Fundamentals of Resource Description Framework
Storing and Indexing Massive RDF Data Sets
This paper presents a general survey of the current state of the art in RDF storage and indexing. It identifies three different perspectives on RDF, [...]
An Uber-comparison of RDFa, Microdata and Microformats
This blog post discusses issues related to technical compatibility issues between the RDFa and Microdata formats. It provides an easy-to-read list of similarities and differences [...]
RDF Terms in RDFLib
This documentation explains that terms are the kinds of objects that can appear in quoted/asserted triples. Those that are part of core RDF concepts are: [...]
Introduction to Semantics in MarkLogic
This is the first chapter in MarkLogic's "Semantic Developer's Guide". It contains information about the RDF data model in general but, more importantly, the chapter [...]
Loading Semantic Triples
This is the third chapter in MarkLogic's "Semantic Developer's Guide". It describes how to load triples into a MarkLogic database from two sources; from an [...]
Design and Manage Persistent URIs
Slide presentation used as part of a training module aiming to answer the following questions: What is a Uniform Resource Identifier (URI); Why is URI [...]
Foundations of RDF Databases
This older presentation presents the argument that the RDF data model can be viewed as an extension of the traditional database model, rather than as [...]
Tracking RDF Graph Provenance using RDF Molecules
The Semantic Web facilitates the integration of partial knowledge and finding evidence for hypothesis from Web knowledge sources. However, the appropriate level of granularity for [...]
On Explicit Provenance Management in RDF/S Graphs
The notion of RDF Named Graphs has been proposed in order to assign provenance information to data described using RDF triples. This paper argues that [...]
SPARQL in 11 minutes
This video serves as an introduction to the W3C query language for RDF, SPARQL. Before explaining SPARQL queries themselves, a brief discussion of Linked Data [...]