Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/dimou_eswc_2014/#publication> ?p ?o }
- publication author me.
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- publication about R_RML.
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- publication about rules.
- publication about Linked_Data.
- publication about Semantic_Web.
- publication about RDF.
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- publication author me.
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- publication title "Extraction and Semantic Annotation of Workshop Proceedings in HTML using RML".
- publication isPartOf semantic_web_evaluation_challenge.
- publication name "Extraction and Semantic Annotation of Workshop Proceedings in HTML using RML".
- publication label "Extraction and Semantic Annotation of Workshop Proceedings in HTML using RML".
- publication name "Extraction and Semantic Annotation of Workshop Proceedings in HTML using RML".
- publication topic R_RML.
- publication topic RML.
- publication topic rules.
- publication topic Linked_Data.
- publication topic Semantic_Web.
- publication topic RDF.
- publication topic World_Wide_Web.
- publication subject R_RML.
- publication subject RML.
- publication subject rules.
- publication subject Linked_Data.
- publication subject Semantic_Web.
- publication subject RDF.
- publication subject World_Wide_Web.
- publication authorList b0_b2983.
- publication topic R_RML.
- publication topic RML.
- publication topic rules.
- publication topic Linked_Data.
- publication topic Semantic_Web.
- publication topic RDF.
- publication topic World_Wide_Web.
- publication abstract "Despite the significant number of existing tools, incorporating data into the Linked Open Data cloud remains complicated; hence discouraging data owners to publish their data as Linked Data. Unlocking the semantics of published data, even if they are not provided by the data owners, can contribute to surpass the barriers posed by the low availability of Linked Data and come closer to the realisation of the envisaged Semantic Web. RML, a generic mapping language based on an extension over R2RML, the W3C standard for mapping relational databases into RDF, offers a uniform way of defining the mapping rules for data in heterogeneous formats. In this paper, we present how we adjusted our prototype RML Processor, taking advantage of RML’s scalability, to extract and map data of workshop proceedings published in HTML to the RDF data model for the Semantic Publishing Challenge needs.".
- publication datePublished "2014".
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- publication number "475".
- publication number "114".
- publication number "119".
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