Matches in Ruben’s data for { ?s ?p ?o }
- publication maker me.
- publication title "A Vocabulary-Independent Generation Framework for DBpedia and beyond".
- publication isPartOf proceedings_of_the_16th_international_semantic_web_conference_posters_and_demos.
- publication name "A Vocabulary-Independent Generation Framework for DBpedia and beyond".
- publication label "A Vocabulary-Independent Generation Framework for DBpedia and beyond".
- publication name "A Vocabulary-Independent Generation Framework for DBpedia and beyond".
- publication topic RML.
- publication topic Linked_Data_generation.
- publication topic Annotation.
- publication topic DBpedia.
- publication topic rules.
- publication topic Linked_Data.
- publication subject RML.
- publication subject Linked_Data_generation.
- publication subject Annotation.
- publication subject DBpedia.
- publication subject rules.
- publication subject Linked_Data.
- publication authorList b0_b2336.
- publication topic RML.
- publication topic Linked_Data_generation.
- publication topic Annotation.
- publication topic DBpedia.
- publication topic rules.
- publication topic Linked_Data.
- publication abstract "The DBpedia Extraction Framework, the generation framework behind one of the Linked Open Data cloud’s central hubs, has limitations which lead to quality issues with the DBpedia dataset. Therefore, we provide a new take on its Extraction Framework that allows for a sustainable and general-purpose Linked Data generation framework by adapting a semantic-driven approach. The proposed approach decouples, in a declarative manner, the extraction, transformation, and mapping rules execution. This way, among others, interchanging different schema annotations is supported, instead of being coupled to a certain ontology as it is now, because the DBpedia Extraction Framework allows only generating a certain dataset with a single semantic representation. In this paper, we shed more light to the added value that this aspect brings. We provide an extracted DBpedia dataset using a different vocabulary, and give users the opportunity to generate a new DBpedia dataset using a custom combination of vocabularies.".
- publication datePublished "2017".
- publication mainEntityOfPage demeester_iswc_demo_2017.
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- publication author me.
- publication author erik_mannens.
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- publication about publication.
- publication about Computer_programming.
- publication about Linked_Data.
- publication about Content_negotiation.
- publication author me.
- publication author erik_mannens.
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- publication coparticipatesWith erik_mannens.
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- publication type PublicationVolume.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Q386724.
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- publication type Document.
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- publication type Document.
- publication P50 me.
- publication P50 erik_mannens.
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- publication P50 me.
- publication maker me.
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- publication maker me.
- publication title "Discovering and Using Functions via Content Negotiation".
- publication isPartOf proceedings_of_the_15th_international_semantic_web_conference_posters_and_demos.
- publication name "Discovering and Using Functions via Content Negotiation".
- publication label "Discovering and Using Functions via Content Negotiation".
- publication name "Discovering and Using Functions via Content Negotiation".
- publication topic publication.
- publication topic Computer_programming.
- publication topic Linked_Data.
- publication topic Content_negotiation.
- publication subject publication.
- publication subject Computer_programming.
- publication subject Linked_Data.
- publication subject Content_negotiation.
- publication authorList b0_b2614.
- publication topic publication.
- publication topic Computer_programming.
- publication topic Linked_Data.
- publication topic Content_negotiation.
- publication abstract "Data has been made reusable and machine-interpretable by publishing it as Linked Data. However, Linked Data automatic processing is not fully achieved yet, as manual effort is still needed to integrate existing tools and libraries within a certain technology stack. To enable automatic processing, we propose exposing functions and methods as Linked Data, publishing it in different programming languages, using content negotiation to cater to different technology stacks, and making use of common, technology-independent identifiers to make them discoverable. As such, we can enable automatic processing of Linked Data across formats and technology stacks. By using discovery endpoints, similar to those used to discover vocabularies and ontologies, the publication of these functions can remain decentralized.".
- publication datePublished "2016".
- publication mainEntityOfPage demeester_iswc_poster_2016.
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- publication number "1690".
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- publication author me.
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