• DARIAH EU
• Publicationsclose
• Research dataclose
• Research softwareclose
• Conference object close
• European Commission close
• EU close
• English close
• HAL Descartes close
• DARIAH EU close
• Digital Humanities and Cultural Heritage close

International audience; In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background search. Organising and making sense of all this data can be challenging as many historians continue to rely on analog or basic digital tools. We built an integrated note-taking environment for historians which unifies a set of func-tionalities we identified as important for historical research including editing, tagging, searching, sharing and visualization. Our approach was to involve users from the initial stage of brainstorming and requirement analysis through to design, implementation and evaluation. We report on the process and results of our work, and conclude by reflecting on our own experience in conducting user-centered visual analytics design for digital humanities.

International audience; Several Research Infrastructures(RIs)exist in the Humanities and Social Sciences, some –such as CLARIN, DARIAH and CESSDA –which address specific areas of interest, i.e. linguistic studies, digital humanities and social science data archives. RIs are also unique in their scope and application, largely tailored to their specific community needs. However, commonalities do exist and it is recognised that benefits are to be gained from these such as efficient use of resources, enabling multi-disciplinary research and sharing good practices. As such,a bridging project PARTHENOS has worked closely with CLARIN and DARIAH as well as ARIADNE (archaeology), CENDARI (history), EHRI (holocaust studies) and E-RIHS (heritage science) to iden-tify, develop and promote these commonalities. In this paper, we present some specif-ic examples of cross-discipline and trans-border applications arising from joint RI collaboration, allowing for entirely new avenues of research

International audience

International audience; This paper presents the work carried out within the EU Cendari project to provide an appropriate customisation of the EAG format that would fulfil the expectations of researchers in contemporary and medieval history describing where they could find collections and documents of specific interests. After describing the general data landscape that we have to deal with in the Cendari project, we specifically address the data entry and acquisition scenario to identify how this impacts on the actual data structures to be handled. We then present how we implemented such constraints by means of a full TEI/ODD specification of EAG and point out the main changes we made, which we think could also contribute to the further evolution of the EAG setting at large. We end up providing a wider picture of what we think could be the future of archival formats (EAG, EAD, EAC) if we want them to be more coherent and more sustainable at the service of both archives and researchers.

La conservation, l’étude et la numérisation des livres ont été avant tout justifiées par un besoin social ou individuel de lecture : utilitaire, pour obtenir un diplôme et avoir un métier, pour diffuser des idées, besoin hédoniste issu du plaisir de la lecture. Actuellement la constitution des corpus et la numérisation de collections pourraient remplacer les livres par les « données », dont la consultation mettrait en danger un rapport au texte qui était avant tout « linéaire ». Des exemples pris dans les fonds de la bibliothèque du Mans ou personnels permettent d’alimenter le débat autour de ce qui apparaît comme une déqualification de la lecture, au profit de résultats obtenus grâce à un outillage plus ou moins bien maîtrisé par l’humain. Once upon a time, the preservation, the study, and the digitization of books were primarily justified by utilitarian needs: to obtain a qualification, or to hold down a job — or to share ideas, or to satisfy a hedonistic need derived from the pleasure of reading. Nowadays the building of corpora and the digitization of collections could replace books by « data », the consultation of which threatens a close engagement with the linearity of text. I will comment on examples chosen from the library of Le Mans, and from my own collection, to question this apparent under valuing of reading in favour of results derived by means of tools only partly under human control.

