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22 Research products, page 1 of 3

  • DARIAH EU
  • Publications
  • Research data
  • 2018-2022
  • Open Access
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  • Publication . Article . Preprint . 2020
    Open Access English
    Authors: 
    Del Gratta, Riccardo;

    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

  • Publication . Other literature type . Preprint . Part of book or chapter of book . Conference object . 2019
    Open Access English
    Authors: 
    Miriam Baglioni; Alessia Bardi; Argiro Kokogiannaki; Paolo Manghi; Katerina Iatropoulou; Pedro Príncipe; André Vieira; Lars Holm Nielsen; Harry Dimitropoulos; Ioannis Foufoulas; +7 more
    Publisher: Springer International Publishing, CH-6330 Cham (ZG), CHE
    Countries: Italy, Portugal, Portugal
    Project: WT , EC | OpenAIRE-Advance (777541), EC | OpenAIRE-Connect (731011), WT , EC | OpenAIRE-Advance (777541), EC | OpenAIRE-Connect (731011)

    Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use “digital laboratories” (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure. This work is partly funded by the OpenAIRE-Advance H2020 project (grant number: 777541; call: H2020-EINFRA-2017) and the OpenAIREConnect H2020 project (grant number: 731011; call: H2020-EINFRA-2016-1). Moreover, we would like to thank our colleagues Michele Manunta, Francesco Casu, and Claudio De Luca (Institute for the Electromagnetic Sensing of the Environment, CNR, Italy) for their work on the EPOS infrastructure RCD; and Stephane Pesant (University of Bremen, Germany) his work on the European Marine Science RCD. First Online 30 August 2019

  • Publication . Article . Preprint . 2019 . Embargo End Date: 01 Jan 2019
    Open Access
    Authors: 
    Kolar, Jana; Cugmas, Marjan; Ferligoj, Anuška;
    Publisher: arXiv
    Project: EC | ACCELERATE (731112)

    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. Comment: 15 pages, 8 tables, 3 figures

  • Publication . Article . Preprint . 2019 . Embargo End Date: 01 Jan 2019
    Open Access
    Authors: 
    Rizza, Ettore; Chardonnens, Anne; Van Hooland, Seth;
    Publisher: arXiv
    Countries: France, Belgium

    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. Comment: 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"

  • Publication . Article . Conference object . Preprint . 2019
    Open Access English
    Authors: 
    Lilia Simeonova; Kiril Simov; Petya Osenova; Preslav Nakov;

    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

  • Open Access English
    Authors: 
    Zamani, Maryam; Tejedor, Alejandro; Vogl, Malte; Krautli, Florian; Valleriani, Matteo; Kantz, Holger;

    We investigated the evolution and transformation of scientific knowledge in the early modern period, analyzing more than 350 different editions of textbooks used for teaching astronomy in European universities from the late fifteenth century to mid-seventeenth century. These historical sources constitute the Sphaera Corpus. By examining different semantic relations among individual parts of each edition on record, we built a multiplex network consisting of six layers, as well as the aggregated network built from the superposition of all the layers. The network analysis reveals the emergence of five different communities. The contribution of each layer in shaping the communities and the properties of each community are studied. The most influential books in the corpus are found by calculating the average age of all the out-going and in-coming links for each book. A small group of editions is identified as a transmitter of knowledge as they bridge past knowledge to the future through a long temporal interval. Our analysis, moreover, identifies the most disruptive books. These books introduce new knowledge that is then adopted by almost all the books published afterwards until the end of the whole period of study. The historical research on the content of the identified books, as an empirical test, finally corroborates the results of all our analyses. 19 pages, 9 figures

  • Open Access
    Authors: 
    Kittelmann, Jana; Wernhard, Christoph;
    Publisher: arXiv

    KBSET is an environment that provides support for scholarly editing in two flavors: First, as a practical tool KBSET/Letters that accompanies the development of editions of correspondences (in particular from the 18th and 19th century), completely from source documents to PDF and HTML presentations. Second, as a prototypical tool KBSET/NER for experimentally investigating novel forms of working on editions that are centered around automated named entity recognition. KBSET can process declarative application-specific markup that is expressed in LaTeX notation and incorporate large external fact bases that are typically provided in RDF. KBSET includes specially developed LaTeX styles and a core system that is written in SWI-Prolog, which is used there in many roles, utilizing that it realizes the potential of Prolog as a unifying language. Comment: To appear in DECLARE 2019 Revised Selected Papers

  • Publication . Preprint . Conference object . Contribution for newspaper or weekly magazine . Article . 2020
    Open Access English
    Authors: 
    Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie; Piperidis, Stelios; Bontcheva, Kalina; Hajic, Jan; Choukri, Khalid; Vasiljevs, Andrejs; Backfried, Gerhard; Prinz, Christoph; +37 more
    Countries: France, Denmark, France
    Project: SFI | ADAPT: Centre for Digital... (13/RC/2106), EC | BDVe (732630), EC | ELG (825627), EC | AI4EU (825619), FCT | PINFRA/22117/2016 (PINFRA/22117/2016), EC | X5gon (761758), SFI | ADAPT: Centre for Digital... (13/RC/2106), EC | BDVe (732630), EC | ELG (825627), EC | AI4EU (825619),...

    Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cross-lingual and cross-cultural communication are still omnipresent. Language Technologies (LTs) are a powerful means to break down these barriers. While the last decade has seen various initiatives that created a multitude of approaches and technologies tailored to Europe's specific needs, there is still an immense level of fragmentation. At the same time, AI has become an increasingly important concept in the European Information and Communication Technology area. For a few years now, AI, including many opportunities, synergies but also misconceptions, has been overshadowing every other topic. We present an overview of the European LT landscape, describing funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. We present a brief overview of the main LT-related activities on the EU level in the last ten years and develop strategic guidance with regard to four key dimensions. Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear

  • Publication . Preprint . 2019
    Open Access English
    Authors: 
    Romary, Laurent; Khemakhem, Mohamed; Khan, Fahad; Bowers, Jack; Calzolari, Nicoletta; George, Monte; Pet, Mandy; Bański, Piotr;

    Lexical Markup Framework (LMF) or ISO 24613 [1] is a de jure standard that provides a framework for modelling and encoding lexical information in retrodigitised print dictionaries and NLP lexical databases. An in-depth review is currently underway within the standardisation subcommittee , ISO-TC37/SC4/WG4, to find a more modular, flexible and durable follow up to the original LMF standard published in 2008. In this paper we will present some of the major improvements which have so far been implemented in the new version of LMF. Comment: AsiaLex 2019: Past, Present and Future, Jun 2019, Istanbul, Turkey

  • Publication . Article . Preprint . 2018
    Open Access English
    Authors: 
    Ted Habermann;
    Publisher: Multidisciplinary Digital Publishing Institute

    The historic view of metadata as “data about data” is expanding to include data about other items that must be created, used, and understood throughout the data and project life cycles. In this context, metadata might better be defined as the structured and standard part of documentation, and the metadata life cycle can be described as the metadata content that is required for documentation in each phase of the project and data life cycles. This incremental approach to metadata creation is similar to the spiral model used in software development. Each phase also has distinct users and specific questions to which they need answers. In many cases, the metadata life cycle involves hierarchies where latter phases have increased numbers of items. The relationships between metadata in different phases can be captured through structure in the metadata standard, or through conventions for identifiers. Metadata creation and management can be streamlined and simplified by re-using metadata across many records. Many of these ideas have been developed to various degrees in several Geoscience disciplines and are being used in metadata for documenting the integrated life cycle of environmental research in the Arctic, including projects, collection sites, and datasets.