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 …

RDF is increasingly being used to encode data for the semantic web and data exchange.
There have been a large number of works that address RDF data management following …

In recent years, several noteworthy large, cross-domain, and openly available knowledge
graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata …

Abstract The Resource Description Framework (RDF) is a standard for conceptually
describing data on the Web, and SPARQL is the query language for RDF. As RDF data …

With the growing popularity of Internet of Things (IoT) and IoT-enabled smart city
applications, RDF stream processing (RSP) is gaining increasing attention in the Semantic …

Triple stores are the backbone of increasingly many Data Web applications. It is thus evident
that the performance of those stores is mission critical for individual projects as well as for …

In order to leverage the full potential of the Semantic Web it is necessary to transparently
query distributed RDF data sources in the same way as it has been possible with federated …

Web tables constitute valuable sources of information for various applications, ranging from
Web search to Knowledge Base (KB) augmentation. An underlying common requirement is …

Efficient storage and querying of RDF data is of increasing importance, due to the increased
popularity and widespread acceptance of RDF on the web and in the enterprise. In this …

RDF has become very popular for semantic data publishing due to its flexible and universal
graph-like data model. Yet, the ever-increasing size of RDF data collections makes it more …