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Semantics and Complexity of SPARQL
TLDR
We address systematically the formal study of SPARQL, concentrating in its graph pattern facility. Expand
Semantics and complexity of SPARQL
TLDR
We address systematically the formal study of the database aspects of SPARQL, concentrating in its graph pattern matching facility, and study the complexity of the evaluation of several fragments of the language. Expand
Survey of graph database models
TLDR
Graph database models can be defined as those in which data structures for the schema and instances are modeled as graphs or generalizations of them, and data manipulation is expressed by graph-oriented operations and type constructors. Expand
Introducing Time into RDF
TLDR
The resource description framework (RDF) is a metadata model and language recommended by the W3C. Expand
Binary RDF representation for publication and exchange (HDT)
TLDR
We propose a binary RDF representation that modularly partitions and efficiently represents three components of RDF datasets: Header information, a Dictionary, and the actual Triples structure. Expand
The Expressive Power of SPARQL
This paper studies the expressive power of SPARQL. The main result is that SPARQL and non-recursive safe Datalog with negation have equivalent expressive power, and hence, by classical results,Expand
Simple and Efficient Minimal RDFS
TLDR
This paper has two main contributions in the direction of simplifying the language. Expand
Temporal RDF
TLDR
The Resource Description Framework (RDF) is a metadata model and language recommended by the W3C. Expand
Foundations of semantic web databases
TLDR
The Semantic Web is based on the idea of adding more machine-readable semantics to web information via annotations written in a language called the Resource Description Framework (RDF). Expand
Minimal Deductive Systems for RDF
TLDR
This paper presents a minimalist program for RDF, by showing how one can do without several predicates and keywords of the RDF Schema vocabulary, obtaining a simpler language which preserves the original semantics. Expand
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