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The OU Linked Open Data:
Production and Consumption


Fouad Zablith, Miriam Fernandez and Matthew Rowe

          Knowledge Media Institute (KMi),
             The Open University, UK
Scenario

•  University students constantly look for relevant people
   and learning material in their fields of studies. So they
   need support in:

   –  Locating and accessing learning material

   –  Finding other subjects of interest

   –  Finding people who share interest or have expertise in
      specific topics to boost their productivity and collaboration
Problem
                                                     “I'm pretty sure it's
     •  In the current information
        infrastructure, each data                    here somewhere...”
        repository is developed
        and maintained in
        isolation
     •  So it is not possible to
        easily retrieve related
        learning content across
        the OU
     •  Due to this, finding
        people and learning
        material requires efforts
        from students who have
        to check various sources

http://www.flickr.com/photos/mclibrary/5137156226/
Library
                               Publications                  Podcasts
 Catalogue




                  Open                           Courses                People
                  Learn                        Information




http://www.flickr.com/photos/48276710@N08/4538737328/
http://www.flickr.com/photos/nigelpepper/2275987980/
Solution

•  What is needed is to create links at the data level, rather
   than only at the documents level

•  Such links can be used to deliver better content enabled
   systems that integrate various data entities, and to make
   the data accessibility easier for consumption
Library
                    Publications                 Podcasts
Catalogue




            Open                     Courses
                                                            People
            Learn                  Information




                           Linked Data
                             Platform
Library
                          Publications                    Podcasts
Catalogue
                                                       author

                    hasCourseware

            Open                           Courses
                                                                     People
            Learn                        Information




                                 Linked Data
                                   Platform
Linked Data Production:
The LUCERO Workflow
The OU Linked Data(sets)
•  Courses information
     –  Title, description, locations, presentations, courseware,
        subjects…
•  Podcasts
     –  Title, description, media location, courses, subjects…
•  Publications
     –  Title, authors, abstracts, types…
•  OpenLearn
     –  Title, description, tags, courses…
•  University buildings
     –  Postcode, pictures…
•  Library catalogue (under review)
•  Reading Experience Database (under review)
•  OU YouTube Channel (under Review)
•  Open Arts Archive (under Review)
•  ...
OU Linked Data Platform
Consuming OU Linked Data
Data Query Examples

•  It is now possible to check:
   –  What are the courses available in Greece?
   select ?x where {?x <http://data.open.ac.uk/saou/ontology#isAvailableIn> <http://sws.geonames.org/390903/>}

   –  What Podcasts relate to course L204 (Intermediate
      Spanish)?
   select ?x where {?x <http://data.open.ac.uk/podcast/ontology/relatesToCourse> <http://data.open.ac.uk/course/
   l204>}

   –  What are the units related to “Earthquake”:
   select ?c ?desc where {?c <http://purl.org/dc/terms/description> ?desc .
   { {?c <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://data.open.ac.uk/openlearn/ontology/
   OpenLearnUnit>} UNION {?c <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://data.open.ac.uk/
   podcast/ontology/VideoPodcast>} } FILTER regex(str(?desc), "earthquake", "i" )}



   –  More examples can be found at:
   http://lucero-project.info/lb/2011/03/example-queries/
Applications
Expert Search

•  Goal: Finding people who have relevant expertise in a
   topic of interest

•  Data used:
   –  OU publications
   –  OU staff directory

•  Linked data facilitated the development of the system, by
   providing the adequate structure required to rank the
   experts e.g. based on the publication type, year of
   publication, etc.
Expert Search
Buddy Study

•  Goal: Finding potential study partners to support course
   learning, networking and knowledge sharing

•  Data used:
   –  OU courses information
   –  Facebook wall posts

•  Linked data facilitated the extraction of the needed
   courses elements e.g. description and title, used to match
   the wall posts on Facebook profiles
OU Buddy Study

•  Example showing a potential study buddy based on
   Matthew Rowe’s profile:
Linked OpenLearn

•  Goal: Supporting students in finding relevant learning
   material while studying specific OpenLearn units

•  Data used:
   –  OU courses information
   –  OU Podcasts
   –  OU OpenLearn

•  In addition to easily extract data, Linked Data enabled
   discovering links between the previously disconnected
   OpenLearn units and Podcasts by passing through the
   common courses. This was previously very expensive
   (almost impossible) to do without Linked Data.
Linked OpenLearn
Conclusion

•  The OU is the first university in the UK to expose its
   content as Linked Data

•  As shown in this presentation, Linked Data introduces
   great benefits at the level of connecting data internally
   within the OU to deliver better user access to information,
   through building sophisticated applications that easily
   exploit the data links
The Next Big Question
The Next Big Question




                            ?

