXPRESS-to-OWL converter and the key features of the resulting ifcOWL ontology.

Automation in construction (Print) 63, pp. 100–133

DOI: 10.1016/j.autcon.2015.12.003

2015, Rapporto di progetto (Project report), ITA

D2_15: Sviluppo del motore della piattaforma

E. Caldarola, G. E. Modoni

Il documento presenta le metodologie utilizzate per lo sviluppo del motore della piattaforma di integrazione Design4All.

2015, Rapporto tecnico, ITA

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.

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Keyword

Semantic web

RESULTS FROM 1 TO 20 OF 64