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Preprint . 2016
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The Multiset Semantics of SPARQL Patterns

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint 01 Jan 2016Embargo end date: 01 Jan 2016 English Publisher:Springer International Publishing
Authors: Claudio Gutierrez; Renzo Angles;

doi: 10.1007/978-3-319-46523-4_2 , 10.48550/arxiv.1610.04315

arXiv: http://arxiv.org/abs/1610.04315

The Multiset Semantics of SPARQL Patterns

Abstract

The paper determines the algebraic and logic structure of the multiset semantics of the core patterns of SPARQL. We prove that the fragment formed by AND, UNION, OPTIONAL, FILTER, MINUS and SELECT corresponds precisely to both, the intuitive multiset relational algebra (projection, selection, natural join, arithmetic union and except), and the multiset non-recursive Datalog with safe negation.

This is an extended and updated version of the paper accepted at the International Semantic Web Conference 2016

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Keywords

FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

  • BIP!
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    		 Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
Green