• DARIAH EU
• Publicationsclose
• Research dataclose
• Other research productsclose
• 2017-2021close
• Article close
• Preprint close
• DARIAH EU close

The present paper describes the etymological component of the TEI Lex-0 initiative which aims at defining a terser subset of the TEI guidelines for the representation of etymological features in dictionary entries. Going beyond the basic provision of etymological mechanisms in the TEI guidelines, TEI Lex-0 Etym proposes a systematic representation of etymological and cognate descriptions by means of embedded constructs based on the (for etymologies) and (for etymons and cognates) elements. In particular, given that all the potential contents of etymons are highly analogous to those of dictionary entries in general, the contents presented herein heavily re-use many of the corresponding features and constraints introduced in other components of the TEI Lex-0 to the encoding of etymologies and etymons. The TEI Lex-0 Etym model is also closely aligned to ISO 24613-3 on modelling etymological data and the corresponding TEI serialisation available in ISO 24613-4.

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.

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presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections.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.

Research funding organizations, particularly at international level, are increasingly promoting the\ud creation and maintenance of open access research infrastructures (RI). These resources have\ud assumed a pivotal role as support for the new open and networked science in their dimension of\ud technical and operational frameworks that allow scientists and stakeholders to collaborate and\ud share scientific data and results. In Social Sciences and Humanities (SSH), the creation and\ud exploitation of open data platforms is still attempting to catch up with longer-standing practices\ud in the “hard sciences” as the resistance to wider data sharing has not yet been completely\ud overcome. This paper aims to describe how a large project, financed by the European\ud Commission, managed the creation of a RI in the field of SSH, showing the steps undertaken to\ud comply with the GDPR regulations and prepare the data for useful sharing and reuse. In this\ud regard, the authors present the case study of the Horizon 2020 “CultureLabs” project, placing\ud emphasis on some specific practical factors that they believe are particularly important for\ud implementing open access principles in the establishment and maintenance of RIs in the new\ud course of science based on sharing and openness. In particular, the authors will focus on creation\ud of “useful” and GDPR-compliant data and the impact on research activities as a result of their\ud (re)utilisation; the control of the data management process; and the compliance with funders’\ud requirements (e.g. in terms of data security). The reflection on the interplay of these aspects,\ud operated through a case study, appears to be crucial in moving away from a merely theoretical\ud approach to addressing the issue of open access, and it hopes to serve as a guide or a warning for\ud those who create and administer open RIs.

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’ 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; (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.

This paper provides a general introduction to the SeamlessAccess (SA) initiative, covering the following four topics: Why are we here? A recap of why was SA created and the history of this initiative to date; How does it work? A walk through how Federated Authentication and SA work, so you are familiar with some of the technical terms and we can build on that knowledge when we address privacy and security; What is the current status? An update on the status of this initiative; How do I participate? Information on how you can participate to deliver more seamless access to your users.

The National Research Council of Italy (CNR) is involved in the E-Cabin project, which aims to create a futuristic and intelligent cabin in order both to improve the well- being and satisfaction of passengers and to minimize the on-board waste by using advanced consumption control.

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.

Bericht der Römisch-Germanischen Kommission, Bd. 97 2016(2020): Bericht der Römisch-Germanischen Kommission -

This article describes how virtual research environments (VREs) offer new opportunities for researchers to analyse open data and to obtain new insights for policy making. Although various VRE-related initiatives are under development, there is a lack of insight into how VREs support collaborative open data analysis by researchers and how this might be improved, ultimately leading to input for policy making to solve societal issues. This article clarifies in which ways VREs support researchers in open data analysis. Seven cases presenting different modes of researcher support for open data analysis were investigated and compared. Four types of support were identified: 1) ‘Figure it out yourself', 2) ‘Leading users by the hand', 3) ‘Training to provide the basics' and 4) ‘Learning from peers'. The author provides recommendations to improve the support of researchers' open data analysis and to subsequently obtain new insights for policy making to solve societal challenges.