•  How can we increase the Linked Data benefits by
   connecting to other universities, through adopting
   common approaches and standards?
Thank you!
     @fzablith
    @miriam_fs
   @mattroweshow

 f.zablith@open.ac.uk

http://lucero-project.info
 http://data.open.ac.uk

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The OU Linked Open Data, Production and Consumption

  • 1. The OU Linked Open Data: Production and Consumption Fouad Zablith, Miriam Fernandez and Matthew Rowe Knowledge Media Institute (KMi), The Open University, UK
  • 2. Scenario •  University students constantly look for relevant people and learning material in their fields of studies. So they need support in: –  Locating and accessing learning material –  Finding other subjects of interest –  Finding people who share interest or have expertise in specific topics to boost their productivity and collaboration
  • 3. Problem “I'm pretty sure it's •  In the current information infrastructure, each data here somewhere...” repository is developed and maintained in isolation •  So it is not possible to easily retrieve related learning content across the OU •  Due to this, finding people and learning material requires efforts from students who have to check various sources http://www.flickr.com/photos/mclibrary/5137156226/
  • 4. Library Publications Podcasts Catalogue Open Courses People Learn Information http://www.flickr.com/photos/48276710@N08/4538737328/
  • 6. Solution •  What is needed is to create links at the data level, rather than only at the documents level •  Such links can be used to deliver better content enabled systems that integrate various data entities, and to make the data accessibility easier for consumption
  • 7. Library Publications Podcasts Catalogue Open Courses People Learn Information Linked Data Platform
  • 8. Library Publications Podcasts Catalogue author hasCourseware Open Courses People Learn Information Linked Data Platform
  • 9. Linked Data Production: The LUCERO Workflow
  • 10. The OU Linked Data(sets) •  Courses information –  Title, description, locations, presentations, courseware, subjects… •  Podcasts –  Title, description, media location, courses, subjects… •  Publications –  Title, authors, abstracts, types… •  OpenLearn –  Title, description, tags, courses… •  University buildings –  Postcode, pictures… •  Library catalogue (under review) •  Reading Experience Database (under review) •  OU YouTube Channel (under Review) •  Open Arts Archive (under Review) •  ...
  • 11. OU Linked Data Platform
  • 13. Data Query Examples •  It is now possible to check: –  What are the courses available in Greece? select ?x where {?x <http://data.open.ac.uk/saou/ontology#isAvailableIn> <http://sws.geonames.org/390903/>} –  What Podcasts relate to course L204 (Intermediate Spanish)? select ?x where {?x <http://data.open.ac.uk/podcast/ontology/relatesToCourse> <http://data.open.ac.uk/course/ l204>} –  What are the units related to “Earthquake”: select ?c ?desc where {?c <http://purl.org/dc/terms/description> ?desc . { {?c <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://data.open.ac.uk/openlearn/ontology/ OpenLearnUnit>} UNION {?c <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://data.open.ac.uk/ podcast/ontology/VideoPodcast>} } FILTER regex(str(?desc), "earthquake", "i" )} –  More examples can be found at: http://lucero-project.info/lb/2011/03/example-queries/
  • 15. Expert Search •  Goal: Finding people who have relevant expertise in a topic of interest •  Data used: –  OU publications –  OU staff directory •  Linked data facilitated the development of the system, by providing the adequate structure required to rank the experts e.g. based on the publication type, year of publication, etc.
  • 17. Buddy Study •  Goal: Finding potential study partners to support course learning, networking and knowledge sharing •  Data used: –  OU courses information –  Facebook wall posts •  Linked data facilitated the extraction of the needed courses elements e.g. description and title, used to match the wall posts on Facebook profiles
  • 18. OU Buddy Study •  Example showing a potential study buddy based on Matthew Rowe’s profile:
  • 19. Linked OpenLearn •  Goal: Supporting students in finding relevant learning material while studying specific OpenLearn units •  Data used: –  OU courses information –  OU Podcasts –  OU OpenLearn •  In addition to easily extract data, Linked Data enabled discovering links between the previously disconnected OpenLearn units and Podcasts by passing through the common courses. This was previously very expensive (almost impossible) to do without Linked Data.
  • 21. Conclusion •  The OU is the first university in the UK to expose its content as Linked Data •  As shown in this presentation, Linked Data introduces great benefits at the level of connecting data internally within the OU to deliver better user access to information, through building sophisticated applications that easily exploit the data links
  • 22. The Next Big Question
  • 23. The Next Big Question ? •  How can we increase the Linked Data benefits by connecting to other universities, through adopting common approaches and standards?
  • 24. Thank you! @fzablith @miriam_fs @mattroweshow f.zablith@open.ac.uk http://lucero-project.info http://data.open.ac.uk