SlideWiki: revolutionise how educational materials can be authored, shared and reused

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SlideWiki's goal is to revolutionise how educational materials can be authored, shared and reused. By enabling authors and students to create and share slide decks as HTML in an open platform, communities around the world can benefit from materials created by world-leading educators on a wide range of topics.

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  • Duration: 01/2016–12/2018
  • Funding Programme: EU H2020

SlideWiki aims to exploit the wisdom, creativity and productivity of the crowd for the creation of qualitative, rich, engaging educational content. With SlideWiki users can create and collaborate on slides, diagrams, assessments and arrange this content in richly-structured course presentations.

SlideWiki empowers communities of educators to author, share and re-use sophisticated educational content in a truly collaborative way. Existing presentations can be imported and transformed into interactive courses using HTML and LaTeX. All content in SlideWiki is versioned thereby allowing users to revise, adapt and re-mix all content. Self-test questions can be attached to each individual slide and are aggregated on the presentation level into comprehensive self-assessment tests. Users can create their own presentation themes. Slidewiki supports the semi-automatic translation of courses in more than 50 languages, allowing synchronization of the content between the languages.

With SlideWiki we aim to make educational content dramatically more accessible, interactive, engaging and qualitative.

Slidewiki is an open-source platform, and all its content can be reused under CC-BY license. SlideWiki development, large-scale trials and underlying reseach is funded from Framework Programme for Research and Innovation Horizon 2020 under grant agreement no 688095. For more details, see SlideWiki EU project website

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News

DBpedia @ SEMANTiCS 2017 ( 2017-09-04T15:25:14+02:00 by Sandra Bartsch)

2017-09-04T15:25:14+02:00 by Sandra Bartsch

We are happy to invite you to the 10th DBpedia Community Meeting which will be held in Amsterdam. During the SEMANTiCS 2017, Sep 11-14, the DBpedia Community will get together on the 14th of September for the DBpdia Day. Read more about "DBpedia @ SEMANTiCS 2017"

PRESS RELEASE: Amsterdam​ ​-​ ​this​ ​year’s​ ​hotspot​ ​​on Linked​ ​Data​ ​Strategies​ ​&​ ​Practices ( 2017-09-04T11:58:06+02:00 by Sandra Bartsch)

2017-09-04T11:58:06+02:00 by Sandra Bartsch

September 11-14, 2017 international experts from science and industry demonstrate the business value of smart data services at SEMANTiCS 2017 Experts from science and industry meet at Europe’s biggest Linked Data and Semantic Web event to present and discuss latest … Continue reading → Read more about "PRESS RELEASE: Amsterdam​ ​-​ ​this​ ​year’s​ ​hotspot​ ​​on Linked​ ​Data​ ​Strategies​ ​&​ ​Practices"

AKSW Colloquium, 01.09.2017, IDOL: Comprehensive & Complete LOD Insights ( 2017-08-28T17:24:03+02:00 Gustavo Publio)

2017-08-28T17:24:03+02:00 Gustavo Publio

At the AKSW Colloquium on Friday 1st of September, at 10:40 AM there will be a paper presentation by Gustavo Publio. Read more about "AKSW Colloquium, 01.09.2017, IDOL: Comprehensive & Complete LOD Insights"

AKSW at ISWC2017 ( 2017-07-30T05:57:57+02:00 Muhammad Saleem)

2017-07-30T05:57:57+02:00 Muhammad Saleem

We are very pleased to announce that AKSW will be presenting 2 papers at ISWC 2017, which will be held on 21-24 October in Vienna, Austria. The demo and workshops papers have to be announced. Read more about "AKSW at ISWC2017"

AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning ( 2017-07-06T21:24:36+02:00 by Daniel Obraczka)

2017-07-06T21:24:36+02:00 by Daniel Obraczka

At the AKSW Colloquium on Friday 7th of July, at 10:40 AM there will be two paper presentations concerning genetic algorithms to learn linkage rules, and differentiable learning of logical rules for knowledge base reasoning. Read more about "AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning"