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@prefix foaf: <http://xmlns.com/foaf/0.1/> .
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@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix schema: <http://schema.org/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix vivo: <http://vivoweb.org/ontology/core#> .
@prefix bibframe: <http://id.loc.gov/ontologies/bibframe/> .
@prefix bflc: <http://id.loc.gov/ontologies/bflc/> .


<https://pod.rubendedecker.be/scholar/publications/context_associations_application_independent_annotation_method> a schema:ScholarlyArticle ;
    rdfs:comment "Presented at the QKG workshop at the Extended Semantic Web Conference 2026.";
    schema:name "Context Associations: an Application-Independent Annotation Method for RDF Knowledge Graphs" ;
    schema:author <https://pod.rubendedecker.be/profile/card#me>, <https://ben.de-meester.org/#me>,  <https://pietercolpaert.be/#me> ;
    schema:abstract 
"""
Data integration typically relies on more than raw triples: provenance, quality indicators, usage policies,
and signatures are often required as in-band contextual statements. In the Resource Description
Framework (RDF), such annotations are expressed through a range of annotation models and methodspecific practices. In this space, mature systems such as DQV, nanopublications, RO-Crates, and
W3C Verifiable Credentials differ both in how they model annotations and how the annotation target
is defined, with contextual information encoded in the annotation system rather than at the data
level. This heterogeneity limits the uniform storage, exchange, discovery, and querying of contextual
information associated with target statements. We present Context Associations, an approach for
uniformly modeling and querying associations between contextual information and statements in an
RDF knowledge graph. Our approach enables a lossless and reversible conversion of existing annotations
into a single association model based on blank-node graphs. We evaluate Context Associations across
the aforementioned annotation systems and show that contextual information can be uniformly
associated with target statements and queried across applications. We further show that the original
formats can be fully reconstructed when method-specific modeling assumptions are made explicit. By
providing a uniform representation of contextual information associated with RDF statements, Context
Associations supports the discovery, exchange, storage, and processing of heterogeneous annotations.
""";
    schema:about <http://dbpedia.org/resource/Semantic_Web> ;
    schema:datePublished "2026-05-17"^^xsd:date ;
    schema:contributor knows: ;
    bibframe:contribution [
        a bibframe:Contribution, bflc:PrimaryContribution;
        bibframe:agent <https://pod.rubendedecker.be/profile/card#me>;
        vivo:rank 0
    ], [
        a bibframe:Contribution;
        bibframe:agent <https://ben.de-meester.org/#me>;
        vivo:rank 1
    ], [
        a bibframe:Contribution;
        bibframe:agent <https://pietercolpaert.be/#me> ;
        vivo:rank 2
    ].