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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.

  • Digital Humanities and Cultural Heritage
  • 2018-2022
  • Research software
  • European Commission

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Joseph Padfield;

    SPARQL Endpoint query and data presentation examples for the SSHOC Heritage Science Datasets This code is used to create the National Gallery SSHOC Data Site, which presents data formatted as part of a task entitled '''Issues in providing Open Data in Heritage Science''' (T5.6) within the SSHOC Horizon-2020 project. This work, led by the National Gallery, has explored increasing the accessibility and interoperability of existing Heritage Science data sets and making them more FAIR. A live version of this software can be found at: https://rdf.ng-london.org.uk/sshoc

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
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    ZENODO
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    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • Authors: Joseph Padfield;

    This is an interactive live modelling system which can automatically convert simple tab separated triples or JSON-LD into graphical models using the mermaid library. General updates and improvements have been carried out, with the addition of the Mermaid SubGraph functionality to aid the organisation of more complex models. This version includes several small improvements related to the work carried out in the SSHOC project, particularly in relation to ensuring that the results of SPARQL queries carried out via the SSHOC National Gallery Data presentation system can be automatically displayed as graphical relational models. Instructions: Several worked examples, including some simple instructions relating to how this system works are included in the interactive web site: dynamic modelling, with all of the related code presented in GitHub.

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      ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Delaney, Orla; Padfield, Joseph;

    In 2018 the IPERION-CH Grounds Database was presented to examine how the data produced through the scientific examination of historic painting preparation or grounds samples, from multiple institutions could be combined in a flexible digital form. Exploring the presentation of interrelated high resolution images, text, complex metadata and procedural documentation. The original main user interface is live, though password protected at this time. The SSHOC work aimed to make this data more FAIR so in addition to mapping it to a standard ontology, to increase interoperability, it has also been made available in the form of open linkable data combined with a SPARQL end-point. A draft version of this live data presentation can been found Here. A live version of the mapped data created with this software can be found at: https://rdf.ng-london.org.uk/sshoc

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
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    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Software . 2022
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      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Orla Delaney; Joseph Padfield;

    In 2007 the Raphael Research Resource project began to examine how complex conservation, scientific and art historical research could be combined in a flexible digital form. Exploring the presentation of interrelated high resolution images and text, along with how the data could be stored in relation to an event driven ontology in the form of RDF triples. The original main user interface is still live and the data stored within the system is presented here in the form of open linkable data combined with a SPARQL end-point. An open version of this live data presentation, complete with a range of example queries can been found Here. A live version of the mapped data created with this software can be found at: https://rdf.ng-london.org.uk/sshoc

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
    License: CC BY NC SA
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Cirillo, Roberto;

    The pipeline code (written in groovy) models the entire deploy process of one or more gCube Services. The pipeline identifies the kind of component and invoke an ansible script in charge of deploy the component on the target VM, realizing in this way the "ContinuousDeployment". The pipeline can be started in three differnt ways: manually started, triggered by a JenkinsJob or triggered by a gCube Release Job. In this case, the pipeline accept a YAML input file that contains a list of jenkins job that will be deployed by the gCubeDeployer pipeline sequentially. The definition of the gCubeDeployer pipeline is mantained in this Git repository: https://code-repo.d4science.org/gCubeCI/gCubeBuilder

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Alessio Palmisano; Andrew Bevan; Dan Lawrence; Stephen Shennan;

    The archive NERD provides a collation of 11,081 radiocarbon dates from 1027 archaeological sites in the Near East from the Late Pleistocene until the Late Holocene (15 - 1.5 cal. kyr BP). These dates have been collected from existing online digital archives, and electronic and print original publications. This is an ongoing dataset that will be updated step by step with new published radiocarbon dates. A detailed description of the present dataset is available via the following data paper: Palmisano, A., Bevan, A., Lawrence, D., and Shennan, S., 2022. The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500 cal. yr. BP. Journal of Open Archaeology Data, 10(2), 1-9. List of versions: 5.0 25 March 2022 — 54 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 4.0 8 December 2021 — 380 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 3.0 7 April 2021 — 10 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 2.0. 7 April 2021 — 31 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 1.0 6 April 2021 — First public release of the dataset on Zenodo

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Variš, Dušan;

    En-De translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). The models were trained using the MCSQ social surveys dataset (available at https://repo.clarino.uib.no/xmlui/bitstream/handle/11509/142/mcsq_v3.zip). Their main use should be in-domain translation of social surveys. Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on MCSQ test set (BLEU): en->de: 67.5 (train: genuine in-domain MCSQ data only) de->en: 75.0 (train: additional in-domain backtranslated MCSQ data) (Evaluated using multeval: https://github.com/jhclark/multeval)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LINDAT/CLARIN reposi...arrow_drop_down
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    LINDAT/CLARIN repository
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      LINDAT/CLARIN repository
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Variš, Dušan;

