Semantic.edu, an introduction
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Semantic.edu, an introduction Presentation Transcript

  • 1. The Semantic Web
    • The state of play for liberal arts campuses
    • December 2009
    • NITLE Research
    ( http://weblogs.elearning.ubc.ca/googlescholar/archives/046534.html )
  • 2. Today’s hour
    • Agenda
    • sketch of semantic field
    • spectrum of uses (campus + world)
    • discussion of uses
    • What you can take away
    • general awareness of emerging tech
    • pointer to interesting projects
    • ideas for projects you can do
    • network with each other
  • 3. What is the Semantic Web?
    • A set of technologies
    • full stack includes:
      • RDF
      • OWL
      • SPARQL
      • RDFa
    • … and also NLP
    http://obitko.com/tutorials/ontologies-semantic-web/semantic-web-architecture.html
  • 4. What is the Semantic Web?
    • Policies, practices, strategies
    • interoperability (“The Semantic Web is a web of data”, W3C)
    • openness
    • linked data
    • "data integration is the name of the game"
    • Sir Tim Berners-Lee, 2008,
    • http://blogs.zdnet.com/semantic-web/?p=105
  • 5. What is the Semantic Web?
    • businesses growing
    • Sites
    • Tools
    • Consulting
  • 6. What is the Semantic Web?
    • A set of technologies?
    • Web content with:
    • Identifiers
    • Exposed metadata (triples)
    • Links
    • “ By May 2009 this had grown to 4.2 billion RDF triples, interlinked by around 142 million RDF links.”
    http://en.wikipedia.org/wiki/Linked_Data
  • 7. What is the Semantic Web? W3C, Alice in Semantic Wonderland http://www.w3.org/TR/xhtml-rdfa-primer/alice-example.html
    • RDFa example
    • Properties assigned
  • 8. How can this be used?
    • External resources, under the hood
    • Semantic tools and services
    • Plug-ins and add-ons
    • Campus projects
    • Pedagogies and research
  • 9. External resources, under the hood http://www.w3.org/2009/Talks/0830-Nanjing-IH/ http://www.readwriteweb.com/archives/google_semantic_data.php
  • 10. External resources, under the hood
    • More:
    • Tripit, http://www.tripit.com/
    • Dapper MashupAds, http://www.dapper.net/
    • Snapshots, http://snap.com
    • BooRah, http://boorah.com
  • 11. Semantic tools and services
    • "Semantic Knowledge Databases“, like Twine
    • Example: Faviki: semantic social bookmarking
    http://www.readwriteweb.com/archives/semantic_web_what_is_the_killer_app.php
  • 12. Semantic tools and services
    • Presentation and visualization
    ( http://www.sioc.me/ ) ( http://www.sioc.me/ )
  • 13. Plug-ins and add-ons
    • Derive categories, drive suggestions
    Tagaroo for WordPress, http://tagaroo.opencalais.com/
  • 14. Plug-ins and add-ons
    • Others:
    • Zemanta, http://www.zemanta.com/
    • Semantic Mediawiki, http://www.semanticmediawiki.org/wiki/Semantic_MediaWiki
  • 15. Semantic tool in play: ClearForest Gnosis, FF plugin
  • 16.
    • Public museum projects (Powerhouse, Australia) http://tinyurl.com/yq66ss
  • 17. Campus projects
    • Enterprise or medium-scale architecture strategies
    • repository (example: http://dspace.nitle.org/ )
    • general campus-housed documentation
    • revise metadata strategy and/or run local app
    • Rely on growing number of helper apps (i.e., Triplify, GRDDL, etc.)
  • 18. Campus projects
    • Why do such a thing?
    • Campus research and connections
    • Outreach
    • Open content - connect with some academic projects, like OAI
    • "make your information more programmable" (Reuters, Tim O’Reilly interview, February 2008, http://radar.oreilly.com/archives/2008/02/reuters-ceo-sees-semantic-web.html )
  • 19. Campus projects
    • Example: Vitro (Cornell, http://vivo.cornell.edu )
    • -across departments, admin. units
  • 20. Campus projects
    • Ontology editor available: http://vitro.mannlib.cornell.edu/
    • Needed: Java, Apache Tomcat and Ant, MySQL, Subversion
    • Howto: create an ontology, then populate
    • https://confluence.cornell.edu/display/VITROUSERS/Home
  • 21. Campus projects
    • NIH funds Vitro-powered multi-campus science collaboration
    • http://www.ncrr.nih.gov/the_american_recovery_and_reinvestment_act/20091102.asp
  • 22. Pedagogies and research
    • How: use preceding tools
    • Why?
    • information literacy: better, smarter search
    • information aggregation, or "knowledge construction" (Jason Ohler)
    • collaborative work, finding and facilitation
    • computer science class projects
  • 23. Pedagogies and research
    • CS: create semantic tools
    • Example: Welkin, from MIT’s SIMILE
    • http://simile.mit.edu/welkin/
  • 24. Limitations
    • too geeky, not visible
    • perceived expense
    • no killer app
    • complexity and scale of overall semantic enterprise
    • ecological growth means natural selection
  • 25. What to do with it?
    • Your turn.
  • 26. What next?
    • What do you see?
    • More tools
    • More RDF-readable data exposed
    • New functions
    • RDFa->HTML5?
    • Applying SKOS (Simple Knowledge Organization System) to references
  • 27.
    • Some resources
    • ENSEMBLE
    • http://www.ensemble.ac.uk/
    • Horizon Report
    • http://www.nmc.org/horizon
    • W3C Semantic Web resource
    • http://www.w3.org/2001/sw/
  • 28.
    • Some resources
    • Peter Mika, “Semantic Search Arrives at the Web” (2008)
    • http://www.devx.com/semantic/Article/38595/0/page/1
    • Jason Ohler, The Semantic Web in Education
    • EDUCAUSE Quarterly, Vol. 31, No. 4, 2008
    • http://connect.educause.edu/Library/EDUCAUSE+Quarterly/TheSemanticWebinEducation/47675
  • 29.
    • SemTech list of applications
    • http://semtech-survey.ecs.soton.ac.uk/technology
    • Liberal Education Today blog
    • http ://blog.nitle.org/let
    • http://blogs.nitle.org/let/?s=semantic
    • NITLE
    • http://nitle.org