skip to main content
10.1145/2567948.2577262acmotherconferencesArticle/Chapter ViewAbstractPublication PageswwwConference Proceedingsconference-collections
tutorial

Online learning and linked data: lessons learned and best practices

Published:07 April 2014Publication History

ABSTRACT

Following the latest developments in online learning and Linked Data, the scope of this tutorial will be two-fold: 1. New online learning methods will be taught for supporting the teaching of Linked Data. Additionally, the lessons learned and the best practices derived from designing and delivering a Linked Data curriculum by the EUCLID project will be discussed. 2. Ways in which Linked Data principles and technologies can be used to support online learning and create innovative educational services will be explained, based on the experience developed in the development of existing Linked Data applications for online learning. We will in particular rely on the data catalogue, use cases and applications considered by the LinkedUp project.

Index Terms

  1. Online learning and linked data: lessons learned and best practices

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
      April 2014
      1396 pages
      ISBN:9781450327459
      DOI:10.1145/2567948

      Copyright © 2014 Copyright is held by the owner/author(s)

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 April 2014

      Check for updates

      Qualifiers

      • tutorial

      Acceptance Rates

      Overall Acceptance Rate1,899of8,196submissions,23%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader