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    Metadata and Semantics Research

    Metadata and Semantics Research

    Conference

    年发文量

    研究主题

    论文(635)

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    1On the Interoperability Between Archival and Library Authorities.
    Aggeliki Drakopoulou,Leonidas Papachristopoulos,Christos Papatheodorou

    The interoperability of the data models that describe authority data is an important requirement for exchanging the data of Memory Organizations in the World Wide Web. In this paper we focus on the semantic interoperability between archival and library authorities. Initially we mapped EAC-CPF to MARC21 Authority standard and then we mapped EAC-CPF to CIDOC Conceptual Reference Model, which is an ontology for the cultural heritage. The study of the models and the methodologies for the development of the proposed mappings revealed the differences of information needs each model addresses.

    2024
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    2Cross-Referencing Metadata Through an Extension of the MEDFORD Language.
    Polina Shpilker, Benjamin Stubbs, Michael Sayers,Lenore Cowen, Shaun Wallace,Alva Couch,Noah M. Daniels

    Research metadata is difficult to annotate yet critical for research replication and data re-usability. A language called MEDFORD has been previously designed to make the process of writing metadata approachable for non-software focused researchers, but we have identified several flaws that make it difficult to thoroughly and accurately describe research metadata. We propose an extension to the MEDFORD metadata language to support relationships between metadata objects, as well as to reference other MEDFORD files, such that objects can be defined in a singular file and re-used throughout multiple files.

    2024引用:1
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    3Semantic Enrichment of Metadata in the Bibliodata Network.
    Ana Carolina Novaes de Mendonça, Ana Carolina Simionato Arakaki

    Technology reflects the values of its developers, which reinforces the need for ethical and responsible development in digital solutions. Awareness of gender equality in Information Science is reflected in United Nations Resolution 62/10 and the Sustainable Development Goals (SDGs), which promote gender equality. The aim of this research is to promote advances in the representation of women and girls in the Bibliodata Network, based on the use of sources such as the Virtual International Authority File (VIAF) and Wikidata for the semantic enrichment of metadata, as well as the importance of inclusive terminology to achieve this end. Although the study focuses mainly on enriching the records of people who identify as female, it is hoped in the future that the methodology employed will be adaptable for all genders. The expected results aim to promote significant advances in the representation of women and girls in the Bibliodata Network, improve the quality and accuracy of metadata, and create more robust information networks, with an ongoing commitment to equity and inclusion. Currently, the main challenge of the research is the migration and reorganization of data within the network to align with updated standards, ensuring data preservation and preventing potential loss.

    2024
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    4Metadata-Driven Cross-Infrastructure Integration Between Solid Earth and Marine Sciences in the GEO-INQUIRE Project.
    Kety Giuliacci,Daniele Bailo,Rossana Paciello,Jan Michalek,Valerio Vinciarelli,Manuela Sbarra, Marco Salvi, Enoc Martinez

    This paper describes the integration of cross-disciplinary data from Solid Earth and Marine sciences through a metadata-driven approach within the Geo-INQUIRE project. It highlights the importance of Research Infrastructures (RIs) in managing and providing open access to scientific data, addressing challenges faced by distributed RIs in ensuring multidisciplinary data access. It also highlights the implementation of Virtual Access and Physical or TransNational Access in line with European Union regulations. Additionally, it discusses the successful implementation of a proof of concept between EPOS and EMSO RIs, showcasing the potential of cross-infrastructure metadata-driven integration for supporting comprehensive and multidisciplinary research.

    2024
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    5DATA-FW: an Ontology Network for Annotating Open Datasets.
    Antoine Dupuy, Nathalie Aussenac-Gilles,Christophe Baehr,Cassia Trojahn

    Open datasets are often exposed with insufficient metadata, making difficult to end users the task of identifying those that better fit their needs. One way to overcome this weaknesses is to guarantee compliance of data to the FAIR principles, in particular where the use of ontologies is a key aspect for proving richer metadata schemes. This paper proposes an ontology network, DATA-FW, that aims at representing rich metadata to assist in dataset usage. It exploits different features that are required to meet the user's needs, which have been divided into four distinct components: Core Metadata Component, Structure Component, Usage Component, and Quality Component. Each Component reuses existing and known vocabularies and serves a specific purpose.

    2024引用:1
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    高被引作者

    作者引用发文
    Miguel Ángel Sicilia Urbán24423
    Salvador Sánchez Alonso23121
    Elena García Barriocanal12312
    Jane Greenberg10816
    Johannes Keizer978
    Ernesto William De Luca9410
    Caterina Caracciolo915
    Armando Stellato906
    Christos Papatheodorou8113
    Emmanouel Garoufallou7315

    高产作者

    作者引用发文
    Miguel Ángel Sicilia Urbán24423
    Salvador Sánchez Alonso23121
    Jane Greenberg10816
    Emmanouel Garoufallou7315
    Fabio Sartori5113
    Christos Papatheodorou8113
    Elena García Barriocanal12312
    Michalis Sfakakis3710
    Francesca Fallucchi7210
    Ernesto William De Luca9410

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