1,720,966 research outputs found
Using Geospatial Semantic Web for Exploring Geographic Knowledge in Medieval Manuscripts
No full textThis paper explores the capabilities of the Geospatial Semantic Web to support scholars in studying the geographic knowledge included in medieval and Renaissance works. In the context of the Italian national research project IMAGO, we developed a CRM-based ontology that aligns with the Open Geospatial Consortium (OCG) GeoSPARQL standard. The ontology enables geospatial queries on the IMAGO knowledge graph. The results of these queries, as detailed in this paper, demonstrate the effectiveness of this approach in representing the geospatial data and in inferring new knowledge. For example, using this approach, we are able to identify all the works that mention places in a specific region, or by combining geographic knowledge with knowledge about the literary genre of the works, we can identify authors who travelled to a particular territory, such as the Holy Land. Furthermore, combining temporal and geospatial information enables us to discover places within a particular territory mentioned in manuscripts of a specific century. These examples demonstrate the potential of the Geospatial Semantic Web approach to uncover previously hidden connections and enrich our understanding of historical and geographical data
The IMAGO project: Towards a knowledge base of medieval and renaissance geographical works
No full textThe image of the world created by the Medieval and Renaissance culture was crucial to the development of Western thought in European history. To the best of our knowledge Medieval and Renaissance geographical works have not been studied using digital methods. The three years (2020-2023) Italian National research project IMAGO - Index Medii Aevi Geographiae Operum - aims at providing a systematic overview of this literature using Semantic Web technologies. As the first step to develop tools to support scholars in creating, evolving and consulting a knowledge base (KB) of the geographical works, we created an OWL 2 DL ontology. Following the re-use logic and to maximize the interoperability, we developed the ontology as an extension of two reference ontologies, that is the CIDOC CRM vocabulary and its extension FRBRoo, including its in-progress reformulation, LRMoo. In this paper, we present the project, the ontology and the tool to populate it that we developed. Furthermore, we present a preliminary study to map the works collected in the IMAGO KB and the manuscripts stored in the KB of the Mapping Manuscript Migrations project
Linking different scientific digital libraries in Digital Humanities: the IMAGO case study
No full textIn 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
A Knowledge Base of Medieval and Renaissance Geographic Latin Works
No full textThe geography of the world created during the Middle Ages and Renaissance (VI-XV centuries) was crucial to the development of Western thought in the European history. Until now, to the best of our knowledge, Medieval and Renaissance geographic Latin literature has not been studied using digital methods. The Italian National research project IMAGO - Index Medii Aevi Geographiae Operum - (2020-2023) aims at providing a systematic overview of this literature using Semantic Web technologies and the Linked Open Data paradigm. As the first step to develop tools to support scholars in creating, evolving and consulting a knowledge base (KB) of the geographic works, we created an OWL 2 DL ontology. To maximize its interoperability, we developed the ontology as an extension of two reference vocabularies: the CIDOC CRM and FRBRoo (including its in-progress reformulation LRMoo). In this paper, we briefly present the project, the ontology, and the automatic and semi-automatic tools we developed to populate it. The final aim of the project is the creation of a Web application allowing scholars to freely access and visualise the data collected in the IMAGO knowledge base
Towards a knowledge base of medieval and renaissance geographical Latin works: The IMAGO ontology
No full textIn 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
From unstructured texts to semantic story maps
No full textDigital 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
Using Semantic Web to Create and Explore an Index of Toponyms Cited in Medieval Geographical Works
No full textWestern thought in European history was mainly affected by the image of the world created during the Middle Ages and Renaissance. The most popular reason to travel during the Middle Ages was taking a pilgrimage. Jerusalem, Rome, and Santiago de Compostela were the most popular destinations. It is not surprising that a lot of works written by travellers as guides for pilgrims exist. By the beginning of the Renaissance, a more precise image of the world was defined, thanks to the discovery of ancient geographical models, especially the work of Ptolemy. The Italian National Research Project (PRIN) IMAGO - - Index Medii Aevi Geographiae Operum - - (2020-2023) aims to provide a systematic overview of the medieval and renaissance Latin geographical literature using the Semantic Web technologies and the LOD paradigm. Indeed, until now, this literature has not been studied using digital methods. In particular, this article presents how we formally represented the knowledge about the toponyms, or place names, in the IMAGO ontology. To maximise the interoperability, we developed the IMAGO ontology as an extension of two reference vocabularies: the CIDOC CRM and its extension FRBRoo, including its in-progress reformulation, LRMoo. Furthermore, we used Wikidata as reference knowledge base. As case study, we chose to represent the knowledge related to the toponyms cited by the Italian poet Dante Alighieri in his Latin works. We carried out a first experiment for visualising the knowledge about these toponyms on a map and in the form of tables and CSV files
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Hypermedia Dante Network Project
No full textIn 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
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