International audience; This paper presents an attempt to provide a generic named-entity recognition and disambiguation module (NERD) called entity-fishing as a stable online service that demonstrates the possible delivery of sustainable technical services within DARIAH, the European digital research infrastructure for the arts and humanities. Deployed as part of the national infrastructure Huma-Num in France, this service provides an efficient state-of-the-art implementation coupled with standardised interfaces allowing an easy deployment on a variety of potential digital humanities contexts. The topics of accessibility and sustainability have been long discussed in the attempt of providing some best practices in the widely fragmented ecosystem of the DARIAH research infrastructure. The history of entity-fishing has been mentioned as an example of good practice: initially developed in the context of the FP9 CENDARI, the project was well received by the user community and continued to be further developed within the H2020 HIRMEOS project where several open access publishers have integrated the service to their collections of published monographs as a means to enhance retrieval and access.entity-fishing implements entity extraction as well as disambiguation against Wikipedia and Wikidata entries. The service is accessible through a REST API which allows easier and seamless integration, language independent and stable convention and a widely used service oriented architecture (SOA) design. Input and output data are carried out over a query data model with a defined structure providing flexibility to support the processing of partially annotated text or the repartition of text over several queries. The interface implements a variety of functionalities, like language recognition, sentence segmentation and modules for accessing and looking up concepts in the knowledge base. The API itself integrates more advanced contextual parametrisation or ranked outputs, allowing for the resilient integration in various possible use cases. The entity-fishing API has been used as a concrete use case3 to draft the experimental stand-off proposal, which has been submitted for integration into the TEI guidelines. The representation is also compliant with the Web Annotation Data Model (WADM).In this paper we aim at describing the functionalities of the service as a reference contribution to the subject of web-based NERD services. In order to cover all aspects, the architecture is structured to provide two complementary viewpoints. First, we discuss the system from the data angle, detailing the workflow from input to output and unpacking each building box in the processing flow. Secondly, with a more academic approach, we provide a transversal schema of the different components taking into account non-functional requirements in order to facilitate the discovery of bottlenecks, hotspots and weaknesses. The attempt here is to give a description of the tool and, at the same time, a technical software engineering analysis which will help the reader to understand our choice for the resources allocated in the infrastructure.Thanks to the work of million of volunteers, Wikipedia has reached today stability and completeness that leave no usable alternatives on the market (considering also the licence aspect). The launch of Wikidata in 2010 have completed the picture with a complementary language independent meta-model which is becoming the scientific reference for many disciplines. After providing an introduction to Wikipedia and Wikidata, we describe the knowledge base: the data organisation, the entity-fishing process to exploit it and the way it is built from nightly dumps using an offline process.We conclude the paper by presenting our solution for the service deployment: how and which the resources where allocated. The service has been in production since Q3 of 2017, and extensively used by the H2020 HIRMEOS partners during the integration with the publishing platforms. We believe we have strived to provide the best performances with the minimum amount of resources. Thanks to the Huma-num infrastructure we still have the possibility to scale up the infrastructure as needed, for example to support an increase of demand or temporary needs to process huge backlog of documents. On the long term, thanks to this sustainable environment, we are planning to keep delivering the service far beyond the end of the H2020 HIRMEOS project.

