john domingue. developing rich interactive e books to teach linked open data to professionals:...

Developing Rich Interactive

eBooks to Teach Linked Open

Data to Professionals: Principles

and Processes

John Domingue, Knowledge Media Institute, The Open UniversitySTI International

St Petersburg, March 10, 2014

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Overview

• Motivation

• Design and delivery principles

• Channels

• Process

• Results

• Monitoring

• Future Work

• Summary

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Motivation (1/3)

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Motivation (2/3)

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http://www.mckinsey.com/mgi/publications/big_data/index.asp

Motivation (3/3)

Percentage increase in staff over next 2 years Approach taken to increasing staff

Big Data Analytics talent gap staff survey

PRINCIPLES

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‘Right’ Topic?

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Design Principles

Industrial relevance

Team curriculum design

External collaboration

Explicit learning goals

Use of realistic solutions

Use of real data

Use of real tools

Show scalable solutions

Eating our own dog food

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Delivery Principles

Multiple Channels

Open to format

Addressability

Integrated

High quality

Self-testing and reflection

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CHANNELS

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OU iTunes U Stats

• Open University on iTunes U was launched on

3rd June 2008

• Now 58 iTunes U Courses

• 65,138,000 downloads

• Over 9,015,700 visitors downloaded files

• Currently averaging 80,000-300,000 downloads

a week

• 449 collections containing 3,485 tracks (1,638

audio, 1,847 video) and 27 extras (PDF)

• 423 OpenLearn study units as eBooks (ePub),

representing over 5,000 hours of study

• Currently delivering an average of 0.3-1 TB of

data a week

ESWC Summer School

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PROCESS

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Expert Opinion

Gathering

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Data science curriculum session

Process Model

Collection of RawChapter Materials

Learning Objectives

SlidesFirst Version

Webinar –First Recording

Slides – Final Version

Webinar –Final Recording

Initial Version of eBook Chapter

Pre-final Version of eBook Chapter

Final eBook Chapterand online course

RESULTS

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Modules

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• Introduction and application scenarios

• Querying Linked Data

• Provisioning Linked Data

• Interaction with Linked Data

• Building Linked Data applications

• Scaling up

Module Formats

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iTunes U Course

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MONITORING

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Dataflow

Data Harvesting• Twitter

– keywords-based search & monitoring

• LinkedIn groups

– Linked Data Web, Semantic Web, ‘Ontologies, OWL-S,

SPARQL interest group’, Semantic Technologies Group,

Semantic Technologies, OWL/RDF

• W3C mailing lists

– SemanticWeb, LOD, Government Linked Data, Public-idp,

Public-ldp-wg, LifeScience, RDF Stream processing,

Semantic Open Data, Semantic Web Activity

• SlideShare - not monitored yet (RSS feed is

useless)

#30Social Media Monitoring Platform v.2 Dec 2013

Monitoring Numbers

• 185,000 tweets

• 773 linkedIn posts

• 898 messages from the W3 mail lists

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Monitoring Forums (1/2)

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Monitoring Forums (2/2)

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Monitoring Topics (1/2)

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Monitoring Topics (2/2)

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Monitoring People

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FUTURE WORK

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www.ict-forge.eu

@ICT_FORGE

FORGE is bringing the FIRE and eLearning worlds together

FIRE (Future Internet

Research and

Experimentation)

high-performance

test-beds

Forging Online Education through FIRE

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Summary

• Need to fill skilled data scientists gap

• Successful development and deployment of open educational resources– Multi-skilled course team

– Strong links to industrial requirements

– Rich multimedia interactive eBooks

– Explicit learning goals

– Real data and tools

– Multi channel delivery

• Linked data based monitoring

• Future work to deploy in new contexts – EU job skills dashboard

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The teamThanks to all contributors! Alexander Mikroyannidis, OU

Alice Carpentier, STI-R

Andreas Harth, KIT

Andreas Wagner, KIT

Andriy Nikolov, fluidOps

Barry Norton, Ontotext

Alex Simov, Ontotext

Marin Dimitrov, Ontotext

Daniel M. Herzig, KIT

Elena Simperl, STI-R/Univ. of Southampton

Günter Ladwig, KIT

Inga Shamkhalov, KIT

Jacek Kopecky, OU

John Domingue, OU

Juan Sequeda, Capsenta/University of Texas

Kalina Bontcheva, University of Sheffield

Lyndon Nixon, STI-R

Maria Maleshkova, KIT

Maria-Esther Vidal, Univers. Simon Bolivar

Maribel Acosta, KIT

Michael Meier, fluidOps

Ning Li, OU

Paul Mulholland, OU

Peter Haase, fluidOps

Richard Power, OU

Steffen Stadtmüller, KIT

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@euclid_project euclidproject euclidproject

http://www.euclid-project.eu

Other channels

eBook Course