• DARIAH EU
• Publicationsclose
• Research dataclose
• Research softwareclose
• 2019-2023close
• Open Access close
• Article close
• Preprint close
• DARIAH EU close

Cultural Heritage and Digital Humanities have become major application fields of Linked Data and Semantic Web technologies. This editorial introduces the special issue of the Semantic Web (SWJ) journal on Semantic Web for Cultural Heritage. In total 30 submissions for the call of papers were received, of which 11 were selected for publication. The papers cover a wide spectrum of modelled topics related to language, reading and writing, narratives, historical events and cultural artefacts, while describing reusable methodologies and tools for cultural data management. This issue indicates and demonstrates the high potential of Semantic Web technologies for applications in the Cultural Heritage domain.

Social sciences and humanities (SSH) research is divided across a wide array of disciplines, sub-disciplines and languages. While this specialization makes it possible to investigate the extensive variety of SSH topics, it also leads to a fragmentation that prevents SSH research from reaching its full potential. The TRIPLE project brings answers to these issues by developing an innovative discovery platform for SSH data, researchers&rsquo (3) its multilingual, multicultural and interdisciplinary vocation. These results have been achieved thanks to different methodologies such as a co-design process, market analysis and benchmarking, monitoring and co-building. These preliminary results highlight the need for respecting diversity of practices and communities through coordination and harmonization. projects and profiles. Having started in October 2019, the project has already three main achievements that are presented in this paper: (1) the definition of main features of the GOTRIPLE platform (2) its interoperability

Wenige Autoren haben die europäische Lyrik so geprägt wie Francesco Petrarca (1304-1374). Das liegt vor allem an dem poetischen Stil von Petrarcas wichtigstem Text in italienischer Sprache, einer Sammlung von Liebesgedichten mit dem Titel Canzoniere, die über Jahrhunderte zu einem bedeutenden poetischen Modell für die europäische Lyrik wurde. Petrarcas Einfluss auf die europäische Literatur wird in der Forschung oft mit dem Ausdruck „Petrarkismus“ bezeichnet, allerdings ist die genaue Definition des Begriffs nach wie vor umstritten. Ein Grund dafür mag sein, dass nur wenige Untersuchungen zum Petrarkismus ein größeres Textkorpus in den Blick nehmen. Die Analyse eines umfassenden Korpus petrarkistischer Dichtung könnte allerdings nicht nur existierende Definitionen auf breiterer Basis erproben, sondern ferner einen quantitativ fundierten Beitrag zum besseren Verständnis des Petrarkismus leisten. Der vorliegende Beitrag untersucht ausgehend von bestehenden Erklärungsansätzen des Petrarkismus ein Korpus aus 55 italienischen Gedichtsammlungen mittels digitaler stilometrischer, Kookkurrenz- und Netzwerkanalysen.

AbstractThe paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practical use case on a corpus of circa 15.000 digitized resources about European integration since 1945. The corpus allowed generating a dynamic multilayer network which represents different kinds of named entities appearing and co-appearing in the collections. To our knowledge, Intergraph is one of the first interactive tools to visualize dynamic multilayer graphs for collections of digitized historical sources. Graph visualization and interaction methods have been designed based on user requirements for content exploration by non-technical users without a strong background in network science, and to compensate for common flaws with the annotation of named entities. Users work with self-selected subsets of the overall data by interacting with a scene of small graphs which can be added, altered and compared. This allows an interest-driven navigation in the corpus and the discovery of the interconnections of its entities across time.

Die vDHd 2021 ist eine durch die Community des Verbandes Digital Humanities im deutschsprachigen Raum organisierte virtuelle Konferenz. Die Abstracts haben kein Peer-Review-Verfahren durchlaufen. vDHd 2021 Experimente, Konferenz Abstract

V razpravi so predstavljena in analizirana slovenska prostodostopna terminološka spletišča in spletne strani nekaterih terminoloških slovarskih projektov, ki se razlikujejo po številu virov oziroma strokovnih področij, zasnovi, številu avtorjev, obsežnosti itd. Glavni namen je bil ugotoviti možnosti predstavitve raznolikih terminoloških virov v novem terminološkem portalu, pri čemer je treba upoštevati, da imajo različni uporabniki terminologije različne potrebe.

In this article, we propose a Category Theory approach to (syntactic) interoperability between linguistic tools. The resulting category consists of textual documents, including any linguistic annotations, NLP tools that analyze texts and add additional linguistic information, and format converters. Format converters are necessary to make the tools both able to read and to produce different output formats, which is the key to interoperability. The idea behind this document is the parallelism between the concepts of composition and associativity in Category Theory with the NLP pipelines. We show how pipelines of linguistic tools can be modeled into the conceptual framework of Category Theory and we successfully apply this method to two real-life examples. Paper submitted to Applied Category Theory 2020 and accepted for Virtual Poster Session

This article shows that metadata plays a central role in our society and concludes that through collaborative work, it is possible to pool solutions and to establish relationships of cooperation, both at the level of practical tool development and with regard to sharing and creating knowledge and know-how. ispartof: ABB: Archives et Bibliothèques de Belgique - Archief- en Bibliotheekwezen in België vol:106 pages:135-144 status: published

In 2018, the European Strategic Forum for research infrastructures (ESFRI) was tasked by the Competitiveness Council, a configuration of the Council of the EU, to develop a common approach for monitoring of Research Infrastructures' performance. To this end, ESFRI established a working group, which has proposed 21 Key Performance Indicators (KPIs) to monitor the progress of the Research Infrastructures (RIs) addressed towards their objectives. The RIs were then asked to assess their relevance for their institution. The paper aims to identify the relevance of certain indicators for particular groups of RIs by using cluster and discriminant analysis. This could contribute to development of a monitoring system, tailored to particular RIs. To obtain a typology of the RIs, we first performed cluster analysis of the RIs according to their properties, which revealed clusters of RIs with similar characteristics, based on to the domain of operation, such as food, environment or engineering. Then, discriminant analysis was used to study how the relevance of the KPIs differs among the obtained clusters. This analysis revealed that the percentage of RIs correctly classified into five clusters, using the KPIs, is 80%. Such a high percentage indicates that there are significant differences in the relevance of certain indicators, depending on the ESFRI domain of the RI. The indicators therefore need to be adapted to the type of infrastructure. It is therefore proposed that the Strategic Working Groups of ESFRI addressing specific domains should be involved in the tailored development of the monitoring of pan-European RIs. 15 pages, 8 tables, 3 figures