2012
DOI: 10.1007/978-3-642-31365-3_13
|View full text |Cite
|
Sign up to set email alerts
|

SPARQL Query Containment under RDFS Entailment Regime

Abstract: Abstract. The problem of SPARQL query containment is defined as determining if the result of one query is included in the result of another for any RDF graph. Query containment is important in many areas, including information integration, query optimization, and reasoning about Entity-Relationship diagrams. We encode this problem into an expressive logic called µ-calculus: where RDF graphs become transition systems, queries and schema axioms become formulas. Thus, the containment problem is reduced to formula… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
23
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
6
2
2

Relationship

1
9

Authors

Journals

citations
Cited by 29 publications
(23 citation statements)
references
References 13 publications
0
23
0
Order By: Relevance
“…In [5], a 2-EXPTIME upper bound was proved for containment under RDFS entailment of SPARQL queries that contain only the AND and UNION operator as well as property paths. For a similar query fragment, but instead of RDFS taking ontologies in the Description Logic SHI into account, the same upper bound was proved in [6].…”
Section: Related Workmentioning
confidence: 99%
“…In [5], a 2-EXPTIME upper bound was proved for containment under RDFS entailment of SPARQL queries that contain only the AND and UNION operator as well as property paths. For a similar query fragment, but instead of RDFS taking ontologies in the Description Logic SHI into account, the same upper bound was proved in [6].…”
Section: Related Workmentioning
confidence: 99%
“…Static analysis and optimisation of SPARQL queries has received significant attention in recent years [4,6,14,15,16]. A key ingredient for query optimisation is the availability of a comprehensive catalog of equivalence-preserving transformation rules for SPARQL patterns.…”
Section: Static Analysis and Optimisationmentioning
confidence: 99%
“…In [27], the authors formalized the syntax and semantics of SPARQL, presenting the first step towards understanding the fundamental properties of this language. This work was followed by studies about the complexity of query evaluation [34,23,5,29], query optimisation [22,30,12,13], query federation [10], expressive power analysis [3,31,20], and provenance tracking [17,18]. The theoretical study of SPARQL has impacted the Semantic Web in several ways, influencing the standard definition of SPARQL by the W3C and also the form in which users query RDF.…”
Section: Introductionmentioning
confidence: 99%