Consuming Linked Data in Universities
Upcoming SlideShare
Loading in...5

Like this? Share it with your network


Consuming Linked Data in Universities






Total Views
Views on SlideShare
Embed Views



0 Embeds 0

No embeds



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment
  • Increasing availability of data through linked data,, ecs, oxford, bristol, many will come up data.* Explosion of data. Common object: courses, degrees, people, publications, places…
  • What application does, why useful, iluustrate the point.e.G we have linked data about buildings. Simple browser using ordnance survey postcode. Not very impressive, but this can be done very quickly, reducing the cost of development.
  • Having a mobile browser for podcats is now simple
  • App where people cndelclare what courses they are taking and what what I intend to study and connect to other people. Simple application, problem: mainting the list of courses and info about them. Not it was much easier with sparql and ld.
  • Useful for managers showing dynamics. Point: simple to do and integrate different sources of infoEasy to develop, like building, but also can combine data from different sources e.g. publications and projects involvement, event if data coming from different sources, and before data needed to be integrated.
  • Useful: facilitate course production. Useful: taking more data that arre outside the OU ld.Easily connect things, reduce cost of course production. Searching here returns and bring together podcast, courses, people involved, making data easily accessible.
  • Mobile application wher users can keep track of where they have been. Useful: can maintain your own kind of network of places with people. Engage the data by creating new connections around them. Data generated is RDF and can be generated and exported to the repository.Ld that supports the engagement of people within the organisation. Connect info about yourself, and push them to the repository.
  • We had lot of example. Where this I going is having ld in many different things, usable and consumed in many different places in central systems of the uni. E.g. drupal, and people’s profiles. Most web rely on drupal. We’ll have pages that use and produce ldaccros the uny. The way consuming is by integrating it femo different places. E.g. by using drupal at ou, and natively create rdfa in website, use info e.g. people profile and extract information from them.People profiles: refer to android app, saying that app can declare workplace of person here.

Consuming Linked Data in Universities Presentation Transcript

  • 1. Consuming Linked Data from Universities
    Fouad Zablith, Mathieu d’Aquin
    Knowledge Media Institute (KMi)
    The Open University
  • 2. Introduction
    More data is becoming available across universities. E.g.:
    ecs Southampton
    Most share common objects e.g. courses, degrees, people, publications, places, etc.
  • 3. What do we do with that?
    In search for the killer app, i.e.
    The one that gives you more funding
    More students
    More impact
    Actually, the most common benefits of Linked Data are less direct. i.e.
    Reducing the cost of development, and information Sharing
    With implication on running cost of university core business e.g. course production, student support, management
    Not one killer app, but many uses across the organisation
  • 4. Location Browser
  • 5. Podcast Browser
  • 6. Facebook Course Profiles App
  • 7. Research Collaboration
  • 8. Video Annotation and Search
  • 9. wayOU
  • 10. Conclusion
    The examples shown are the first steps towards producing and consuming Linked Data within universities
    With current central systems, e.g. Drupal used at the OU, it will be easier to benefit from Linked Data e.g.
    People’s profiles
    Course RDFa annotation
  • 11. Fouad Zablith