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340 Research products, page 1 of 34

  • Digital Humanities and Cultural Heritage
  • Research data
  • Other research products
  • 2017-2021
  • Open Access
  • European Commission
  • Digital Humanities and Cultural Heritage

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  • Research data . 2021 . Embargo End Date: 14 Dec 2021
    Open Access
    Authors: 
    Frontini, Francesca; Gamba, Federica; Monachini, Monica; Broeder, Daan;
    Publisher: Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
    Project: EC | SSHOC (823782)

    The SSHOC Multilingual Data Stewardship Terminology is a multilingual terminology that collects terms specific to the domain of Data Stewardship, as well as their definitions. A list of domain-specific terms was automatically extracted from a corpus pertaining to the domain of Data Stewardship and Curation, validated by domain experts, assigned a definition, and linked to other existing terminologies (Loterre Open Science Thesaurus, terms4FAIRskills, Linked Open Vocabularies, ISO terms and definitions). Each term-definition pair was then automatically translated into multiple languages (Dutch, French, German, Greek, Italian, Slovenian) by employing Deep-L. The Multilingual Data Stewardship Terminology thus consists of 210 concepts available in Dutch, French, German, Greek, Italian, Slovenian. This resource was created within the frame of the SSHOC (Social Sciences and Humanities Open Cloud) project (H2020-INFRAEOSC-2018-2-823782). It is the result of the work of Task 3.1.2 "extraction of terminology from technical documentation about standards and interoperability", as described in D3.9, carried out jointly by ILC-CNR and CLARIN ERIC.

  • Research data . 2021 . Embargo End Date: 14 Dec 2021
    Open Access
    Authors: 
    Nedoluzhko, Anna; Novák, Michal; Popel, Martin; Žabokrtský, Zdeněk; Zeman, Daniel;
    Publisher: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
    Project: EC | Bergamot (825303)

    CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 0.2 consists of 17 datasets for 11 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 13 datasets for 10 languages (1 dataset for Catalan, 2 for Czech, 2 for English, 1 for French, 2 for German, 1 for Hungarian, 1 for Lithuanian, 1 for Polish, 1 for Russian, and 1 for Spanish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource too. Version 0.2 consists of exactly the same datasets as the version 0.1. All automatically parsed datasets were re-parsed for v0.2 using UDPipe 2 with models trained on UD 2.6. Catalan-AnCora, Spanish-AnCora and English-GUM have been updated to match the their UD 2.9 versions.

  • Other research product . Other ORP type . 2021
    Open Access English
    Authors: 
    Kabwere Musa; Fahari Safari Mazerah; Mwende Janine; Nyadida Tom, O.; Odanga Lawrence; Shaila, Agha;
    Publisher: Zenodo
    Project: EC | TPAAE (872718)

    The MekaZine presents the work of a group of students from the Pwani University in Kilifi, Kenya accomplished during the 2nd DUOS Festival "Women Power" (August-September 2021) dedicated to Mekatilili wa Menza, Kenyan freedom fighter and heroine. The publication was created within the TPAAE project focused on the research in transcultural perspectives on art and art education on the basis of theoretical and practical dialogue, recognizing mutual artistic and cultural influences between Europe and East Africa since times of Great Avant-garde until contemporary globalization; at the same time valuing cultural heritage and opening it for modern transformations for the sake of community and social development.

  • Open Access
    Authors: 
    Daniela Ceccon; Gabriele Medas;
    Publisher: Zenodo
    Country: Netherlands
    Project: EC | SSHOC (823782), EC | SSHOC (823782)

    Since 2012, the WageIndicator Foundation has maintained a Collective Agreements Database, where the texts of 1600 collective agreements (CBAs) from 61 countries and in 27 languages have been uploaded, coded and annotated. This database is a unique example at global level: collective agreements are documents containing conditions of employment that result from negotiations between independent unions and employers, and their content is often surrounded by an atmosphere of secrecy. Under the SSHOC project and with the support of the CLARIN Research Infrastructure, the agreements have been manually and automatically annotated on several levels: for each agreement, the team answers a series of questions and selects the appropriate piece of text (clause) for each. One of the results of the collective agreements' annotation process is the dataset which is available here and includes all the clauses selected for each variable (WageIndicator_CBADatabase_Selected_Clauses). The full collective agreements' texts are stored in another dataset, also available here (WageIndicator_CBADatabase_Full_Texts_211019). A codebook is also included (210125-wageindicator-cba-codebook.pdf). {"references": ["Cite the full texts dataset: WageIndicator Collective Agreements Database - Full Texts Dataset . Amsterdam, WageIndicator Foundation, October 2021.", "Cite the selected clauses dataset: WageIndicator Collective Agreements Database - Selected Clauses Dataset . Amsterdam, WageIndicator Foundation, October 2021.", "Cite the codebook: Ceccon, D., Medas, G. (2021). Codebook WageIndicator Collective Agreements Database \u2013 Version 4 \u2013 January 2021. WageIndicator Foundation, Amsterdam."]}

  • Open Access English
    Authors: 
    Perles, Ángel; Zarzo, Manuel; Mercado, Ricardo; García-Diego, Fernando-Juan;
    Publisher: Zenodo
    Project: EC | CollectionCare (814624), EC | CollectionCare (814624)

    This dataset contains temperature measurements in Celsius degrees collected at the church of Saint Thomas and Saint Philip Neri in Valencia (Spain) by multiple wireless sensors. The data were collected from August 2017 to March 2019 and aligned at the same time point using linear interpolation.

