• DARIAH EU
• 2017-2021close
• Open Access close
• Article close
• English close
• Digital Humanities and Cultural Heritage close

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presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections.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

The European Holocaust Research Infrastructure (EHRI) portal website aims to aggregate digitally available archival descriptions concerning the Holocaust. This portal is actually a meta-catalogue, or an information aggregator, whose biggest goal is to have up-to-date information by means of building sustainable data pipelines between EHRI and its content providers. Just like in similar archival information aggregators (e.g. Archives Portal Europe or Monasterium), the XML-based metadata standard Encoded Archival Description (EAD) plays a key role. The article presents how EADs are imported into the portal, mainly thanks to the Open Archive Initiative protocols.

International audience

International audience

More and more cultural institutions use Linked Data principles to share and connect their collection metadata. In the archival field, initiatives emerge to exploit data contained in archival descriptions and adapt encoding standards to the semantic web. In this context, online authority files can be used to enrich metadata. However, relying on a decentralized network of knowledge bases such as Wikidata, DBpedia or even Viaf has its own difficulties. This paper aims to offer a critical view of these linked authority files by adopting a close-reading approach. Through a practical case study, we intend to identify and illustrate the possibilities and limits of RDF triples compared to institutions' less structured metadata. Workshop "Dariah "Trust and Understanding: the value of metadata in a digitally joined-up world" (14/05/2018, Brussels), preprint of the submission to the journal "Archives et Biblioth\`eques de Belgique"

International audience

International audience; The National Library Ivan Vazov in Plovdiv is the second largest library in Bulgaria. It serves asthe second national legal depository of Bulgarian printed works. In addition, it has contributedsignificantly to the preservation and the digital accessibility of the national cultural andhistorical heritage. This article offers an overview of the library’s history and currentdevelopments in the field of automation and digitization.

Digital archives of memory institutions are typically concerned with the cataloguing of artefacts of artistic, historical, and cultural value. Recently, new forms of citizen participation in cultural heritage have emerged, producing a wealth of material spanning from visitors’ experiential feedback on exhibitions and cultural artefacts to digitally mediated interactions like the ones happening on social media platforms. Citizen curation is proposed in the context of the European project SPICE (Social Participation, Cohesion, and Inclusion through Cultural Engagement) as a methodology for producing, collecting, interpreting, and archiving people’s responses to cultural objects, with the aim of favouring the emergence of multiple, sometimes conflicting, viewpoints and motivating users and memory institutions to reflect upon them. We argue that citizen curation urges to rethink the nature of computational infrastructures supporting data management of memory institutions, bringing novel challenges that include issues of distribution, authoritativeness, interdependence, privacy, and rights management. To approach these issues, we survey relevant literature toward a distributed, Linked Data infrastructure, with a focus on identifying the roles and requirements involved in such an infrastructure. We show how existing research can contribute significantly in facing the challenges raised by citizen curation and discuss challenges and opportunities from the socio-technical standpoint.

This article explores the affordances and functionalities of the Dutch CLARIAH research infrastructure – and the integrated video annotation tool – for doing media historical research with digitised audiovisual sources from television archives. The growing importance of digital research infrastructures, archives and tools, has enticed media historians to rethink their research practices more and more in terms of methodological transparency, tool criticism and reflection. Moreover, also questions related to the heuristics and hermeneutics of our scholarly work need to be reconsidered. The article hence sketches the role of digital research infrastructures for the humanities (in the Netherlands), and the use of video annotation in media studies and other research domains. By doing so, the authors reflect on their own specific engagements with the CLARIAH infrastructure and its tools, both as media historians and co-developers. This dual position greatly determines the possibilities and constraints for the various modes of digital scholarship relevant to media history. To exemplify this, two short case studies – based on a pilot project ‘Me and Myself. Tracing First Person in Documentary History in AV-Collections’ (M&M) – show how the authors deployed video annotation to segment interpretative units of interest, rather than opting for units of analysis common in statistical analysis. The deliberate choice to abandon formal modes of moving image annotation and analysis ensued from a delicate interplay between the desired interpretative research goals, and the integration of tool criticism and reflection in the research design. The authors found that due to the formal and stylistic complexity of documentaries, also alternative, hermeneutic research strategies ought to be supported by digital infrastructures and its tools.

We propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-of-speech (POS) tags, and morphological information. While previous work has focused on learning from raw word input, using word and character embeddings only, we show that for morphologically rich languages, such as Bulgarian, access to POS information contributes more to the performance gains than the detailed morphological information. Thus, we show that named entity recognition needs only coarse-grained POS tags, but at the same time it can benefit from simultaneously using some POS information of different granularity. Our evaluation results over a standard dataset show sizable improvements over the state-of-the-art for Bulgarian NER. named entity recognition; Bulgarian NER; morphology; morpho-syntax