This paper details RDF/OWL storage and management in two popular Relational Database
Management Systems (RDBMSs): Oracle and Virtuoso. Popularity, sustainability, and …

This chapter discusses the abstract concepts necessary to realise a Web of Data. We
discuss how the content on the Web can be represented as graph-structured data in order to …

The evaluation of Datalog rules over large Knowledge Graphs (KGs) is essential for many
applications. In this paper, we present a new method of materializing Datalog inferences …

As more and more data is being generated by sensor networks, social media and
organizations, the Web interlinking this wealth of information becomes more complex. This is …

Query answering in RDF knowledge bases has traditionally been performed either through
graph saturation, ie, adding all implicit triples to the graph, or through query reformulation, ie …

Purpose Semantic Web is an extension of the World Wide Web by tagging content with
“meaning”. In general, question answering systems based on semantic Web face a number …

Abstract Reasoning on a web-scale is one of the most important problems of the emerging
semantic web. In this short paper, we look into our previous experience in this field to identify …

The size and growth rate of the Semantic Web call for querying and reasoning methods that
can be applied over very large amounts of data. In this paper, we discuss how we can enrich …

In the semantic web, content is tagged with" meaning" or" semantics" to facilitate machine
processing and web searching. In general, question answering systems that are built on top …

Large RDF interconnected datasets, especially in the form of open as well as enterprise
knowledge graphs, are constructed and consumed in several domains. Reasoning over …