Presentation of LUCERO at EURECOM
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  • Usual pitch: - data on the web = every piece of data is web addressable, so data across different places/stores/systems become linkable: the Web = 1 data space

Presentation of LUCERO at EURECOM Presentation of LUCERO at EURECOM Presentation Transcript

  • Linked Data in a University Context: Publication, Applications and Beyond
    Mathieu d’Aquin - @mdaquin
    Knowledge Media Institute, the Open University
    data.open.ac.uk
  • Linked Data
    As set of principles and technologies for a Web of Data
    Putting the “raw” data online in a standard, web enabled representation (RDF)
    Make the data Web addressable (URIs)
    Link with other data
  • Graph (up to date)
    View slide
  • The Open University
    The biggest university in the UK (200,000 students)
    One of the youngest (40 years)
    Most teaching done at a distance
    1 campus, 13 regional centers
    Committed to “Open”:
    Open educational material available as podcasts (iTunes U), units of course material (OpenLearn), etc.
    Tradition of investing in new technology for teaching, learning, knowledge sharing, etc.
    Role of the Knowledge Media Institute (KMi)
    View slide
  • So Linked Data for the OU?
    RAE
    DBPedia
    Data from
    Research
    Outputs
    OpenLearn
    Content
    ORO
    Exposed as linked data, our data interlink with each other and the external world: become part of the “global data space” on the Web
    Archive of
    Course
    Material
    Library’s
    Catalogue
    Of Digital
    Content
    geonames
    data.gov.uk
    Currently: OU public data sit in different systems – hard to discover, obtain, integrate by users.
    A/V Material
    Podcasts
    iTunesU
    BBC
    DBLP
  • Why is it important?
    The OU has been the first University to expose its data as linked data: http://data.open.ac.uk
    Now widely recognized as a critical step forward for the HE sector in the UK (and worldwide)
    Favor transparency and reuse of data, both externally and internally
    Reduces cost of dealing with our own public data: integration and reuse by design
    Enable both new kinds of applications, and to make the ones that are already feasible more cost effective
    Several other UK universities have now followed our example:
    http://data.online.lincoln.ac.uk/, http://data.ox.ac.uk/, http://data.southampton.ac.uk/
    And others in other countries are setting up similar initiatives
  • The data.open.ac.uk Stack
    Applications
    Institutional repository data
    Research Data (Arts)
    Organizational infrastructure
    Technical infrastructure
  • data.open.ac.uk
  • Expose
    Store
    Collect
    Extract
    Link
    Ontologies
    Scheduler
    Cleaning rules
    RDF file (add) RDF file (delete)
    URL redirection rules
    RSS Extractor
    Delete (1)
    Add (2)
    RDF Cleaner
    Web Server
    ORO, podcast
    RSS feed
    RDF file (add) RDF file (delete)
    Triple Store
    RSS Updater
    SPARQL
    endpoint
    RDF Extractor
    New items
    Obsolete items
    Each datasets
    Index
    Entity Name System
    Search
    XML Updater
    URI creation rules
    Lib, courses, loc
    Planning + Logging
    Generic process
    Dataset specific process
  • Method for a exposing a dataset
    • Identify data
    • Get sample data
    • Identify Copyright Issues
    • Identify possible links
    • Identify users and usage
    Initial Meeting with Data Owner
    Lucero Core Team
    Data Owner
    Data Modeling sessions
    Lucero KMi Team
    • Find reusable ontologies
    • Map onto the data
    • Identify uncovered parts
    • Define URI Scheme
    Data Modeling Validation
    Lucero Core Team
    Lucero members
    Data Owner
    Development of Extractor
    URI Creation Rules Definition
    Deployment
    Lucero KMi Team
  • Screenshot of the dataset page
  • Applications
    Mobile and Personal Semantics
    Social
    Resource Discovery
    Research
    Exploration
  • Example application: Link OpenLearn to relevant course/podcasts
    See also: Zablith et al, LinkedLearning 2011
  • ROLE widget
  • Integrating Open Educational Material in course descriptions
    See also: Zablith et al., COLD 2011
  • Explore
    Explore the courses, qualifications and open educational resources available on a particular topic in one place.
    See also: Zablith et al., COLD 2011
  • se
    Lean-back podcast viewer
    See also: Zablith et al., COLD 2011
    See also: Zablith et al., COLD 2011
  • se
    See also:
    http://people.kmi.open.ac.uk/mathieu/about/discobro-discovering-linked-data-
    resources-while-browsing/
    http://discovery.ac.uk/developers/competition/
  • Add DiscoBro
  • Example Application: keep track of location, meetings, tutorials, at the OU
  • Radar
  • Supporting Researchers: The Reading Experience Database
    http://www.open.ac.uk/Arts/reading/
    40,000 accounts of somebody reading something at some time in some place
    Used by researchers in literature and history to explore research hypothesis
  • Event
    Location
    locatedIn
    subClassOf
    subClassOf
    Experience
    City
    Country
    date: Date
    readerInvolved
    originCountry
    textInvolved
    occupation
    givesBackgroundTo
    Person
    religion
    gender
    creator/editor
    LinkedEvent Ontology
    Document
    CITO Citation Ontology
    Dublin Core
    title: String
    description: String
    published: Date
    providesExcerptFor
    FOAF
    DBPedia
  • Lessons Learnt
    The major part of the work is not technical
    Linked data is simple!
    Identifying available data, obtaining access to them, re-modeling them is hard
    A lot of people’s jobs (administrators, managers, researchers)areall about collecting and managing data
    A lot of this effort is lost because of closed systems, lack of integration and exposure of the data
    Linked data is also a way to maximize the exploitation of otherwise inefficient data management approaches
    There is no killer app
    Benefit = many small things that are made easier/were not possible before.
  • What’s Next?
    Cross-Institution Linked Data/Resource Discovery/Exchanges
    Why should educational resources be in University Silos? Who cares where they come from?
    LinkedUniversities.org
    See also:
    Fernandez et al., ISWC 2011 (in use)
  • What’s Next? (2)
    Understanding, Analyzing, Interpreting the data
    Data is useless, there is no intelligence in the data, only in the application
    And current applications are no so intelligent, interpretation is still left to the user
    Reasoning, pattern recognition, data analytics and data mining with the all sort of new challenges in linked data
    Create something new: the Semantic Web
  • Deploy SPARQL endpoints on Android and Use Sensor Data
    See also:
    d’Aquin et al. ISWC 2011 demo
    d’Aquin et al. SSN 2011
  • See also:
    http://lucero-project.info/lb/2011/06/what-to-ask-linked-data/
    d’Aquinand Motta, K-CAP 2011
  • See also:
    uciad.info
    d’Aquin et al – SDoW 2011
  • Thank you!
    Carlo Allocca
    SalmanElahi
    Jane Whild
    FouadZablith
    KMi
    AndriyNikolov
    EnricoMott
    Mathieu d’Aquin
    Arts
    Suzanne Duncanson-Hunter
    John Wolfe
    Paul Lawrence
    Richard Nurse
    ((ex-)PM)
    Owen Stephens
    (PM)
    Stuart Brown
    Liam Green Hughes
    Com./
    Student
    Comp.
    Services
    Non Scantlebury
    Library
    Specialists
    Arts Specialists
    OU Library
    Data Owners