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SPARQL extensions with preferences

a survey
descriptionPublicationkeyboard_double_arrow_right Article , Conference object 04 Apr 2016Publisher:ACMJournal:Proceedings of the 31st Annual ACM Symposium on Applied Computing
Authors: Pivert, Olivier; Slama, Olfa; Thion, Virginie;

doi: 10.1145/2851613.2851690

SPARQL extensions with preferences

Abstract

The last decade has witnessed an increasing interest in expressing preferences inside database queries. Even though most of the work has been devoted to relational databases, many proposals have also been made in the Semantic Web area in order to query RDF databases in a flexible way. This paper presents a survey of these approaches, classifies them, and points out research perspectives.

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Keywords

Database, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], SPARQL, Preference Queries, RDF

  • BIP!
    Impact byBIP!
    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).
    		 18
    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.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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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!
18
Top 10%
Top 10%
Top 10%
Green
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