Paper Info
Title
Efficient resource attribute retrieval in RDF triple stores
Abstract
The W3C Resource Description Framework (RDF) is gaining popularity for its ability to manage semi-structured data without a predefined database schema. So far, most RDF query processors have concentrated on finding complex graph patterns in RDF, which typically involves a high number of joins. This works very well to query resources by the relations between them. Yet, obtaining a record-like view on the attributes of resources, as natively supported by RDBMS, imposes unnecessary performance burdens, as the individual attributes must be joined to assemble the final result records. We present an approach to retrieve the attributes of resources efficiently. We first determine the resources in question and then retrieve all their attributes efficiently at once, exploiting contiguous storage in RDF indexes. In addition, we present an index structure which is specifically designed for RDF attribute retrieval. Our measurements show that our approach is clearly superior for larger numbers of attributes.
Year
DOI
Venue
2011
10.1145/2063576.2063785
CIKM
Keywords
Field
DocType
high number,rdf attribute retrieval,rdf query processor,rdf index,complex graph pattern,final result record,efficient resource attribute retrieval,index structure,individual attribute,w3c resource description framework,contiguous storage,rdf triple store,indexation,sparql,rdf,semi structured data,resource description framework
Data mining,Joins,RDF query language,Information retrieval,Computer science,Cwm,Database schema,SPARQL,RDF/XML,RDF Schema,RDF,Database
Conference
Citations 
PageRank 
References 
4
0.51
11
Authors
3
Name
Order
Citations
PageRank
Andreas Brodt111010.91
Oliver Schiller2384.32
Bernhard Mitschang3928284.89