Annotation algebras for RDFS

Provenance and annotation are intimately connected. On the one hand provenance can be regarded as a form of annotation, on the other hand, in order to understand how to convey annotations from source data to derived data, we need an account of how the data was derived - its provenance. Following a s...

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Main Authors: Buneman, P, Kostylev, E
Format: Conference item
Published: CEUR Workshop Proceedings 2010
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author Buneman, P
Kostylev, E
author_facet Buneman, P
Kostylev, E
author_sort Buneman, P
collection OXFORD
description Provenance and annotation are intimately connected. On the one hand provenance can be regarded as a form of annotation, on the other hand, in order to understand how to convey annotations from source data to derived data, we need an account of how the data was derived - its provenance. Following a successful line of database research in which elements of a database are annotated with algebraic terms that describe the provenance of those elements, we develop an algebra of annotations for RDFS that differs from that developed for relational databases. We show how such an annotation algebra can be used for computing annotations on inferred triples that provide information on belief, trust and temporal aspects of data as well as providing a framework for default reasoning.
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spelling oxford-uuid:df5c075b-112b-46ef-a17b-31d03e3782ad2022-03-27T09:38:52ZAnnotation algebras for RDFSConference itemhttp://purl.org/coar/resource_type/c_1843uuid:df5c075b-112b-46ef-a17b-31d03e3782adSymplectic Elements at OxfordCEUR Workshop Proceedings2010Buneman, PKostylev, EProvenance and annotation are intimately connected. On the one hand provenance can be regarded as a form of annotation, on the other hand, in order to understand how to convey annotations from source data to derived data, we need an account of how the data was derived - its provenance. Following a successful line of database research in which elements of a database are annotated with algebraic terms that describe the provenance of those elements, we develop an algebra of annotations for RDFS that differs from that developed for relational databases. We show how such an annotation algebra can be used for computing annotations on inferred triples that provide information on belief, trust and temporal aspects of data as well as providing a framework for default reasoning.
spellingShingle Buneman, P
Kostylev, E
Annotation algebras for RDFS
title Annotation algebras for RDFS
title_full Annotation algebras for RDFS
title_fullStr Annotation algebras for RDFS
title_full_unstemmed Annotation algebras for RDFS
title_short Annotation algebras for RDFS
title_sort annotation algebras for rdfs
work_keys_str_mv AT bunemanp annotationalgebrasforrdfs
AT kostyleve annotationalgebrasforrdfs