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Matches in Ruben’s data for { <https://dx.doi.org/10.3233/SW-200384> ?p ?o }

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SW-200384 author me.
SW-200384 author me.
SW-200384 author dorthe_arndt.
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SW-200384 creator me.
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SW-200384 creator dorthe_arndt.
SW-200384 creator me.
SW-200384 creator me.
SW-200384 about validation.
SW-200384 about proof.
SW-200384 about reasoning.
SW-200384 about Research.
SW-200384 about Semantic_Web.
SW-200384 about RDF.
SW-200384 about World_Wide_Web.
SW-200384 author me.
SW-200384 author me.
SW-200384 author dorthe_arndt.
SW-200384 author me.
SW-200384 author me.
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SW-200384 coparticipatesWith dorthe_arndt.
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SW-200384 type PublicationIssue.
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SW-200384 type CollectedDocument.
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SW-200384 type ScholarlyArticle.
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SW-200384 P50 me.
SW-200384 P50 me.
SW-200384 P50 dorthe_arndt.
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SW-200384 maker me.
SW-200384 maker me.
SW-200384 maker dorthe_arndt.
SW-200384 maker me.
SW-200384 maker me.
SW-200384 title "RDF Graph Validation Using Rule-Based Reasoning".
SW-200384 isPartOf semantic_web_journal.
SW-200384 name "RDF Graph Validation Using Rule-Based Reasoning".
SW-200384 label "RDF Graph Validation Using Rule-Based Reasoning".
SW-200384 name "RDF Graph Validation Using Rule-Based Reasoning".
SW-200384 topic validation.
SW-200384 topic proof.
SW-200384 topic reasoning.
SW-200384 topic Research.
SW-200384 topic Semantic_Web.
SW-200384 topic RDF.
SW-200384 topic World_Wide_Web.
SW-200384 subject validation.
SW-200384 subject proof.
SW-200384 subject reasoning.
SW-200384 subject Research.
SW-200384 subject Semantic_Web.
SW-200384 subject RDF.
SW-200384 subject World_Wide_Web.
SW-200384 authorList b0_b1815.
SW-200384 topic validation.
SW-200384 topic proof.
SW-200384 topic reasoning.
SW-200384 topic Research.
SW-200384 topic Semantic_Web.
SW-200384 topic RDF.
SW-200384 topic World_Wide_Web.
SW-200384 abstract "The correct functioning of Semantic Web applications requires that given RDF graphs adhere to an expected shape. This shape depends on the RDF graph and the application’s supported entailments of that graph. During validation, RDF graphs are assessed against sets of constraints, and found violations help refining the RDF graphs. However, existing validation approaches cannot always explain the root causes of violations (inhibiting refinement), and cannot fully match the entailments supported during validation with those supported by the application. These approaches cannot accurately validate RDF graphs, or combine multiple systems, deteriorating the validator’s performance. In this paper, we present an alternative validation approach using rule-based reasoning, capable of fully customizing the used inferencing steps. We compare to existing approaches, and present a formal ground and practical implementation “Validatrr”, based on N3Logic and the EYE reasoner. Our approach – supporting an equivalent number of constraint types compared to the state of the art – better explains the root cause of the violations due to the reasoner’s generated logical proof, and returns an accurate number of violations due to the customizable inferencing rule set. Performance evaluation shows that Validatrr is performant for smaller datasets, and scales linearly w.r.t. the RDF graph size. The detailed root cause explanations can guide future validation report description specifications, and the fine-grained level of configuration can be employed to support different constraint languages. This foundation allows further research into handling recursion, validating RDF graphs based on their generation description, and providing automatic refinement suggestions.".
SW-200384 datePublished "2021".
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SW-200384 pageEnd "142".