  • Open Access English
    Authors: 
    Larrousse, Nicolas; Gray, Edward; Broeder, Daan; Concordia, Cesare; Brase, Jan; Papadopoulou, Athina;
    Publisher: Zenodo
    Project: EC | SSHOC (823782), EC | SSHOC (823782)

    This documentation is a supplement of D3.5 Report on citation enabled SSH catalogues and SSH citation exploitation

  • Open Access English
    Authors: 
    Gamba, Federica; Passarotti, Marco; Ruffolo, Paolo;
    Publisher: Zenodo
    Project: EC | LiLa (769994)

    This paper investigates the recent advances in parsing the Index Thomisticus Treebank, which encompasses Medieval Latin texts by Thomas Aquinas. The research focuses on two types of variables. On the one hand, it examines the impact that a larger dataset has on the results of parsing; on the other hand, performances of new parsers are analysed with respect to less recent tools. Term of comparison to determine the effective parsing advances are the results in parsing the Index Thomisticus Treebank described in a previous work. First, the best performing parser among those concerned in that study is tested on a larger dataset than the one originally used. Then, some parser combinations that were developed in the same study are evaluated as well, assessing that more training data result in more accurate performances. Finally, to examine the impact that newly available tools have on parsing results, we train, test, and evaluate two neural parsers chosen among those best performing in the CoNLL 2018 Shared Task. Our experiments reach the highest accuracy rates achieved so far in automatic syntactic parsing of the Index Thomisticus Treebank and of Latin overall.

  • Open Access English
    Authors: 
    krukowski, Artur; Vogiatzaki, Emmanouela;
    Publisher: Zenodo
    Project: EC | ARCH (820999)

    The Cultural Heritage plays an important role in defining the identity of Europe as compared to the rest of the World, influencing the feeling of attractiveness for its citizens as a place of work, living and visiting. It increases also the feeling of togetherness among European citizens. Therefore, the need for protecting and preserving European Cultural Heritage is of extreme importance for combined European cultural wealth. The European cultural heritage is enormous, with a vast and rich variety of cultural items, ranging from buildings to museum artefacts. These items consist of materials of diverse types, the condition of which deteriorates with time, mainly due to environmental conditions and human actions. This strengthens the need for the effective documentation of the cultural items, so that information about them is easily accessible to researchers and the public. The preservation of objects against the effects of time to be passed unaltered to next generations, are also matters of uttermost importance and have attracted significant focus. Factors responsible for the deterioration of the state of cultural items, in case of indoor environments, include but are not limited to, humidity, temperature, exposure to light, as well as the effects of human activities, such as the transportation of the items. These factors are eliminated by keeping the cultural items in specifically designed facilities, such as museums and galleries, where environmental conditions are controlled by following specifications established after extensive research. However, there is a lack of research concerning the effect of the environment and the means to eliminate it, in cases of uncontrolled indoor environments. Such cases include objects and artworks hosted in historical buildings and monuments of public access, where people activities are not restricted, as in museums. The increased human activity, in combination with the uncontrolled environmental conditions of such facilities affects the objects of interest in a significantly higher degree, than the controlled environment of a museum. In this respect, several monitoring and simulation technologies can be effectively used in order to assist in the documentation of cultural objects, as well as the evaluation of the effects of the environment on them and the development of procedures to handle those effects, to achieve preventive conservation. This article presents an ongoing work in the research project s ARCH, funded by the European Commission under Horizon 2020 program. It concerns means of better preservation of areas of cultural heritage from hazards and risks resulting from Climate Change. It develops tools that will help modern cities to preserve and protect their cultural heritage and historical areas from multiple negative effects of Climate Change. Tools and methodologies are designed for local authorities and practitioners, urban population, as well as national and international expert communities, aiding authorities in knowledge-aware decision making. We will focus attention in our presentation on a variety of sensors and sensing technologies for offering necessary data and beneficial information for being able to produce knowledge-aware decision support tools. Presented approaches range from satellite observations from Copernicus and respective climate and atmospheric monitoring services, through high/low altitude aerial observations to in-situ and mobile sensing at (near) ground levels using novel sensing technologies, some of which have been developed in collaboration with industry leaders such as Analog Devices (Ireland) or Turta (Turkey). Subsequently, application of acquired sensor data in a variety of tools built by other project partners shall be also presented.

  • Other research product . Other ORP type . 2021 . Embargo End Date: 10 Oct 2021
    Open Access English
    Authors: 
    Guardeño, David Arroyo; Espés, Alberto Gómez; Muñoz, Santiago Palmero; Esposti, Sara Degli;
    Publisher: Digital.CSIC
    Project: EC | TRESCA (872855)

    Amongst all types of fabricated information travelling on open social networks (OSN), scientific misinformation, or cloaked science, is particularly dangerous. Here we present the design of the TRESCA misinformation widget (Ms.W), which is both a methodology and a toolbox for investigating disinformation operations leveraging scientific communications. Ms.W follows a man-in-the-loop approach: the methodology takes into consideration ideological and psychological biases, while the toolbox integrates open source intelligence solutions for verifying the accuracy of claims and the credibility of sources. Overall, Ms.W. is a flexible investigative tool offering a REST API for advanced users, who can create and label datasets and add new functionalities to the toolbox.

  • Research data . 2021
    Open Access
    Authors: 
    Perez-Garcia, Manuel; Diaz-Ordoñez, Manuel;
    Publisher: GECEM Project / Universidad Pablo de Olavide
    Country: Spain
    Project: EC | GECEM (679371), EC | GECEM (679371)

    GECEM Project (ERC-Starting Grant), ref. 679371, under the European Union's Horizon 2020 Research and Innovation Programme, www.gecem.eu. GECEM Project (ERC-Starting Grant), ref. 679371, Horizon 2020, project hosted at UPO