Calais For Ona
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Calais For Ona



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Calais For Ona Calais For Ona Presentation Transcript

  • Introducing Calais
    • A Thomson Reuters initiative designed to make content interoperable on the Web
    • A free API that anyone can use
    • An easy way to automatically metatag the people, places, facts and events in your content
  • Why metatagging matters:
    • We’re still suffering from information overload
    • Web 2.0 doesn’t make it easier to find the information you need when you need it
    • Metatagging makes it easier to sort and filter content for both ‘push’ and ‘pull’ systems (search, RSS feeds, timely & targeted delivery, etc.)
    View slide
  • The market for tagged content is here
    • Semantic apps are being built by some of today’s hottest start-ups
    • Metadata is the de-facto ‘lingua franca’ of the content ecosystem
    • Publishers seek a simple way to make their content available ‘Web-wide’
    View slide
  • How it works
    • The Process
    • Calais accepts unstructured text and uses sophisticated NLP and machine learning techniques to return intelligent metadata
  • Calais progress to date
    • Launched in late January, 2008
    • Already, 5,700 developers have joined
    • Approx. 1 million content ‘transactions’ per day
    • Delivered three major update releases
    • Lots of interesting apps
      • The Mail & Guardian Online ( )
  • Quick tagging demo
  • Self Organizing Content
    • If I (automatically) know the topics, people, places, events in my content
    • I can (… with a little technology)
      • Automatically create topic hubs and more like this functionality
      • Organize inbound content to the appropriate sections of my site
      • De-duplicate content
      • Enhance search and navigatio n
  • Example: The Mail & Guardian Online, South African Newspaper
    • Using Calais to metatag new and historical articles, and:
      • Build an index or topics A-Z
      • Pull out automatic related articles or pictures
      • Create news alerts on companies or people
      • Pull up maps for the countries named in articles
      • Predict readers’ interests based on browsing habits
      • Create tag clouds, showing popular subjects, people, etc.
    Using Calais to optimize search and navigation; drive consumer engagement
  • Example: Gist - today’s news filtered by people, places & events GIST uses Calais to prioritize stories, rank newsmakers & reveal trends / reader demand. It automatically aggregates multiple news sources and slots them into topic.
  • Three easy ways to get started
    • 1. Use Calais to automatically tag your archives
      • = improved search & navigation
    • 2. Use Calais to drive alerts or feeds based on events, not just keywords
    • = timely alerts on events your readers care about
    • 3. Use the Calais toolkit of end-user ready applications!
    • = no coding required; get immediate benefits
    • Three modules make it easy for Drupal users to automatically tag content
    • Generate rich semantic metadata
    • Deliver a simple key for integration into the larger content ecosystem
    • Calais Tagaroo is for bloggers on the platform
    • Calais Marmoset creates metadata for Yahoo! SearchMonkey
  • Thank You! Thomas Tague, Calais Initiative Lead VP Solutions, ClearForest, a Thomson Reuters Company