    En-Ru translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). The models were trained using the MCSQ social surveys dataset (available at https://repo.clarino.uib.no/xmlui/bitstream/handle/11509/142/mcsq_v3.zip). Their main use should be in-domain translation of social surveys. Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on MCSQ test set (BLEU): en->ru: 64.3 (train: genuine in-domain MCSQ data) ru->en: 74.7 (train: additional backtranslated in-domain MCSQ data) (Evaluated using multeval: https://github.com/jhclark/multeval)

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    Authors: GAEL DE CHALENDAR; Bouachera, Yannis; Laleye, Fréjus; Mesnard, Olivier;

    DECODER SP tool This is the Semantic Parsing (SP) tool for the Decoder project (WP2) It is a Docker composition of Flask service and NN based translation services. To install it, you need to follow these steps: Call build_docker.sh to build the Docker container. Start the Docker container with run_docker.sh . To test the service, you can use test_semantic_parsing_jml_pkm.sh, test_semantic_parsing_jml.sh, test_semantic_parsing_pkm.sh and test_semantic_parsing.sh. SP API The SP tool, when interacting with the pkm, takes as parameters the information necessary to find comments in the pkm. Its return value is only a pair of a string and a code indicating the success of the operation or explaining its failure. The actual result is that the targeted comments are completed with their equivalent in the target language. The input parameters are used to send the following query to the pkm: code/{source_language}/comments/{project_id}/{file}. Input: project_id: pkm project to query source_language: the programming language of the file (java/c/cpp) target_language: the target programming or constraints language (jml, acsl, acsl++, ast, java, c, cpp) file: the file whose comments will be parsed to code. This Output: status: boolean indicating the success or failure of the call message: "Success" if status is true and an error message otherwise Side effect: If successful, the targeted comments are completed with their translation in the target language.

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    Authors: Sallicati, Francesca; Lete, Cristian Robledo; Meana, Javier Gutiérrez;

    This repository consist in the release of the code to perform the task of code summarization developed for the DECODER project. This tool can be used to automatically generate source code comments for single or entire collection of methods belonging to the programming languages involved in DECODER, namely Java, C and C++.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Joseph Padfield;

    SPARQL Endpoint query and data presentation examples for the SSHOC Heritage Science Datasets This code is used to create the National Gallery SSHOC Data Site, which presents data formatted as part of a task entitled '''Issues in providing Open Data in Heritage Science''' (T5.6) within the SSHOC Horizon-2020 project. This work, led by the National Gallery, has explored increasing the accessibility and interoperability of existing Heritage Science data sets and making them more FAIR. A live version of this software can be found at: https://rdf.ng-london.org.uk/sshoc

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  • Authors: Joseph Padfield;

    This is an interactive live modelling system which can automatically convert simple tab separated triples or JSON-LD into graphical models using the mermaid library. General updates and improvements have been carried out, with the addition of the Mermaid SubGraph functionality to aid the organisation of more complex models. This version includes several small improvements related to the work carried out in the SSHOC project, particularly in relation to ensuring that the results of SPARQL queries carried out via the SSHOC National Gallery Data presentation system can be automatically displayed as graphical relational models. Instructions: Several worked examples, including some simple instructions relating to how this system works are included in the interactive web site: dynamic modelling, with all of the related code presented in GitHub.

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    Authors: Delaney, Orla; Padfield, Joseph;

    In 2018 the IPERION-CH Grounds Database was presented to examine how the data produced through the scientific examination of historic painting preparation or grounds samples, from multiple institutions could be combined in a flexible digital form. Exploring the presentation of interrelated high resolution images, text, complex metadata and procedural documentation. The original main user interface is live, though password protected at this time. The SSHOC work aimed to make this data more FAIR so in addition to mapping it to a standard ontology, to increase interoperability, it has also been made available in the form of open linkable data combined with a SPARQL end-point. A draft version of this live data presentation can been found Here. A live version of the mapped data created with this software can be found at: https://rdf.ng-london.org.uk/sshoc

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Orla Delaney; Joseph Padfield;

    In 2007 the Raphael Research Resource project began to examine how complex conservation, scientific and art historical research could be combined in a flexible digital form. Exploring the presentation of interrelated high resolution images and text, along with how the data could be stored in relation to an event driven ontology in the form of RDF triples. The original main user interface is still live and the data stored within the system is presented here in the form of open linkable data combined with a SPARQL end-point. An open version of this live data presentation, complete with a range of example queries can been found Here. A live version of the mapped data created with this software can be found at: https://rdf.ng-london.org.uk/sshoc

