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- publication author me.
- publication author me.
- publication author me.
- publication creator me.
- publication creator me.
- publication creator me.
- publication about visualization.
- publication about Research.
- publication about RDF.
- publication author me.
- publication author me.
- publication author me.
- publication coparticipatesWith me.
- publication coparticipatesWith me.
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- publication type PublicationVolume.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
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- publication P50 me.
- publication P50 me.
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- publication title "Statistics about Data Shape Use in RDF Data".
- publication isPartOf proceedings_of_the_19th_international_semantic_web_conference_posters_demos_and_industry_tracks.
- publication name "Statistics about Data Shape Use in RDF Data".
- publication label "Statistics about Data Shape Use in RDF Data".
- publication name "Statistics about Data Shape Use in RDF Data".
- publication topic visualization.
- publication topic Research.
- publication topic RDF.
- publication subject visualization.
- publication subject Research.
- publication subject RDF.
- publication authorList b0_b1822.
- publication topic visualization.
- publication topic Research.
- publication topic RDF.
- publication abstract "Statistics about constraints use in RDF data bring insights in common practices to address data quality. However, we only have such statistics for OWL axioms, not for constraint languages, such as SHACL or ShEx, that have recently become more popular. We extended previous work on axiom statistics to provide evidence of constraint type use. In this poster, we present preliminary statistics about the use of SHACL core constraints in data shapes found on GitHub. We found that class, datatype and cardinality constraints are predominantly used, similar to the dominant use of domain and range in ontologies. Less-used constraint types need further attention in visualization or modeling tools to address data quality issues. More constraints of SHACL but also ShEx need to be included to deepen the understanding. Data quality researchers and tool designers can make informed decisions based on the provided statistics.".
- publication datePublished "2020".
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- publication number "330".
- publication number "335".
- publication number "2721".
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