RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …

In recent years, several knowledge bases have been built to enable large-scale knowledge
sharing, but also an entity-centric Web search, mixing both structured data and text …

Subgraph counting is a fundamental graph analysis task which has been widely used in
many applications. As the problem of subgraph counting is NP-complete and hence …

Despite the crucial role of cardinality estimation in query optimization, there has been no
systematic and in-depth study of the existing cardinality estimation techniques for subgraph …

Subgraph counting, as a fundamental problem in network analysis, is to count the number of
subgraphs in a data graph that match a given query graph by either homomorphism or …

To counter societal and economic problems caused by data silos on the Web, efforts such as
Solid strive to reclaim private data by storing it in permissioned documents over a large …

RDF data are used to model knowledge in various areas such as life sciences, Semantic
Web, bioinformatics, and social graphs. The size of real RDF data reaches billions of triples …

Query optimization in RDF Stores is a challenging problem as SPARQL queries typically
contain many more joins than equivalent relational plans, and hence lead to a large join …

The Resource Description Framework (RDF) is a flexible model for representing information
about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation …

We consider the setting of a Semantic Web database, containing both explicit data encoded
in RDF triples, and implicit data, implied by the RDF semantics. Based on a query workload …