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

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"