Ruben Verborgh’s data

Matches in Ruben’s data for { <https://dx.doi.org/10.1145/2814864.2814873> ?p ?o }

• 2814864.2814873 author me.
• 2814864.2814873 author rik_van_de_walle.
• 2814864.2814873 author erik_mannens.
• 2814864.2814873 author miel_vander_sande.
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• 2814864.2814873 about CSV.
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• 2814864.2814873 maker erik_mannens.
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• 2814864.2814873 maker me.
• 2814864.2814873 title "Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data Access and Retrieval".
• 2814864.2814873 isPartOf proceedings_of_the_11th_international_conference_on_semantic_systems.
• 2814864.2814873 name "Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data Access and Retrieval".
• 2814864.2814873 label "Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data Access and Retrieval".
• 2814864.2814873 name "Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data Access and Retrieval".
• 2814864.2814873 topic CSV.
• 2814864.2814873 topic XML.
• 2814864.2814873 topic RML.
• 2814864.2814873 topic Web_API.
• 2814864.2814873 topic RDF.
• 2814864.2814873 topic JSON.
• 2814864.2814873 topic World_Wide_Web.
• 2814864.2814873 subject CSV.
• 2814864.2814873 subject XML.
• 2814864.2814873 subject RML.
• 2814864.2814873 subject Web_API.
• 2814864.2814873 subject RDF.
• 2814864.2814873 subject JSON.
• 2814864.2814873 subject World_Wide_Web.
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• 2814864.2814873 topic CSV.
• 2814864.2814873 topic XML.
• 2814864.2814873 topic RML.
• 2814864.2814873 topic Web_API.
• 2814864.2814873 topic RDF.
• 2814864.2814873 topic JSON.
• 2814864.2814873 topic World_Wide_Web.
• 2814864.2814873 abstract "The RDF data model allows the description of domain-level knowledge that is understandable by both humans and machines. RDF data can be derived from different source formats and diverse access points, ranging from databases or files in CSV format to data retrieved from Web APIs in JSON, Web Services in XML or any other speciality formats. To this end, vocabularies such as RML were introduced to uniformly define how data in multiple heterogeneous sources is mapped to the RDF data model, independently of their original format. This approach results in mapping definitions that are machine-processable and interoperable. However, the way in which this data is accessed and retrieved still remains hard-coded, as corresponding descriptions are often not available or not taken into account. In this paper, we introduce an approach that takes advantage of widely-accepted vocabularies, originally used to advertise services or datasets, such as Hydra or DCAT, to define how to access Web-based or other data sources. Consequently, the generation of RDF representations is facilitated, as the description of the interaction models with the original data remains independent, interoperable and granular.".
• 2814864.2814873 datePublished "2015".
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