International audience; Europe has a long and rich tradition as a centre of research and teaching in the arts and humanities. However, the huge digital transformation that affects the arts and humanities research landscape all over the world requires that we set up sustainable research infrastructures, new and refined techniques, state-of-the-art methods and an expanded skills base. Responding to these challenges, the Digital Research Infrastructure for Arts and Humanities (DARIAH) was launched as a pan-European network and research infrastructure. After expansion and consolidation, which involved DARIAH’s inclusion in the ESFRI roadmap, DARIAH became a European Research Infrastructure Consortium (ERIC) in 2014. The Horizon 2020 funded project DESIR (DARIAH ERIC Sustainability Refined) sets out to strengthen the sustainability of DARIAH and help establish it as a reliable long-term partner within our communities. Sustaining existing digital expertise, tools, resources in Europe in the context of DESIR involves a goal-oriented set of measures in order to first, maintain, expand and develop DARIAH in its capacities as an organisation and technical research infrastructure; secondly, to engage its members further, as well as measure and increase their trust in DARIAH; thirdly, to expand the network in order to integrate new regions and communities. The DESIR consortium is composed of core DARIAH members, representatives from potential new DARIAH members and external technical experts. The sustainability of a research infrastructure is the capacity to remain operative, effective and competitive over its expected lifetime. In DESIR, this definition is translated into an evolving 6-dimensional process, divided into the following challenges:•Dissemination•Growth•Technology•Robustness•Trust•EducationWith our poster, we would like to show how the project helps sustaining DARIAH. Within DESIR, dissemination is the ability to communicate DARIAH’s strategy and benefits effectively within the DARIAH community and in new areas, spreading out to new communities. Through the international workshops held at Stanford University and at the Library of Congress, DARIAH has been introduced to many non-European DH scholars. These events were an important first step to foster international cooperation between US and European colleagues as well as a catalyst for ongoing collaborations in the future. A third workshop took place in Canberra at the Australian Research Data Commons in March 2019.DARIAH has currently 17 members from all over Europe. Nevertheless, efforts should be made to include as many countries as possible to bring in and scale, to a European level, even more state-of-the-art DH activities.Six candidates ready for building strong national consortia have been identified, enabling a substantial expansion of DARIAH’s country coverage. Additionally, thematic workshops are organised in each country as well as tailored training measures.DESIR widens the research infrastructure in core areas which are vital for DARIAH’s sustainability but are not yet covered by the existing set-up. As DARIAH expands across Europe, continuously enhancing and further developing the ERIC exceeds DARIAH’s internal technological capacities. Two notable results were achieved so far: firstly, the publication of a technical reference as a result of a workshop organised in October 2017 with CESSDA and CLARIN. It’s a collection of basic guidelines and references for development and maintenance of infrastructure services within DARIAH and beyond, addressing an ongoing issue for research infrastructures, namely software sustainability. Secondly, the organisation of a Code Sprint, focusing on bibliographical and citation metadata, which helped shaping DARIAH’s profile in four technology areas (visualisation, text analytic services, entity-based search and scholarly content management). Another Code sprint is expected to take place in Summer 2019.Another output is the implementation of a centralized helpdesk. This helpdesk is hosted by CLARIN-D and the solution of integration within the existing DARIAH website was the creation of a WordPress plugin. This plugin is used to connect our website with the OTRS server and allows the creation of issues easily by users unfamiliar with OTRS.Sustaining a research infrastructure involves also two important aspects: trust and education. For DARIAH, it is crucial to increase trust and confidence from its users. In DESIR we develop recommendations and strategies accordingly, targeting new cross-disciplinary communities, based on the results of a survey and interviews addressed to the scientific community, with different levels of approach - national, institutional and individual.In addition, education is a key area and the project contributes to the ongoing discussions about the role and modalities of training and education in the development, consolidation and sustainability of digital research infrastructures. We believe that investing time and efforts into training and educating users is a way of securing the social sustainability of a research infrastructure.

International audience; CENDARI (Collaborative European Digital Archive Infrastructure) is a research infrastructure project aimed at integrating digital archives and resources for research on medieval and modern European history.The project brings together information and computer scientists with historians and existing historical research infrastructures (archives, libraries, other digital projects) to improve conditions for digital historical scholarship. CENDARIhas engaged in extensive networking with the archives and libraries of Europe, especially those in Eastern Europe.CENDARI is a 4-year, European-Commission-funded project led by Trinity College Dublin, in partnership with 14 institutions across 8 countries.

International audience; The last decade has seen a rapid development of the number of NLP tools which have been made available to the community. The usability of several e-lexicography tools represents a serious obstacle for researchers with little or no background in computer science. We present in this paper our efforts to overcome this issue in the case of a machine learning system for the automatic segmentation and semantic annotation of digitised dictionaries. Our approach is based on limiting the burdens of managing the tool's setup in different execution environments and lightening the complexity of the training process. We illustrate the possibility to reach this goal through the adaptation of existing functionalities and through using out of the box software deployment technology. We also report on the community's feedback after exposing the new setup to real users of different professional backgrounds.

International audience