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Cirillo, Roberto;

    The pipeline code (written in groovy) models the entire deploy process of one or more gCube Services. The pipeline identifies the kind of component and invoke an ansible script in charge of deploy the component on the target VM, realizing in this way the "ContinuousDeployment". The pipeline can be started in three differnt ways: manually started, triggered by a JenkinsJob or triggered by a gCube Release Job. In this case, the pipeline accept a YAML input file that contains a list of jenkins job that will be deployed by the gCubeDeployer pipeline sequentially. The definition of the gCubeDeployer pipeline is mantained in this Git repository: https://code-repo.d4science.org/gCubeCI/gCubeBuilder

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    Authors: Alessio Palmisano; Andrew Bevan; Dan Lawrence; Stephen Shennan;

    The archive NERD provides a collation of 11,081 radiocarbon dates from 1027 archaeological sites in the Near East from the Late Pleistocene until the Late Holocene (15 - 1.5 cal. kyr BP). These dates have been collected from existing online digital archives, and electronic and print original publications. This is an ongoing dataset that will be updated step by step with new published radiocarbon dates. A detailed description of the present dataset is available via the following data paper: Palmisano, A., Bevan, A., Lawrence, D., and Shennan, S., 2022. The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500 cal. yr. BP. Journal of Open Archaeology Data, 10(2), 1-9. List of versions: 5.0 25 March 2022 — 54 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 4.0 8 December 2021 — 380 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 3.0 7 April 2021 — 10 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 2.0. 7 April 2021 — 31 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). 1.0 6 April 2021 — First public release of the dataset on Zenodo

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    ZENODO
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      ZENODO
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    Authors: Variš, Dušan;

    En-De translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). The models were trained using the MCSQ social surveys dataset (available at https://repo.clarino.uib.no/xmlui/bitstream/handle/11509/142/mcsq_v3.zip). Their main use should be in-domain translation of social surveys. Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on MCSQ test set (BLEU): en->de: 67.5 (train: genuine in-domain MCSQ data only) de->en: 75.0 (train: additional in-domain backtranslated MCSQ data) (Evaluated using multeval: https://github.com/jhclark/multeval)

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    LINDAT/CLARIN repository
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      LINDAT/CLARIN repository
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    Authors: Variš, Dušan;

    En-Ru translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). The models were trained using the MCSQ social surveys dataset (available at https://repo.clarino.uib.no/xmlui/bitstream/handle/11509/142/mcsq_v3.zip). Their main use should be in-domain translation of social surveys. Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on MCSQ test set (BLEU): en->ru: 64.3 (train: genuine in-domain MCSQ data) ru->en: 74.7 (train: additional backtranslated in-domain MCSQ data) (Evaluated using multeval: https://github.com/jhclark/multeval)

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    LINDAT/CLARIN repository
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      LINDAT/CLARIN repository
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    Authors: GAEL DE CHALENDAR; Bouachera, Yannis; Laleye, Fréjus; Mesnard, Olivier;

    DECODER SP tool This is the Semantic Parsing (SP) tool for the Decoder project (WP2) It is a Docker composition of Flask service and NN based translation services. To install it, you need to follow these steps: Call build_docker.sh to build the Docker container. Start the Docker container with run_docker.sh . To test the service, you can use test_semantic_parsing_jml_pkm.sh, test_semantic_parsing_jml.sh, test_semantic_parsing_pkm.sh and test_semantic_parsing.sh. SP API The SP tool, when interacting with the pkm, takes as parameters the information necessary to find comments in the pkm. Its return value is only a pair of a string and a code indicating the success of the operation or explaining its failure. The actual result is that the targeted comments are completed with their equivalent in the target language. The input parameters are used to send the following query to the pkm: code/{source_language}/comments/{project_id}/{file}. Input: project_id: pkm project to query source_language: the programming language of the file (java/c/cpp) target_language: the target programming or constraints language (jml, acsl, acsl++, ast, java, c, cpp) file: the file whose comments will be parsed to code. This Output: status: boolean indicating the success or failure of the call message: "Success" if status is true and an error message otherwise Side effect: If successful, the targeted comments are completed with their translation in the target language.

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    Authors: Sallicati, Francesca; Lete, Cristian Robledo; Meana, Javier Gutiérrez;

    This repository consist in the release of the code to perform the task of code summarization developed for the DECODER project. This tool can be used to automatically generate source code comments for single or entire collection of methods belonging to the programming languages involved in DECODER, namely Java, C and C++.

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