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Linked Data 2016


Linked Data and other Semantic Web technologies are used in a variety of
organisations for projects large and small. They are a key feature in both
government open data initiatives and enterprise-wide data integration systems
for internal use. In this course, you’ll learn about the building blocks of the
Semantic Web and how to use them, including how to model your data in RDF,
integrate with third-party and OpenData sources, and how to enter and run SPARQL
queries. You’ll hear about how these technologies are used today, and have a
chance to try them out in the hands-on portions of the classes.

This course is chaired by Philip Fennell and taught by John Snelson, Kal Ahmed, and Philip Fennell.

Classes for 2016

The Linked Data course runs on

The Semantic Web: an Overview

Taught by Kal Ahmed.

The Semantic Web is a set of standards and best practices for sharing data and
the semantics of that data over the web for use by applications. What are the
standards? What are the best practices? What does it mean to share semantics
along with data, and how can that make the data more useful? How do applications
use data from across the web?

In this class, we’ll look at the high-level answers to these questions, take a
tour of the technology and the acronyms, and see how they all fit together
before the day’s remaining speakers dig deeper into the practical use of these

Introduction to Linked Data

Taught by Kal Ahmed.

The infrastructure of the world wide web can do more than deliver documents for
people to read off of their screens: it can also deliver data for applications
to use. The principles of Linked Data have laid a foundation that has made it
possible for governments, media, and e-commerce retailers to publish data on the
web without depending on custom-built APIs. This class will show you how to take
advantage of these principles to consume available data and to publish it

Among other things, we’ll learn about popular sets of linked data that you can
use, how to create links between datasets, how to mint good URIs, HTTP issues,
and how to take gradual steps toward good linked data publishing.

Introduction to SPARQL and SPARQL Update

Taught by John Snelson and
Philip Fennell.

SPARQL is the standard W3C query language for semantic web applications. It
brings together the features of a number of RDF query languages into one method
for extracting information from data represented in RDF, whether small datasets
or large.

The next wave of SPARQL standardization is currently underway to add features
that are useful for publishing data and also to add mechanisms to update and
manage RDF data over the web.

This session will provide a solid grounding in SPARQL. After demonstrating how
powerful some very simple SPARQL queries can be, we will take a practical
approach to looking at the key features of SPARQL 1.0 and 1.1, and then explore
the principles underpinning the SPARQL query language.

Following this, we will introduce the features of SPARQL for update and
management of data using web protocols. SPARQL Update is a language for
modifying RDF data and SPARQL HTTP Update provides for RESTful update of a
collection of RDF graphs.

RDF principles and modelling

Taught by Philip Fennell.

This session will look at the practical means by which you can generate and
acquire RDF datasets from relational data sources, XML, content enrichment and
the Linked Open Data Cloud. We will discover best practice in RDF data modelling
by utilising established design patterns and how they can be applied to
real-world modelling problems. We will also look at publishing metadata in RDFa
and how the worlds of XML and RDF can meet to help build more compelling
data-driven applications.

Practical Implementation (Panel Session)

Taught by John Snelson,
Kal Ahmed,
and Philip Fennell.

This panel session with all speakers will concentrate on the practical aspects of
what is stopping more people from implementing and using Linked Data and
Semantic Web technologies.