Paper Info
Title
QED: Out-of-the-box Datasets for SPARQL Query Evaluation.
Abstract
In this paper, we present SPARQL QED, a system generating out-of-the-box datasets for SPARQL queries over linked data. QED distinguishes the queries according to the different SPARQL features and creates, for each query, a small but exhaustive dataset comprising linked data and the query answers over this data. These datasets can support the development of applications based on SPARQL query answering in various ways. For instance, they may serve as SPARQL compliance tests or can be used for learning in query-by-example systems. We ensure that the created datasets are diverse and cover various practical use cases and, of course, that the sets of answers included are the correct ones. Example tests generated based on queries and data from DBpedia have shown bugs in Jena and Virtuoso.
Year
DOI
Venue
2018
10.1007/978-3-030-21348-0_32
Lecture Notes in Computer Science
Keywords
Field
DocType
SPARQL datasets,Compliance tests,Benchmark
Use case,Information retrieval,Computer science,Linked data,SPARQL
Conference
Volume
ISSN
Citations 
11503
0302-9743
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Veronika Thost102.37
Julian Dolby2138974.44