EUCLID Module 1: Linked Data
This event took place on Monday 01 October 2012 at 13:00
Dr Barry Norton Solutions Architect, Ontotext
This event took place on Monday 01 October 2012 at 13:00
This module aims to provide a general overview of the main topics related to using Linked Data. It is only an introduction and some of the topics are only mentioned and then discussed in greater detail in one of the following modules. The main goal of this module is to describe the overall motivating scenario and to teach the fundamental Linked Data principles, while briefly describing the context of the technologies and possible application solutions.
The covered topics are:
Motivation scenario
Linked Data foundations (introduction to the underlying technologies - HTTP, URIs, XML, RDF, SPARQL)
Evolution of the Web
Web technology basics (HTTP, URIs)
Describing and exchanging data (XML)
Semantics on the Web
Querying semantic data (SPARQL)
Introduction to Linked Data
Principles of Linked Data
The Web of Data
Click to download the slides for this presentation - PDF document (5Mb)

This work is licensed under a Creative Commons Attribution 3.0 Unported License.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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